Tutorial_Pandas_2023_1.ipynb

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        "<a href=\"https://colab.research.google.com/github/Javcm/Intro-a-Deep-Learning-UNAM-FC/blob/main/Tutorial_Pandas_2023_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "<img src = \"https://www.pythoncentral.io/wp-content/uploads/2021/07/c6h7rok9c2v31.jpg\" align = \"center\" >\n"
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    {
      "cell_type": "markdown",
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      "source": [
        "<font color = 'blue' size = 8>\n",
        "Tutorial Pandas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "inKjGno0FE8y"
      },
      "source": [
        "<font size=4>\n",
        "En este Notebook se aborda el uso de la paqueteria Pandas y su utilidad en diversas aplicaciones."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j8OYiTq0FE8z"
      },
      "source": [
        "<font color = 'Black' size = 5>\n",
        "1.- ¿Por qué Pandas?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "isZJ-o4rFE8z"
      },
      "source": [
        "<font size=4>\n",
        "\n",
        "Pandas es un herramienta para manipulación y análisis de datos de código abierto, rápida, poderosa, flexible y fácil de utilizar, construida sobre el lenguaje de programación Python.\\\n",
        "Es de uso común en la ciencia de datos y la inteligencia artificial debido a las ventajas y facilidades que proporciona para cargar, preparar, manipular, modelar y analizar datos."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CAVbRy0fFE80"
      },
      "source": [
        "<font size=4>\n",
        "Algunas características que hacen útil a Pandas son:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W_5xgEPGFE81"
      },
      "source": [
        "<font size=4>\n",
        "    \n",
        "1.- Estructuras de datos similares a matrices ($DataFrame$).\\\n",
        "2.- DataFrames similares a los de otros lenguajes de programación.\\\n",
        "3.- Básicamente, los DataFrames son equivalentes a una tabla.\\\n",
        "4.- Los datos en las columnas deben ser del mismo tipo, pero los datos en renglones pueden variar.\\\n",
        "5.- Altamente flexible para tomar datos de múltiples fuentes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e6bPyBycFE82"
      },
      "source": [
        "<font size=4> Cualquier cosa que quieras saber de esta biblioteca en el futuro lo puedes encontrar [aquí](https://pandas.pydata.org/docs/user_guide/index.html)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wbb5bllvFE82"
      },
      "source": [
        "<font color = 'Black' size = 5>\n",
        "2.- DataFrames (DF)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LtGcHiWbFE83"
      },
      "source": [
        "<font size=4>\n",
        "Importamos la paquetería Pandas:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3poTWlpQFE83"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HlhDJSS_FE84"
      },
      "source": [
        "<font size=4> Para este ejemplo se utilizó la base de datos **Superconductivty Data Data Set** del repositorio:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sJClV5iOFE84"
      },
      "source": [
        "[UCI Machine Learning Repository: Superconductivty Data Data Set ](https://archive.ics.uci.edu/ml/datasets/Superconductivty+Data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I_DeBFtzFE84"
      },
      "source": [
        "<font size=4> \n",
        "Hay dos archivos: \n",
        "\n",
        "(1) train.csv: contiene 81 características extraídas de 21263 superconductores junto con la temperatura crítica en la columna 82, \n",
        "\n",
        "\n",
        "(2) unique_m.csv: contiene la fórmula química dividida para todos los 21263 superconductores del archivo  train.csv \n",
        "\n",
        "\n",
        "\n",
        "Las dos últimas columnas tienen la temperatura crítica y la fórmula química. \n",
        "    \n",
        "**El objetivo de este trabajo fue es predecir la temperatura crítica en función de las características extraídas.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nLHKqr7nFE85"
      },
      "source": [
        "<font size=4> Levantamos el archivo CSV con pandas:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "yC0hOA1PTQ-h",
        "outputId": "9fe64ec2-1fd5-4400-ee52-19745854a69d"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
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          "height": 488
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        "outputId": "69511407-f27f-4eda-8aed-8bf733eaa43b"
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      "source": [
        "df = pd.read_csv('/content/drive/MyDrive/Classroom/Introducción a Redes Neuronales Temas Selectos de Física Computacional III/Tutorial Pandas/train.csv')\n",
        "\n",
        "#Mostramos el DataFrame\n",
        "df"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
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              "       number_of_elements  mean_atomic_mass  wtd_mean_atomic_mass  \\\n",
              "0                       4         88.944468             57.862692   \n",
              "1                       5         92.729214             58.518416   \n",
              "2                       4         88.944468             57.885242   \n",
              "3                       4         88.944468             57.873967   \n",
              "4                       4         88.944468             57.840143   \n",
              "...                   ...               ...                   ...   \n",
              "21258                   4        106.957877             53.095769   \n",
              "21259                   5         92.266740             49.021367   \n",
              "21260                   2         99.663190             95.609104   \n",
              "21261                   2         99.663190             97.095602   \n",
              "21262                   3         87.468333             86.858500   \n",
              "\n",
              "       gmean_atomic_mass  wtd_gmean_atomic_mass  entropy_atomic_mass  \\\n",
              "0              66.361592              36.116612             1.181795   \n",
              "1              73.132787              36.396602             1.449309   \n",
              "2              66.361592              36.122509             1.181795   \n",
              "3              66.361592              36.119560             1.181795   \n",
              "4              66.361592              36.110716             1.181795   \n",
              "...                  ...                    ...                  ...   \n",
              "21258          82.515384              43.135565             1.177145   \n",
              "21259          64.812662              32.867748             1.323287   \n",
              "21260          99.433882              95.464320             0.690847   \n",
              "21261          99.433882              96.901083             0.690847   \n",
              "21262          82.555758              80.458722             1.041270   \n",
              "\n",
              "       wtd_entropy_atomic_mass  range_atomic_mass  wtd_range_atomic_mass  \\\n",
              "0                     1.062396          122.90607              31.794921   \n",
              "1                     1.057755          122.90607              36.161939   \n",
              "2                     0.975980          122.90607              35.741099   \n",
              "3                     1.022291          122.90607              33.768010   \n",
              "4                     1.129224          122.90607              27.848743   \n",
              "...                        ...                ...                    ...   \n",
              "21258                 1.254119          146.88130              15.504479   \n",
              "21259                 1.571630          188.38390               7.353333   \n",
              "21260                 0.530198           13.51362              53.041104   \n",
              "21261                 0.640883           13.51362              31.115202   \n",
              "21262                 0.895229           71.75500              43.144000   \n",
              "\n",
              "       std_atomic_mass  ...  wtd_mean_Valence  gmean_Valence  \\\n",
              "0            51.968828  ...          2.257143       2.213364   \n",
              "1            47.094633  ...          2.257143       1.888175   \n",
              "2            51.968828  ...          2.271429       2.213364   \n",
              "3            51.968828  ...          2.264286       2.213364   \n",
              "4            51.968828  ...          2.242857       2.213364   \n",
              "...                ...  ...               ...            ...   \n",
              "21258        65.764081  ...          3.555556       3.223710   \n",
              "21259        69.232655  ...          2.047619       2.168944   \n",
              "21260         6.756810  ...          4.800000       4.472136   \n",
              "21261         6.756810  ...          4.690000       4.472136   \n",
              "21262        29.905282  ...          4.500000       4.762203   \n",
              "\n",
              "       wtd_gmean_Valence  entropy_Valence  wtd_entropy_Valence  range_Valence  \\\n",
              "0               2.219783         1.368922             1.066221              1   \n",
              "1               2.210679         1.557113             1.047221              2   \n",
              "2               2.232679         1.368922             1.029175              1   \n",
              "3               2.226222         1.368922             1.048834              1   \n",
              "4               2.206963         1.368922             1.096052              1   \n",
              "...                  ...              ...                  ...            ...   \n",
              "21258           3.519911         1.377820             0.913658              1   \n",
              "21259           2.038991         1.594167             1.337246              1   \n",
              "21260           4.781762         0.686962             0.450561              1   \n",
              "21261           4.665819         0.686962             0.577601              1   \n",
              "21262           4.242641         1.054920             0.970116              3   \n",
              "\n",
              "       wtd_range_Valence  std_Valence  wtd_std_Valence  critical_temp  \n",
              "0               1.085714     0.433013         0.437059          29.00  \n",
              "1               1.128571     0.632456         0.468606          26.00  \n",
              "2               1.114286     0.433013         0.444697          19.00  \n",
              "3               1.100000     0.433013         0.440952          22.00  \n",
              "4               1.057143     0.433013         0.428809          23.00  \n",
              "...                  ...          ...              ...            ...  \n",
              "21258           2.168889     0.433013         0.496904           2.44  \n",
              "21259           0.904762     0.400000         0.212959         122.10  \n",
              "21260           3.200000     0.500000         0.400000           1.98  \n",
              "21261           2.210000     0.500000         0.462493           1.84  \n",
              "21262           1.800000     1.414214         1.500000          12.80  \n",
              "\n",
              "[21263 rows x 82 columns]"
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              "      <th>wtd_entropy_Valence</th>\n",
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              "      <td>1.066221</td>\n",
              "      <td>1</td>\n",
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              "      <td>0.433013</td>\n",
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              "      <td>29.00</td>\n",
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              "      <th>1</th>\n",
              "      <td>5</td>\n",
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              "      <td>58.518416</td>\n",
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              "      <td>26.00</td>\n",
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              "      <td>57.885242</td>\n",
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              "      <td>35.741099</td>\n",
              "      <td>51.968828</td>\n",
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              "      <td>32.867748</td>\n",
              "      <td>1.323287</td>\n",
              "      <td>1.571630</td>\n",
              "      <td>188.38390</td>\n",
              "      <td>7.353333</td>\n",
              "      <td>69.232655</td>\n",
              "      <td>...</td>\n",
              "      <td>2.047619</td>\n",
              "      <td>2.168944</td>\n",
              "      <td>2.038991</td>\n",
              "      <td>1.594167</td>\n",
              "      <td>1.337246</td>\n",
              "      <td>1</td>\n",
              "      <td>0.904762</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.212959</td>\n",
              "      <td>122.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>95.609104</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>95.464320</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.530198</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>53.041104</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>...</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.781762</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.450561</td>\n",
              "      <td>1</td>\n",
              "      <td>3.200000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>97.095602</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>96.901083</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.640883</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>31.115202</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>...</td>\n",
              "      <td>4.690000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.665819</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.577601</td>\n",
              "      <td>1</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.462493</td>\n",
              "      <td>1.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>3</td>\n",
              "      <td>87.468333</td>\n",
              "      <td>86.858500</td>\n",
              "      <td>82.555758</td>\n",
              "      <td>80.458722</td>\n",
              "      <td>1.041270</td>\n",
              "      <td>0.895229</td>\n",
              "      <td>71.75500</td>\n",
              "      <td>43.144000</td>\n",
              "      <td>29.905282</td>\n",
              "      <td>...</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4.762203</td>\n",
              "      <td>4.242641</td>\n",
              "      <td>1.054920</td>\n",
              "      <td>0.970116</td>\n",
              "      <td>3</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>1.414214</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>12.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21263 rows × 82 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9350b820-bb34-4aba-945d-03bd283dbca0')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9350b820-bb34-4aba-945d-03bd283dbca0 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9350b820-bb34-4aba-945d-03bd283dbca0');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FA6tMzG_FE85"
      },
      "source": [
        "<font size=4> Podemos verificar las dimensiones del DataFrame con el atributo **.shape** como en los arreglos de Python."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YhDLdr_UFE85",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "82fa07c7-b15f-465a-a845-91d00533c10e"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(21263, 82)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JJgYXpP9FE86"
      },
      "source": [
        "<font size=4> Observamos que tenemos 21263 superconductores y 82 rasgos (features) de cada uno."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XnS7D5CeFE86"
      },
      "source": [
        "<font size=4> Podemos visualizar los primeros $n$ renglones con el atributo **.head(n)** y los últimos $m$ con **.tail(m)** de la siguiente manera:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XnRlVigdFE86",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 408
        },
        "outputId": "c3d81422-4587-4fa2-d978-1a439138cd20"
      },
      "source": [
        "n = 10 \n",
        "df.head(n)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>number_of_elements</th>\n",
              "      <th>mean_atomic_mass</th>\n",
              "      <th>wtd_mean_atomic_mass</th>\n",
              "      <th>gmean_atomic_mass</th>\n",
              "      <th>wtd_gmean_atomic_mass</th>\n",
              "      <th>entropy_atomic_mass</th>\n",
              "      <th>wtd_entropy_atomic_mass</th>\n",
              "      <th>range_atomic_mass</th>\n",
              "      <th>wtd_range_atomic_mass</th>\n",
              "      <th>std_atomic_mass</th>\n",
              "      <th>wtd_std_atomic_mass</th>\n",
              "      <th>mean_fie</th>\n",
              "      <th>wtd_mean_fie</th>\n",
              "      <th>gmean_fie</th>\n",
              "      <th>wtd_gmean_fie</th>\n",
              "      <th>entropy_fie</th>\n",
              "      <th>wtd_entropy_fie</th>\n",
              "      <th>range_fie</th>\n",
              "      <th>wtd_range_fie</th>\n",
              "      <th>std_fie</th>\n",
              "      <th>wtd_std_fie</th>\n",
              "      <th>mean_atomic_radius</th>\n",
              "      <th>wtd_mean_atomic_radius</th>\n",
              "      <th>gmean_atomic_radius</th>\n",
              "      <th>wtd_gmean_atomic_radius</th>\n",
              "      <th>entropy_atomic_radius</th>\n",
              "      <th>wtd_entropy_atomic_radius</th>\n",
              "      <th>range_atomic_radius</th>\n",
              "      <th>wtd_range_atomic_radius</th>\n",
              "      <th>std_atomic_radius</th>\n",
              "      <th>wtd_std_atomic_radius</th>\n",
              "      <th>mean_Density</th>\n",
              "      <th>wtd_mean_Density</th>\n",
              "      <th>gmean_Density</th>\n",
              "      <th>wtd_gmean_Density</th>\n",
              "      <th>entropy_Density</th>\n",
              "      <th>wtd_entropy_Density</th>\n",
              "      <th>range_Density</th>\n",
              "      <th>wtd_range_Density</th>\n",
              "      <th>std_Density</th>\n",
              "      <th>...</th>\n",
              "      <th>wtd_mean_ElectronAffinity</th>\n",
              "      <th>gmean_ElectronAffinity</th>\n",
              "      <th>wtd_gmean_ElectronAffinity</th>\n",
              "      <th>entropy_ElectronAffinity</th>\n",
              "      <th>wtd_entropy_ElectronAffinity</th>\n",
              "      <th>range_ElectronAffinity</th>\n",
              "      <th>wtd_range_ElectronAffinity</th>\n",
              "      <th>std_ElectronAffinity</th>\n",
              "      <th>wtd_std_ElectronAffinity</th>\n",
              "      <th>mean_FusionHeat</th>\n",
              "      <th>wtd_mean_FusionHeat</th>\n",
              "      <th>gmean_FusionHeat</th>\n",
              "      <th>wtd_gmean_FusionHeat</th>\n",
              "      <th>entropy_FusionHeat</th>\n",
              "      <th>wtd_entropy_FusionHeat</th>\n",
              "      <th>range_FusionHeat</th>\n",
              "      <th>wtd_range_FusionHeat</th>\n",
              "      <th>std_FusionHeat</th>\n",
              "      <th>wtd_std_FusionHeat</th>\n",
              "      <th>mean_ThermalConductivity</th>\n",
              "      <th>wtd_mean_ThermalConductivity</th>\n",
              "      <th>gmean_ThermalConductivity</th>\n",
              "      <th>wtd_gmean_ThermalConductivity</th>\n",
              "      <th>entropy_ThermalConductivity</th>\n",
              "      <th>wtd_entropy_ThermalConductivity</th>\n",
              "      <th>range_ThermalConductivity</th>\n",
              "      <th>wtd_range_ThermalConductivity</th>\n",
              "      <th>std_ThermalConductivity</th>\n",
              "      <th>wtd_std_ThermalConductivity</th>\n",
              "      <th>mean_Valence</th>\n",
              "      <th>wtd_mean_Valence</th>\n",
              "      <th>gmean_Valence</th>\n",
              "      <th>wtd_gmean_Valence</th>\n",
              "      <th>entropy_Valence</th>\n",
              "      <th>wtd_entropy_Valence</th>\n",
              "      <th>range_Valence</th>\n",
              "      <th>wtd_range_Valence</th>\n",
              "      <th>std_Valence</th>\n",
              "      <th>wtd_std_Valence</th>\n",
              "      <th>critical_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.862692</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.116612</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.062396</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>31.794921</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.622535</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1010.268571</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.016780</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.791488</td>\n",
              "      <td>810.6</td>\n",
              "      <td>735.985714</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.562967</td>\n",
              "      <td>160.25</td>\n",
              "      <td>105.514286</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.528423</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.207040</td>\n",
              "      <td>205</td>\n",
              "      <td>42.914286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>69.235569</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2961.502286</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.543811</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.814598</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1579.583429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.727143</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>99.414682</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787382</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.987143</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.558396</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.846857</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.040986</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.994998</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.666920</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.015189</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.621979</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.262848</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.517163</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.219783</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.066221</td>\n",
              "      <td>1</td>\n",
              "      <td>1.085714</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.437059</td>\n",
              "      <td>29.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>92.729214</td>\n",
              "      <td>58.518416</td>\n",
              "      <td>73.132787</td>\n",
              "      <td>36.396602</td>\n",
              "      <td>1.449309</td>\n",
              "      <td>1.057755</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>36.161939</td>\n",
              "      <td>47.094633</td>\n",
              "      <td>53.979870</td>\n",
              "      <td>766.440</td>\n",
              "      <td>1010.612857</td>\n",
              "      <td>720.605511</td>\n",
              "      <td>938.745413</td>\n",
              "      <td>1.544145</td>\n",
              "      <td>0.807078</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>290.183029</td>\n",
              "      <td>354.963511</td>\n",
              "      <td>161.20</td>\n",
              "      <td>104.971429</td>\n",
              "      <td>141.465215</td>\n",
              "      <td>84.370167</td>\n",
              "      <td>1.508328</td>\n",
              "      <td>1.204115</td>\n",
              "      <td>205</td>\n",
              "      <td>50.571429</td>\n",
              "      <td>67.321319</td>\n",
              "      <td>68.008817</td>\n",
              "      <td>5821.48580</td>\n",
              "      <td>3021.016571</td>\n",
              "      <td>1237.095080</td>\n",
              "      <td>54.095718</td>\n",
              "      <td>1.314442</td>\n",
              "      <td>0.914802</td>\n",
              "      <td>10488.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3767.403176</td>\n",
              "      <td>...</td>\n",
              "      <td>112.316429</td>\n",
              "      <td>69.833315</td>\n",
              "      <td>101.166398</td>\n",
              "      <td>1.427997</td>\n",
              "      <td>0.838666</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>49.438167</td>\n",
              "      <td>41.667621</td>\n",
              "      <td>7.7844</td>\n",
              "      <td>3.796857</td>\n",
              "      <td>4.403790</td>\n",
              "      <td>1.035251</td>\n",
              "      <td>1.374977</td>\n",
              "      <td>1.073094</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.595714</td>\n",
              "      <td>4.473363</td>\n",
              "      <td>4.603000</td>\n",
              "      <td>172.205316</td>\n",
              "      <td>61.372331</td>\n",
              "      <td>16.064228</td>\n",
              "      <td>0.619735</td>\n",
              "      <td>0.847404</td>\n",
              "      <td>0.567706</td>\n",
              "      <td>429.97342</td>\n",
              "      <td>51.413383</td>\n",
              "      <td>198.554600</td>\n",
              "      <td>139.630922</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>1.888175</td>\n",
              "      <td>2.210679</td>\n",
              "      <td>1.557113</td>\n",
              "      <td>1.047221</td>\n",
              "      <td>2</td>\n",
              "      <td>1.128571</td>\n",
              "      <td>0.632456</td>\n",
              "      <td>0.468606</td>\n",
              "      <td>26.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.885242</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.122509</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>0.975980</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>35.741099</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.656268</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1010.820000</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>939.009036</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.773620</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>354.804183</td>\n",
              "      <td>160.25</td>\n",
              "      <td>104.685714</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.214573</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.132547</td>\n",
              "      <td>205</td>\n",
              "      <td>49.314286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>67.797712</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2999.159429</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.974022</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.760305</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>112.213571</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>101.082152</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786007</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>41.639878</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.822571</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.037439</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.927479</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.757143</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.649635</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.943760</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.619095</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.250477</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.540613</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.271429</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.232679</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.029175</td>\n",
              "      <td>1</td>\n",
              "      <td>1.114286</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.444697</td>\n",
              "      <td>19.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.873967</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.119560</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.022291</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>33.768010</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.639405</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1010.544286</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.512777</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.783207</td>\n",
              "      <td>810.6</td>\n",
              "      <td>739.575000</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.183884</td>\n",
              "      <td>160.25</td>\n",
              "      <td>105.100000</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.371352</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.173033</td>\n",
              "      <td>205</td>\n",
              "      <td>46.114286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>68.521665</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2980.330857</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.758486</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.788889</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1623.483429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.970357</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>100.244950</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786900</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.097500</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.102344</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.834714</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.039211</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.964031</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.658301</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.979474</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.620535</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.257045</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.528893</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.264286</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.226222</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.048834</td>\n",
              "      <td>1</td>\n",
              "      <td>1.100000</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.440952</td>\n",
              "      <td>22.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.840143</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.110716</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.129224</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>27.848743</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.588771</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1009.717143</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>937.025573</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.805230</td>\n",
              "      <td>810.6</td>\n",
              "      <td>728.807143</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>356.319281</td>\n",
              "      <td>160.25</td>\n",
              "      <td>106.342857</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.843442</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.261194</td>\n",
              "      <td>205</td>\n",
              "      <td>36.514286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>70.634448</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2923.845143</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.117029</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.859811</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1491.783429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.240714</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>97.774719</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787396</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.766429</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>43.452059</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.871143</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.044545</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>1.044970</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.684014</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.086617</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.624878</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.272820</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.493671</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.242857</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.206963</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.096052</td>\n",
              "      <td>1</td>\n",
              "      <td>1.057143</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.428809</td>\n",
              "      <td>23.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.795044</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.098926</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.225203</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>20.687458</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.521150</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1008.614286</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>935.046300</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.824743</td>\n",
              "      <td>810.6</td>\n",
              "      <td>714.450000</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>357.824566</td>\n",
              "      <td>160.25</td>\n",
              "      <td>108.000000</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>85.477006</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.331339</td>\n",
              "      <td>205</td>\n",
              "      <td>23.714286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>73.324134</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2848.530857</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>52.273642</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.932369</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1316.183429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>110.267857</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>94.575505</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.784461</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.325000</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>45.170683</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.919714</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.051699</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>1.111850</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.717642</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.229474</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.630715</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.288236</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.446567</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.214286</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.181543</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.141474</td>\n",
              "      <td>1</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.410326</td>\n",
              "      <td>23.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.682296</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.069470</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.316857</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>10.765639</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.351558</td>\n",
              "      <td>775.425</td>\n",
              "      <td>1005.857143</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>930.116389</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.841872</td>\n",
              "      <td>810.6</td>\n",
              "      <td>678.557143</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>361.545642</td>\n",
              "      <td>160.25</td>\n",
              "      <td>112.142857</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>87.081694</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.367279</td>\n",
              "      <td>205</td>\n",
              "      <td>15.428571</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>79.500995</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2660.245143</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>50.223298</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>1.034877</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1279.183429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>107.835714</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>87.027980</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.762603</td>\n",
              "      <td>127.05</td>\n",
              "      <td>79.221429</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>49.121095</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>4.041143</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.069798</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>1.156821</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.798531</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.586617</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.645547</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.309727</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.328090</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.142857</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.119268</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.194453</td>\n",
              "      <td>1</td>\n",
              "      <td>0.857143</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.349927</td>\n",
              "      <td>11.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>4</td>\n",
              "      <td>76.517718</td>\n",
              "      <td>57.175142</td>\n",
              "      <td>59.310096</td>\n",
              "      <td>35.891368</td>\n",
              "      <td>1.197273</td>\n",
              "      <td>0.943560</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>36.451199</td>\n",
              "      <td>44.289459</td>\n",
              "      <td>52.924140</td>\n",
              "      <td>787.050</td>\n",
              "      <td>1011.484286</td>\n",
              "      <td>734.219624</td>\n",
              "      <td>940.197000</td>\n",
              "      <td>1.313008</td>\n",
              "      <td>0.776332</td>\n",
              "      <td>772.0</td>\n",
              "      <td>742.500000</td>\n",
              "      <td>314.505966</td>\n",
              "      <td>353.894217</td>\n",
              "      <td>151.75</td>\n",
              "      <td>104.200000</td>\n",
              "      <td>131.302197</td>\n",
              "      <td>84.041128</td>\n",
              "      <td>1.275274</td>\n",
              "      <td>1.121818</td>\n",
              "      <td>171</td>\n",
              "      <td>49.800000</td>\n",
              "      <td>65.579627</td>\n",
              "      <td>66.848571</td>\n",
              "      <td>4434.35725</td>\n",
              "      <td>2986.588000</td>\n",
              "      <td>674.484751</td>\n",
              "      <td>53.751929</td>\n",
              "      <td>0.995983</td>\n",
              "      <td>0.745715</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3402.856196</td>\n",
              "      <td>...</td>\n",
              "      <td>112.086143</td>\n",
              "      <td>48.477265</td>\n",
              "      <td>99.846169</td>\n",
              "      <td>1.096672</td>\n",
              "      <td>0.779397</td>\n",
              "      <td>135.97</td>\n",
              "      <td>81.335286</td>\n",
              "      <td>54.373097</td>\n",
              "      <td>41.948310</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.822571</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.037439</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.927479</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.757143</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.649635</td>\n",
              "      <td>112.006645</td>\n",
              "      <td>61.186617</td>\n",
              "      <td>8.339818</td>\n",
              "      <td>0.625004</td>\n",
              "      <td>0.403693</td>\n",
              "      <td>0.269730</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>166.742351</td>\n",
              "      <td>138.480008</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.271429</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.232679</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.029175</td>\n",
              "      <td>1</td>\n",
              "      <td>1.114286</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.444697</td>\n",
              "      <td>33.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>4</td>\n",
              "      <td>76.517718</td>\n",
              "      <td>56.808817</td>\n",
              "      <td>59.310096</td>\n",
              "      <td>35.773432</td>\n",
              "      <td>1.197273</td>\n",
              "      <td>0.981880</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>34.833160</td>\n",
              "      <td>44.289459</td>\n",
              "      <td>52.533207</td>\n",
              "      <td>787.050</td>\n",
              "      <td>1011.540714</td>\n",
              "      <td>734.219624</td>\n",
              "      <td>940.294344</td>\n",
              "      <td>1.313008</td>\n",
              "      <td>0.786865</td>\n",
              "      <td>772.0</td>\n",
              "      <td>738.578571</td>\n",
              "      <td>314.505966</td>\n",
              "      <td>353.819831</td>\n",
              "      <td>151.75</td>\n",
              "      <td>104.371429</td>\n",
              "      <td>131.302197</td>\n",
              "      <td>84.110835</td>\n",
              "      <td>1.275274</td>\n",
              "      <td>1.160060</td>\n",
              "      <td>171</td>\n",
              "      <td>46.842857</td>\n",
              "      <td>65.579627</td>\n",
              "      <td>67.111458</td>\n",
              "      <td>4434.35725</td>\n",
              "      <td>2961.473714</td>\n",
              "      <td>674.484751</td>\n",
              "      <td>53.427017</td>\n",
              "      <td>0.995983</td>\n",
              "      <td>0.769628</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1623.483429</td>\n",
              "      <td>3402.856196</td>\n",
              "      <td>...</td>\n",
              "      <td>111.779214</td>\n",
              "      <td>48.477265</td>\n",
              "      <td>98.411962</td>\n",
              "      <td>1.096672</td>\n",
              "      <td>0.777657</td>\n",
              "      <td>135.97</td>\n",
              "      <td>81.288643</td>\n",
              "      <td>54.373097</td>\n",
              "      <td>42.557892</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.834714</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.039211</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.964031</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.658301</td>\n",
              "      <td>112.006645</td>\n",
              "      <td>61.343760</td>\n",
              "      <td>8.339818</td>\n",
              "      <td>0.629441</td>\n",
              "      <td>0.403693</td>\n",
              "      <td>0.283412</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>166.742351</td>\n",
              "      <td>138.437714</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.264286</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.226222</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.048834</td>\n",
              "      <td>1</td>\n",
              "      <td>1.100000</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.440952</td>\n",
              "      <td>36.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>4</td>\n",
              "      <td>76.517718</td>\n",
              "      <td>56.442492</td>\n",
              "      <td>59.310096</td>\n",
              "      <td>35.655884</td>\n",
              "      <td>1.197273</td>\n",
              "      <td>1.016495</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>33.215121</td>\n",
              "      <td>44.289459</td>\n",
              "      <td>52.136769</td>\n",
              "      <td>787.050</td>\n",
              "      <td>1011.597143</td>\n",
              "      <td>734.219624</td>\n",
              "      <td>940.391699</td>\n",
              "      <td>1.313008</td>\n",
              "      <td>0.795977</td>\n",
              "      <td>772.0</td>\n",
              "      <td>734.657143</td>\n",
              "      <td>314.505966</td>\n",
              "      <td>353.745421</td>\n",
              "      <td>151.75</td>\n",
              "      <td>104.542857</td>\n",
              "      <td>131.302197</td>\n",
              "      <td>84.180599</td>\n",
              "      <td>1.275274</td>\n",
              "      <td>1.192734</td>\n",
              "      <td>171</td>\n",
              "      <td>43.885714</td>\n",
              "      <td>65.579627</td>\n",
              "      <td>67.372883</td>\n",
              "      <td>4434.35725</td>\n",
              "      <td>2936.359429</td>\n",
              "      <td>674.484751</td>\n",
              "      <td>53.104070</td>\n",
              "      <td>0.995983</td>\n",
              "      <td>0.791445</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1579.583429</td>\n",
              "      <td>3402.856196</td>\n",
              "      <td>...</td>\n",
              "      <td>111.472286</td>\n",
              "      <td>48.477265</td>\n",
              "      <td>96.998357</td>\n",
              "      <td>1.096672</td>\n",
              "      <td>0.775688</td>\n",
              "      <td>135.97</td>\n",
              "      <td>81.242000</td>\n",
              "      <td>54.373097</td>\n",
              "      <td>43.156683</td>\n",
              "      <td>6.9055</td>\n",
              "      <td>3.846857</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.040986</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.994998</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.666920</td>\n",
              "      <td>112.006645</td>\n",
              "      <td>61.500903</td>\n",
              "      <td>8.339818</td>\n",
              "      <td>0.633910</td>\n",
              "      <td>0.403693</td>\n",
              "      <td>0.295609</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>166.742351</td>\n",
              "      <td>138.395229</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.219783</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.066221</td>\n",
              "      <td>1</td>\n",
              "      <td>1.085714</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.437059</td>\n",
              "      <td>31.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 82 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   number_of_elements  mean_atomic_mass  ...  wtd_std_Valence  critical_temp\n",
              "0                   4         88.944468  ...         0.437059           29.0\n",
              "1                   5         92.729214  ...         0.468606           26.0\n",
              "2                   4         88.944468  ...         0.444697           19.0\n",
              "3                   4         88.944468  ...         0.440952           22.0\n",
              "4                   4         88.944468  ...         0.428809           23.0\n",
              "5                   4         88.944468  ...         0.410326           23.0\n",
              "6                   4         88.944468  ...         0.349927           11.0\n",
              "7                   4         76.517718  ...         0.444697           33.0\n",
              "8                   4         76.517718  ...         0.440952           36.0\n",
              "9                   4         76.517718  ...         0.437059           31.0\n",
              "\n",
              "[10 rows x 82 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QWPO8oWIFE86",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "d3bf80cb-8ed0-43bf-e59c-899a76504d78"
      },
      "source": [
        "m = 5\n",
        "df.tail(m)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>number_of_elements</th>\n",
              "      <th>mean_atomic_mass</th>\n",
              "      <th>wtd_mean_atomic_mass</th>\n",
              "      <th>gmean_atomic_mass</th>\n",
              "      <th>wtd_gmean_atomic_mass</th>\n",
              "      <th>entropy_atomic_mass</th>\n",
              "      <th>wtd_entropy_atomic_mass</th>\n",
              "      <th>range_atomic_mass</th>\n",
              "      <th>wtd_range_atomic_mass</th>\n",
              "      <th>std_atomic_mass</th>\n",
              "      <th>wtd_std_atomic_mass</th>\n",
              "      <th>mean_fie</th>\n",
              "      <th>wtd_mean_fie</th>\n",
              "      <th>gmean_fie</th>\n",
              "      <th>wtd_gmean_fie</th>\n",
              "      <th>entropy_fie</th>\n",
              "      <th>wtd_entropy_fie</th>\n",
              "      <th>range_fie</th>\n",
              "      <th>wtd_range_fie</th>\n",
              "      <th>std_fie</th>\n",
              "      <th>wtd_std_fie</th>\n",
              "      <th>mean_atomic_radius</th>\n",
              "      <th>wtd_mean_atomic_radius</th>\n",
              "      <th>gmean_atomic_radius</th>\n",
              "      <th>wtd_gmean_atomic_radius</th>\n",
              "      <th>entropy_atomic_radius</th>\n",
              "      <th>wtd_entropy_atomic_radius</th>\n",
              "      <th>range_atomic_radius</th>\n",
              "      <th>wtd_range_atomic_radius</th>\n",
              "      <th>std_atomic_radius</th>\n",
              "      <th>wtd_std_atomic_radius</th>\n",
              "      <th>mean_Density</th>\n",
              "      <th>wtd_mean_Density</th>\n",
              "      <th>gmean_Density</th>\n",
              "      <th>wtd_gmean_Density</th>\n",
              "      <th>entropy_Density</th>\n",
              "      <th>wtd_entropy_Density</th>\n",
              "      <th>range_Density</th>\n",
              "      <th>wtd_range_Density</th>\n",
              "      <th>std_Density</th>\n",
              "      <th>...</th>\n",
              "      <th>wtd_mean_ElectronAffinity</th>\n",
              "      <th>gmean_ElectronAffinity</th>\n",
              "      <th>wtd_gmean_ElectronAffinity</th>\n",
              "      <th>entropy_ElectronAffinity</th>\n",
              "      <th>wtd_entropy_ElectronAffinity</th>\n",
              "      <th>range_ElectronAffinity</th>\n",
              "      <th>wtd_range_ElectronAffinity</th>\n",
              "      <th>std_ElectronAffinity</th>\n",
              "      <th>wtd_std_ElectronAffinity</th>\n",
              "      <th>mean_FusionHeat</th>\n",
              "      <th>wtd_mean_FusionHeat</th>\n",
              "      <th>gmean_FusionHeat</th>\n",
              "      <th>wtd_gmean_FusionHeat</th>\n",
              "      <th>entropy_FusionHeat</th>\n",
              "      <th>wtd_entropy_FusionHeat</th>\n",
              "      <th>range_FusionHeat</th>\n",
              "      <th>wtd_range_FusionHeat</th>\n",
              "      <th>std_FusionHeat</th>\n",
              "      <th>wtd_std_FusionHeat</th>\n",
              "      <th>mean_ThermalConductivity</th>\n",
              "      <th>wtd_mean_ThermalConductivity</th>\n",
              "      <th>gmean_ThermalConductivity</th>\n",
              "      <th>wtd_gmean_ThermalConductivity</th>\n",
              "      <th>entropy_ThermalConductivity</th>\n",
              "      <th>wtd_entropy_ThermalConductivity</th>\n",
              "      <th>range_ThermalConductivity</th>\n",
              "      <th>wtd_range_ThermalConductivity</th>\n",
              "      <th>std_ThermalConductivity</th>\n",
              "      <th>wtd_std_ThermalConductivity</th>\n",
              "      <th>mean_Valence</th>\n",
              "      <th>wtd_mean_Valence</th>\n",
              "      <th>gmean_Valence</th>\n",
              "      <th>wtd_gmean_Valence</th>\n",
              "      <th>entropy_Valence</th>\n",
              "      <th>wtd_entropy_Valence</th>\n",
              "      <th>range_Valence</th>\n",
              "      <th>wtd_range_Valence</th>\n",
              "      <th>std_Valence</th>\n",
              "      <th>wtd_std_Valence</th>\n",
              "      <th>critical_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>21258</th>\n",
              "      <td>4</td>\n",
              "      <td>106.957877</td>\n",
              "      <td>53.095769</td>\n",
              "      <td>82.515384</td>\n",
              "      <td>43.135565</td>\n",
              "      <td>1.177145</td>\n",
              "      <td>1.254119</td>\n",
              "      <td>146.88130</td>\n",
              "      <td>15.504479</td>\n",
              "      <td>65.764081</td>\n",
              "      <td>43.202659</td>\n",
              "      <td>661.775000</td>\n",
              "      <td>753.793333</td>\n",
              "      <td>651.611213</td>\n",
              "      <td>750.570867</td>\n",
              "      <td>1.371139</td>\n",
              "      <td>0.927050</td>\n",
              "      <td>273.0</td>\n",
              "      <td>427.546667</td>\n",
              "      <td>114.383355</td>\n",
              "      <td>64.428777</td>\n",
              "      <td>176.500000</td>\n",
              "      <td>138.244444</td>\n",
              "      <td>169.947614</td>\n",
              "      <td>134.233861</td>\n",
              "      <td>1.350879</td>\n",
              "      <td>1.112222</td>\n",
              "      <td>111</td>\n",
              "      <td>57.808889</td>\n",
              "      <td>45.883003</td>\n",
              "      <td>35.811330</td>\n",
              "      <td>7341.2500</td>\n",
              "      <td>4963.928889</td>\n",
              "      <td>6404.741690</td>\n",
              "      <td>4082.735787</td>\n",
              "      <td>1.284617</td>\n",
              "      <td>1.110551</td>\n",
              "      <td>7511.000</td>\n",
              "      <td>2449.715556</td>\n",
              "      <td>2981.637585</td>\n",
              "      <td>...</td>\n",
              "      <td>86.511111</td>\n",
              "      <td>49.825259</td>\n",
              "      <td>61.057784</td>\n",
              "      <td>1.164382</td>\n",
              "      <td>0.511822</td>\n",
              "      <td>117.90</td>\n",
              "      <td>74.140</td>\n",
              "      <td>43.467883</td>\n",
              "      <td>55.219027</td>\n",
              "      <td>25.700000</td>\n",
              "      <td>34.448000</td>\n",
              "      <td>22.494622</td>\n",
              "      <td>29.041737</td>\n",
              "      <td>1.245563</td>\n",
              "      <td>0.631341</td>\n",
              "      <td>36.400</td>\n",
              "      <td>27.497778</td>\n",
              "      <td>14.446107</td>\n",
              "      <td>17.657417</td>\n",
              "      <td>65.500000</td>\n",
              "      <td>111.537778</td>\n",
              "      <td>42.371302</td>\n",
              "      <td>95.001493</td>\n",
              "      <td>1.029002</td>\n",
              "      <td>0.634332</td>\n",
              "      <td>134.00000</td>\n",
              "      <td>83.048889</td>\n",
              "      <td>55.056789</td>\n",
              "      <td>46.595943</td>\n",
              "      <td>3.25</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>3.223710</td>\n",
              "      <td>3.519911</td>\n",
              "      <td>1.377820</td>\n",
              "      <td>0.913658</td>\n",
              "      <td>1</td>\n",
              "      <td>2.168889</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.496904</td>\n",
              "      <td>2.44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21259</th>\n",
              "      <td>5</td>\n",
              "      <td>92.266740</td>\n",
              "      <td>49.021367</td>\n",
              "      <td>64.812662</td>\n",
              "      <td>32.867748</td>\n",
              "      <td>1.323287</td>\n",
              "      <td>1.571630</td>\n",
              "      <td>188.38390</td>\n",
              "      <td>7.353333</td>\n",
              "      <td>69.232655</td>\n",
              "      <td>50.148287</td>\n",
              "      <td>747.780000</td>\n",
              "      <td>989.819048</td>\n",
              "      <td>702.115184</td>\n",
              "      <td>923.426093</td>\n",
              "      <td>1.541006</td>\n",
              "      <td>0.988470</td>\n",
              "      <td>810.6</td>\n",
              "      <td>659.771429</td>\n",
              "      <td>293.286136</td>\n",
              "      <td>345.450969</td>\n",
              "      <td>159.200000</td>\n",
              "      <td>112.000000</td>\n",
              "      <td>139.743372</td>\n",
              "      <td>89.633687</td>\n",
              "      <td>1.507321</td>\n",
              "      <td>1.536691</td>\n",
              "      <td>205</td>\n",
              "      <td>20.285714</td>\n",
              "      <td>67.211309</td>\n",
              "      <td>72.795212</td>\n",
              "      <td>5174.2858</td>\n",
              "      <td>2827.415190</td>\n",
              "      <td>962.364248</td>\n",
              "      <td>66.286408</td>\n",
              "      <td>1.165065</td>\n",
              "      <td>1.080432</td>\n",
              "      <td>11848.571</td>\n",
              "      <td>1705.918143</td>\n",
              "      <td>4506.895480</td>\n",
              "      <td>...</td>\n",
              "      <td>100.490952</td>\n",
              "      <td>29.177546</td>\n",
              "      <td>60.814837</td>\n",
              "      <td>1.112639</td>\n",
              "      <td>0.693424</td>\n",
              "      <td>138.63</td>\n",
              "      <td>74.090</td>\n",
              "      <td>58.434336</td>\n",
              "      <td>57.634544</td>\n",
              "      <td>6.812400</td>\n",
              "      <td>4.793429</td>\n",
              "      <td>3.839585</td>\n",
              "      <td>1.315769</td>\n",
              "      <td>1.345508</td>\n",
              "      <td>1.203223</td>\n",
              "      <td>12.878</td>\n",
              "      <td>2.378952</td>\n",
              "      <td>4.340205</td>\n",
              "      <td>5.204855</td>\n",
              "      <td>132.805316</td>\n",
              "      <td>108.680590</td>\n",
              "      <td>17.747413</td>\n",
              "      <td>1.577047</td>\n",
              "      <td>0.949904</td>\n",
              "      <td>0.745515</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>76.176553</td>\n",
              "      <td>151.164639</td>\n",
              "      <td>156.558695</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2.047619</td>\n",
              "      <td>2.168944</td>\n",
              "      <td>2.038991</td>\n",
              "      <td>1.594167</td>\n",
              "      <td>1.337246</td>\n",
              "      <td>1</td>\n",
              "      <td>0.904762</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.212959</td>\n",
              "      <td>122.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>95.609104</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>95.464320</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.530198</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>53.041104</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>5.405448</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>691.580000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>689.480961</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.542120</td>\n",
              "      <td>139.9</td>\n",
              "      <td>370.180000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>55.960000</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>192.200000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>191.826893</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.465055</td>\n",
              "      <td>29</td>\n",
              "      <td>124.600000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>11.600000</td>\n",
              "      <td>10296.5000</td>\n",
              "      <td>9260.600000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9170.377777</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.572700</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>4451.400000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>81.120000</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>79.871364</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.397810</td>\n",
              "      <td>32.40</td>\n",
              "      <td>59.040</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>12.960000</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>24.780000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>24.380978</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.395385</td>\n",
              "      <td>10.100</td>\n",
              "      <td>18.100000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.040000</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>57.400000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>57.038314</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.559446</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>6.800000</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.781762</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.450561</td>\n",
              "      <td>1</td>\n",
              "      <td>3.200000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>97.095602</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>96.901083</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.640883</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>31.115202</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>6.249958</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>706.969000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>704.143255</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.648876</td>\n",
              "      <td>139.9</td>\n",
              "      <td>208.799000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>64.702805</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>189.010000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>188.514109</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.590271</td>\n",
              "      <td>29</td>\n",
              "      <td>84.230000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>13.412304</td>\n",
              "      <td>10296.5000</td>\n",
              "      <td>9640.430000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9518.329826</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.667210</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>2186.170000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>77.556000</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>75.915236</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.527718</td>\n",
              "      <td>32.40</td>\n",
              "      <td>43.332</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>14.984781</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>23.669000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>23.144890</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.525289</td>\n",
              "      <td>10.100</td>\n",
              "      <td>13.315000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.671182</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>59.270000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>58.781651</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.659671</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>15.250000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>7.862385</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.690000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.665819</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.577601</td>\n",
              "      <td>1</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.462493</td>\n",
              "      <td>1.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>3</td>\n",
              "      <td>87.468333</td>\n",
              "      <td>86.858500</td>\n",
              "      <td>82.555758</td>\n",
              "      <td>80.458722</td>\n",
              "      <td>1.041270</td>\n",
              "      <td>0.895229</td>\n",
              "      <td>71.75500</td>\n",
              "      <td>43.144000</td>\n",
              "      <td>29.905282</td>\n",
              "      <td>33.927941</td>\n",
              "      <td>856.166667</td>\n",
              "      <td>821.190000</td>\n",
              "      <td>852.858789</td>\n",
              "      <td>818.631908</td>\n",
              "      <td>1.094784</td>\n",
              "      <td>0.968771</td>\n",
              "      <td>181.3</td>\n",
              "      <td>285.510000</td>\n",
              "      <td>74.569624</td>\n",
              "      <td>65.291691</td>\n",
              "      <td>127.333333</td>\n",
              "      <td>137.500000</td>\n",
              "      <td>125.493812</td>\n",
              "      <td>136.084313</td>\n",
              "      <td>1.084025</td>\n",
              "      <td>0.883461</td>\n",
              "      <td>53</td>\n",
              "      <td>67.700000</td>\n",
              "      <td>21.853045</td>\n",
              "      <td>19.345542</td>\n",
              "      <td>6311.0000</td>\n",
              "      <td>6914.900000</td>\n",
              "      <td>6186.508901</td>\n",
              "      <td>6830.731801</td>\n",
              "      <td>1.078970</td>\n",
              "      <td>0.874139</td>\n",
              "      <td>3055.000</td>\n",
              "      <td>3455.100000</td>\n",
              "      <td>1248.208583</td>\n",
              "      <td>...</td>\n",
              "      <td>104.930000</td>\n",
              "      <td>86.530864</td>\n",
              "      <td>57.563783</td>\n",
              "      <td>0.839248</td>\n",
              "      <td>0.747947</td>\n",
              "      <td>179.30</td>\n",
              "      <td>68.080</td>\n",
              "      <td>83.414480</td>\n",
              "      <td>87.740504</td>\n",
              "      <td>12.233333</td>\n",
              "      <td>14.440000</td>\n",
              "      <td>10.925390</td>\n",
              "      <td>13.816376</td>\n",
              "      <td>1.002899</td>\n",
              "      <td>0.826780</td>\n",
              "      <td>12.100</td>\n",
              "      <td>6.460000</td>\n",
              "      <td>5.062498</td>\n",
              "      <td>3.481724</td>\n",
              "      <td>27.506667</td>\n",
              "      <td>40.752000</td>\n",
              "      <td>4.976422</td>\n",
              "      <td>12.919996</td>\n",
              "      <td>0.194158</td>\n",
              "      <td>0.142553</td>\n",
              "      <td>78.48000</td>\n",
              "      <td>39.448000</td>\n",
              "      <td>36.425359</td>\n",
              "      <td>38.254432</td>\n",
              "      <td>5.00</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4.762203</td>\n",
              "      <td>4.242641</td>\n",
              "      <td>1.054920</td>\n",
              "      <td>0.970116</td>\n",
              "      <td>3</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>1.414214</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>12.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 82 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       number_of_elements  mean_atomic_mass  ...  wtd_std_Valence  critical_temp\n",
              "21258                   4        106.957877  ...         0.496904           2.44\n",
              "21259                   5         92.266740  ...         0.212959         122.10\n",
              "21260                   2         99.663190  ...         0.400000           1.98\n",
              "21261                   2         99.663190  ...         0.462493           1.84\n",
              "21262                   3         87.468333  ...         1.500000          12.80\n",
              "\n",
              "[5 rows x 82 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jlj4Mv65FE87"
      },
      "source": [
        "<font size=4> Podemos renombrar una columna en particular utilzando el atributo **.rename()**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "73oyuAA9FE87",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "outputId": "2159fb45-296a-49fc-db56-16fba84182d0"
      },
      "source": [
        "df.rename(columns = {\"number_of_elements\":\"numero_de_elementos\"}, inplace = True)  #Cambiamos el nombre de la columna \"number_of_elements\" \n",
        "                                                                                    #por \"numero_de_elementos\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numero_de_elementos</th>\n",
              "      <th>mean_atomic_mass</th>\n",
              "      <th>wtd_mean_atomic_mass</th>\n",
              "      <th>gmean_atomic_mass</th>\n",
              "      <th>wtd_gmean_atomic_mass</th>\n",
              "      <th>entropy_atomic_mass</th>\n",
              "      <th>wtd_entropy_atomic_mass</th>\n",
              "      <th>range_atomic_mass</th>\n",
              "      <th>wtd_range_atomic_mass</th>\n",
              "      <th>std_atomic_mass</th>\n",
              "      <th>wtd_std_atomic_mass</th>\n",
              "      <th>mean_fie</th>\n",
              "      <th>wtd_mean_fie</th>\n",
              "      <th>gmean_fie</th>\n",
              "      <th>wtd_gmean_fie</th>\n",
              "      <th>entropy_fie</th>\n",
              "      <th>wtd_entropy_fie</th>\n",
              "      <th>range_fie</th>\n",
              "      <th>wtd_range_fie</th>\n",
              "      <th>std_fie</th>\n",
              "      <th>wtd_std_fie</th>\n",
              "      <th>mean_atomic_radius</th>\n",
              "      <th>wtd_mean_atomic_radius</th>\n",
              "      <th>gmean_atomic_radius</th>\n",
              "      <th>wtd_gmean_atomic_radius</th>\n",
              "      <th>entropy_atomic_radius</th>\n",
              "      <th>wtd_entropy_atomic_radius</th>\n",
              "      <th>range_atomic_radius</th>\n",
              "      <th>wtd_range_atomic_radius</th>\n",
              "      <th>std_atomic_radius</th>\n",
              "      <th>wtd_std_atomic_radius</th>\n",
              "      <th>mean_Density</th>\n",
              "      <th>wtd_mean_Density</th>\n",
              "      <th>gmean_Density</th>\n",
              "      <th>wtd_gmean_Density</th>\n",
              "      <th>entropy_Density</th>\n",
              "      <th>wtd_entropy_Density</th>\n",
              "      <th>range_Density</th>\n",
              "      <th>wtd_range_Density</th>\n",
              "      <th>std_Density</th>\n",
              "      <th>...</th>\n",
              "      <th>wtd_mean_ElectronAffinity</th>\n",
              "      <th>gmean_ElectronAffinity</th>\n",
              "      <th>wtd_gmean_ElectronAffinity</th>\n",
              "      <th>entropy_ElectronAffinity</th>\n",
              "      <th>wtd_entropy_ElectronAffinity</th>\n",
              "      <th>range_ElectronAffinity</th>\n",
              "      <th>wtd_range_ElectronAffinity</th>\n",
              "      <th>std_ElectronAffinity</th>\n",
              "      <th>wtd_std_ElectronAffinity</th>\n",
              "      <th>mean_FusionHeat</th>\n",
              "      <th>wtd_mean_FusionHeat</th>\n",
              "      <th>gmean_FusionHeat</th>\n",
              "      <th>wtd_gmean_FusionHeat</th>\n",
              "      <th>entropy_FusionHeat</th>\n",
              "      <th>wtd_entropy_FusionHeat</th>\n",
              "      <th>range_FusionHeat</th>\n",
              "      <th>wtd_range_FusionHeat</th>\n",
              "      <th>std_FusionHeat</th>\n",
              "      <th>wtd_std_FusionHeat</th>\n",
              "      <th>mean_ThermalConductivity</th>\n",
              "      <th>wtd_mean_ThermalConductivity</th>\n",
              "      <th>gmean_ThermalConductivity</th>\n",
              "      <th>wtd_gmean_ThermalConductivity</th>\n",
              "      <th>entropy_ThermalConductivity</th>\n",
              "      <th>wtd_entropy_ThermalConductivity</th>\n",
              "      <th>range_ThermalConductivity</th>\n",
              "      <th>wtd_range_ThermalConductivity</th>\n",
              "      <th>std_ThermalConductivity</th>\n",
              "      <th>wtd_std_ThermalConductivity</th>\n",
              "      <th>mean_Valence</th>\n",
              "      <th>wtd_mean_Valence</th>\n",
              "      <th>gmean_Valence</th>\n",
              "      <th>wtd_gmean_Valence</th>\n",
              "      <th>entropy_Valence</th>\n",
              "      <th>wtd_entropy_Valence</th>\n",
              "      <th>range_Valence</th>\n",
              "      <th>wtd_range_Valence</th>\n",
              "      <th>std_Valence</th>\n",
              "      <th>wtd_std_Valence</th>\n",
              "      <th>critical_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.862692</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.116612</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.062396</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>31.794921</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.622535</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.268571</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.016780</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.791488</td>\n",
              "      <td>810.6</td>\n",
              "      <td>735.985714</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.562967</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>105.514286</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.528423</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.207040</td>\n",
              "      <td>205</td>\n",
              "      <td>42.914286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>69.235569</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2961.502286</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.543811</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.814598</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1579.583429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.727143</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>99.414682</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787382</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.987143</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.558396</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.846857</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.040986</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.994998</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.666920</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.015189</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.621979</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.262848</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.517163</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.219783</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.066221</td>\n",
              "      <td>1</td>\n",
              "      <td>1.085714</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.437059</td>\n",
              "      <td>29.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>92.729214</td>\n",
              "      <td>58.518416</td>\n",
              "      <td>73.132787</td>\n",
              "      <td>36.396602</td>\n",
              "      <td>1.449309</td>\n",
              "      <td>1.057755</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>36.161939</td>\n",
              "      <td>47.094633</td>\n",
              "      <td>53.979870</td>\n",
              "      <td>766.440000</td>\n",
              "      <td>1010.612857</td>\n",
              "      <td>720.605511</td>\n",
              "      <td>938.745413</td>\n",
              "      <td>1.544145</td>\n",
              "      <td>0.807078</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>290.183029</td>\n",
              "      <td>354.963511</td>\n",
              "      <td>161.200000</td>\n",
              "      <td>104.971429</td>\n",
              "      <td>141.465215</td>\n",
              "      <td>84.370167</td>\n",
              "      <td>1.508328</td>\n",
              "      <td>1.204115</td>\n",
              "      <td>205</td>\n",
              "      <td>50.571429</td>\n",
              "      <td>67.321319</td>\n",
              "      <td>68.008817</td>\n",
              "      <td>5821.48580</td>\n",
              "      <td>3021.016571</td>\n",
              "      <td>1237.095080</td>\n",
              "      <td>54.095718</td>\n",
              "      <td>1.314442</td>\n",
              "      <td>0.914802</td>\n",
              "      <td>10488.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3767.403176</td>\n",
              "      <td>...</td>\n",
              "      <td>112.316429</td>\n",
              "      <td>69.833315</td>\n",
              "      <td>101.166398</td>\n",
              "      <td>1.427997</td>\n",
              "      <td>0.838666</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>49.438167</td>\n",
              "      <td>41.667621</td>\n",
              "      <td>7.784400</td>\n",
              "      <td>3.796857</td>\n",
              "      <td>4.403790</td>\n",
              "      <td>1.035251</td>\n",
              "      <td>1.374977</td>\n",
              "      <td>1.073094</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.595714</td>\n",
              "      <td>4.473363</td>\n",
              "      <td>4.603000</td>\n",
              "      <td>172.205316</td>\n",
              "      <td>61.372331</td>\n",
              "      <td>16.064228</td>\n",
              "      <td>0.619735</td>\n",
              "      <td>0.847404</td>\n",
              "      <td>0.567706</td>\n",
              "      <td>429.97342</td>\n",
              "      <td>51.413383</td>\n",
              "      <td>198.554600</td>\n",
              "      <td>139.630922</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>1.888175</td>\n",
              "      <td>2.210679</td>\n",
              "      <td>1.557113</td>\n",
              "      <td>1.047221</td>\n",
              "      <td>2</td>\n",
              "      <td>1.128571</td>\n",
              "      <td>0.632456</td>\n",
              "      <td>0.468606</td>\n",
              "      <td>26.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.885242</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.122509</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>0.975980</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>35.741099</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.656268</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.820000</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>939.009036</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.773620</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>354.804183</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>104.685714</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.214573</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.132547</td>\n",
              "      <td>205</td>\n",
              "      <td>49.314286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>67.797712</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2999.159429</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.974022</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.760305</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>112.213571</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>101.082152</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786007</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>41.639878</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.822571</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.037439</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.927479</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.757143</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.649635</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.943760</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.619095</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.250477</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.540613</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.271429</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.232679</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.029175</td>\n",
              "      <td>1</td>\n",
              "      <td>1.114286</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.444697</td>\n",
              "      <td>19.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.873967</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.119560</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.022291</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>33.768010</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.639405</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.544286</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.512777</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.783207</td>\n",
              "      <td>810.6</td>\n",
              "      <td>739.575000</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.183884</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>105.100000</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.371352</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.173033</td>\n",
              "      <td>205</td>\n",
              "      <td>46.114286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>68.521665</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2980.330857</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.758486</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.788889</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1623.483429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.970357</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>100.244950</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786900</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.097500</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.102344</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.834714</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.039211</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.964031</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.658301</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.979474</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.620535</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.257045</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.528893</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.264286</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.226222</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.048834</td>\n",
              "      <td>1</td>\n",
              "      <td>1.100000</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.440952</td>\n",
              "      <td>22.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.840143</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.110716</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.129224</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>27.848743</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.588771</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1009.717143</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>937.025573</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.805230</td>\n",
              "      <td>810.6</td>\n",
              "      <td>728.807143</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>356.319281</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>106.342857</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.843442</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.261194</td>\n",
              "      <td>205</td>\n",
              "      <td>36.514286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>70.634448</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2923.845143</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.117029</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.859811</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1491.783429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>111.240714</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>97.774719</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787396</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.766429</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>43.452059</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.871143</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.044545</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>1.044970</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.684014</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.086617</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.624878</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.272820</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.493671</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.242857</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.206963</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.096052</td>\n",
              "      <td>1</td>\n",
              "      <td>1.057143</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.428809</td>\n",
              "      <td>23.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21258</th>\n",
              "      <td>4</td>\n",
              "      <td>106.957877</td>\n",
              "      <td>53.095769</td>\n",
              "      <td>82.515384</td>\n",
              "      <td>43.135565</td>\n",
              "      <td>1.177145</td>\n",
              "      <td>1.254119</td>\n",
              "      <td>146.88130</td>\n",
              "      <td>15.504479</td>\n",
              "      <td>65.764081</td>\n",
              "      <td>43.202659</td>\n",
              "      <td>661.775000</td>\n",
              "      <td>753.793333</td>\n",
              "      <td>651.611213</td>\n",
              "      <td>750.570867</td>\n",
              "      <td>1.371139</td>\n",
              "      <td>0.927050</td>\n",
              "      <td>273.0</td>\n",
              "      <td>427.546667</td>\n",
              "      <td>114.383355</td>\n",
              "      <td>64.428777</td>\n",
              "      <td>176.500000</td>\n",
              "      <td>138.244444</td>\n",
              "      <td>169.947614</td>\n",
              "      <td>134.233861</td>\n",
              "      <td>1.350879</td>\n",
              "      <td>1.112222</td>\n",
              "      <td>111</td>\n",
              "      <td>57.808889</td>\n",
              "      <td>45.883003</td>\n",
              "      <td>35.811330</td>\n",
              "      <td>7341.25000</td>\n",
              "      <td>4963.928889</td>\n",
              "      <td>6404.741690</td>\n",
              "      <td>4082.735787</td>\n",
              "      <td>1.284617</td>\n",
              "      <td>1.110551</td>\n",
              "      <td>7511.000</td>\n",
              "      <td>2449.715556</td>\n",
              "      <td>2981.637585</td>\n",
              "      <td>...</td>\n",
              "      <td>86.511111</td>\n",
              "      <td>49.825259</td>\n",
              "      <td>61.057784</td>\n",
              "      <td>1.164382</td>\n",
              "      <td>0.511822</td>\n",
              "      <td>117.90</td>\n",
              "      <td>74.140000</td>\n",
              "      <td>43.467883</td>\n",
              "      <td>55.219027</td>\n",
              "      <td>25.700000</td>\n",
              "      <td>34.448000</td>\n",
              "      <td>22.494622</td>\n",
              "      <td>29.041737</td>\n",
              "      <td>1.245563</td>\n",
              "      <td>0.631341</td>\n",
              "      <td>36.400</td>\n",
              "      <td>27.497778</td>\n",
              "      <td>14.446107</td>\n",
              "      <td>17.657417</td>\n",
              "      <td>65.500000</td>\n",
              "      <td>111.537778</td>\n",
              "      <td>42.371302</td>\n",
              "      <td>95.001493</td>\n",
              "      <td>1.029002</td>\n",
              "      <td>0.634332</td>\n",
              "      <td>134.00000</td>\n",
              "      <td>83.048889</td>\n",
              "      <td>55.056789</td>\n",
              "      <td>46.595943</td>\n",
              "      <td>3.25</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>3.223710</td>\n",
              "      <td>3.519911</td>\n",
              "      <td>1.377820</td>\n",
              "      <td>0.913658</td>\n",
              "      <td>1</td>\n",
              "      <td>2.168889</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.496904</td>\n",
              "      <td>2.44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21259</th>\n",
              "      <td>5</td>\n",
              "      <td>92.266740</td>\n",
              "      <td>49.021367</td>\n",
              "      <td>64.812662</td>\n",
              "      <td>32.867748</td>\n",
              "      <td>1.323287</td>\n",
              "      <td>1.571630</td>\n",
              "      <td>188.38390</td>\n",
              "      <td>7.353333</td>\n",
              "      <td>69.232655</td>\n",
              "      <td>50.148287</td>\n",
              "      <td>747.780000</td>\n",
              "      <td>989.819048</td>\n",
              "      <td>702.115184</td>\n",
              "      <td>923.426093</td>\n",
              "      <td>1.541006</td>\n",
              "      <td>0.988470</td>\n",
              "      <td>810.6</td>\n",
              "      <td>659.771429</td>\n",
              "      <td>293.286136</td>\n",
              "      <td>345.450969</td>\n",
              "      <td>159.200000</td>\n",
              "      <td>112.000000</td>\n",
              "      <td>139.743372</td>\n",
              "      <td>89.633687</td>\n",
              "      <td>1.507321</td>\n",
              "      <td>1.536691</td>\n",
              "      <td>205</td>\n",
              "      <td>20.285714</td>\n",
              "      <td>67.211309</td>\n",
              "      <td>72.795212</td>\n",
              "      <td>5174.28580</td>\n",
              "      <td>2827.415190</td>\n",
              "      <td>962.364248</td>\n",
              "      <td>66.286408</td>\n",
              "      <td>1.165065</td>\n",
              "      <td>1.080432</td>\n",
              "      <td>11848.571</td>\n",
              "      <td>1705.918143</td>\n",
              "      <td>4506.895480</td>\n",
              "      <td>...</td>\n",
              "      <td>100.490952</td>\n",
              "      <td>29.177546</td>\n",
              "      <td>60.814837</td>\n",
              "      <td>1.112639</td>\n",
              "      <td>0.693424</td>\n",
              "      <td>138.63</td>\n",
              "      <td>74.090000</td>\n",
              "      <td>58.434336</td>\n",
              "      <td>57.634544</td>\n",
              "      <td>6.812400</td>\n",
              "      <td>4.793429</td>\n",
              "      <td>3.839585</td>\n",
              "      <td>1.315769</td>\n",
              "      <td>1.345508</td>\n",
              "      <td>1.203223</td>\n",
              "      <td>12.878</td>\n",
              "      <td>2.378952</td>\n",
              "      <td>4.340205</td>\n",
              "      <td>5.204855</td>\n",
              "      <td>132.805316</td>\n",
              "      <td>108.680590</td>\n",
              "      <td>17.747413</td>\n",
              "      <td>1.577047</td>\n",
              "      <td>0.949904</td>\n",
              "      <td>0.745515</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>76.176553</td>\n",
              "      <td>151.164639</td>\n",
              "      <td>156.558695</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2.047619</td>\n",
              "      <td>2.168944</td>\n",
              "      <td>2.038991</td>\n",
              "      <td>1.594167</td>\n",
              "      <td>1.337246</td>\n",
              "      <td>1</td>\n",
              "      <td>0.904762</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.212959</td>\n",
              "      <td>122.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>95.609104</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>95.464320</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.530198</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>53.041104</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>5.405448</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>691.580000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>689.480961</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.542120</td>\n",
              "      <td>139.9</td>\n",
              "      <td>370.180000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>55.960000</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>192.200000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>191.826893</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.465055</td>\n",
              "      <td>29</td>\n",
              "      <td>124.600000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>11.600000</td>\n",
              "      <td>10296.50000</td>\n",
              "      <td>9260.600000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9170.377777</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.572700</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>4451.400000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>81.120000</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>79.871364</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.397810</td>\n",
              "      <td>32.40</td>\n",
              "      <td>59.040000</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>12.960000</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>24.780000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>24.380978</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.395385</td>\n",
              "      <td>10.100</td>\n",
              "      <td>18.100000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.040000</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>57.400000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>57.038314</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.559446</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>6.800000</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.781762</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.450561</td>\n",
              "      <td>1</td>\n",
              "      <td>3.200000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>97.095602</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>96.901083</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.640883</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>31.115202</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>6.249958</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>706.969000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>704.143255</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.648876</td>\n",
              "      <td>139.9</td>\n",
              "      <td>208.799000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>64.702805</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>189.010000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>188.514109</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.590271</td>\n",
              "      <td>29</td>\n",
              "      <td>84.230000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>13.412304</td>\n",
              "      <td>10296.50000</td>\n",
              "      <td>9640.430000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9518.329826</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.667210</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>2186.170000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>77.556000</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>75.915236</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.527718</td>\n",
              "      <td>32.40</td>\n",
              "      <td>43.332000</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>14.984781</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>23.669000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>23.144890</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.525289</td>\n",
              "      <td>10.100</td>\n",
              "      <td>13.315000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.671182</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>59.270000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>58.781651</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.659671</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>15.250000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>7.862385</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.690000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.665819</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.577601</td>\n",
              "      <td>1</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.462493</td>\n",
              "      <td>1.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>3</td>\n",
              "      <td>87.468333</td>\n",
              "      <td>86.858500</td>\n",
              "      <td>82.555758</td>\n",
              "      <td>80.458722</td>\n",
              "      <td>1.041270</td>\n",
              "      <td>0.895229</td>\n",
              "      <td>71.75500</td>\n",
              "      <td>43.144000</td>\n",
              "      <td>29.905282</td>\n",
              "      <td>33.927941</td>\n",
              "      <td>856.166667</td>\n",
              "      <td>821.190000</td>\n",
              "      <td>852.858789</td>\n",
              "      <td>818.631908</td>\n",
              "      <td>1.094784</td>\n",
              "      <td>0.968771</td>\n",
              "      <td>181.3</td>\n",
              "      <td>285.510000</td>\n",
              "      <td>74.569624</td>\n",
              "      <td>65.291691</td>\n",
              "      <td>127.333333</td>\n",
              "      <td>137.500000</td>\n",
              "      <td>125.493812</td>\n",
              "      <td>136.084313</td>\n",
              "      <td>1.084025</td>\n",
              "      <td>0.883461</td>\n",
              "      <td>53</td>\n",
              "      <td>67.700000</td>\n",
              "      <td>21.853045</td>\n",
              "      <td>19.345542</td>\n",
              "      <td>6311.00000</td>\n",
              "      <td>6914.900000</td>\n",
              "      <td>6186.508901</td>\n",
              "      <td>6830.731801</td>\n",
              "      <td>1.078970</td>\n",
              "      <td>0.874139</td>\n",
              "      <td>3055.000</td>\n",
              "      <td>3455.100000</td>\n",
              "      <td>1248.208583</td>\n",
              "      <td>...</td>\n",
              "      <td>104.930000</td>\n",
              "      <td>86.530864</td>\n",
              "      <td>57.563783</td>\n",
              "      <td>0.839248</td>\n",
              "      <td>0.747947</td>\n",
              "      <td>179.30</td>\n",
              "      <td>68.080000</td>\n",
              "      <td>83.414480</td>\n",
              "      <td>87.740504</td>\n",
              "      <td>12.233333</td>\n",
              "      <td>14.440000</td>\n",
              "      <td>10.925390</td>\n",
              "      <td>13.816376</td>\n",
              "      <td>1.002899</td>\n",
              "      <td>0.826780</td>\n",
              "      <td>12.100</td>\n",
              "      <td>6.460000</td>\n",
              "      <td>5.062498</td>\n",
              "      <td>3.481724</td>\n",
              "      <td>27.506667</td>\n",
              "      <td>40.752000</td>\n",
              "      <td>4.976422</td>\n",
              "      <td>12.919996</td>\n",
              "      <td>0.194158</td>\n",
              "      <td>0.142553</td>\n",
              "      <td>78.48000</td>\n",
              "      <td>39.448000</td>\n",
              "      <td>36.425359</td>\n",
              "      <td>38.254432</td>\n",
              "      <td>5.00</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4.762203</td>\n",
              "      <td>4.242641</td>\n",
              "      <td>1.054920</td>\n",
              "      <td>0.970116</td>\n",
              "      <td>3</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>1.414214</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>12.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21263 rows × 82 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       numero_de_elementos  mean_atomic_mass  ...  wtd_std_Valence  critical_temp\n",
              "0                        4         88.944468  ...         0.437059          29.00\n",
              "1                        5         92.729214  ...         0.468606          26.00\n",
              "2                        4         88.944468  ...         0.444697          19.00\n",
              "3                        4         88.944468  ...         0.440952          22.00\n",
              "4                        4         88.944468  ...         0.428809          23.00\n",
              "...                    ...               ...  ...              ...            ...\n",
              "21258                    4        106.957877  ...         0.496904           2.44\n",
              "21259                    5         92.266740  ...         0.212959         122.10\n",
              "21260                    2         99.663190  ...         0.400000           1.98\n",
              "21261                    2         99.663190  ...         0.462493           1.84\n",
              "21262                    3         87.468333  ...         1.500000          12.80\n",
              "\n",
              "[21263 rows x 82 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "id": "x-x7qYOMXJS4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UuqX0wLKFE87"
      },
      "source": [
        "<font size=4> Podemos acceder a información de las columnas del dataframe mediante el atributo **df.column_name** o mediante la instrucción **df['column_name']**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XHG9DCvLFE87"
      },
      "source": [
        "#Utilizamos cada uno de los comandos:\n",
        "\n",
        "df.numero_de_elementos"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b7jCrKEbFE88"
      },
      "source": [
        "df[\"numero_de_elementos\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t4nkfdCpFE88"
      },
      "source": [
        "<font size=4> Podemos extraer información de un renglón específico del $DataFrame$  (index) mediante **series** con el atributo **.loc[ ]**:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z00flCUGFE88",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "54d61253-f96d-4f1a-ea4f-94916f1b3d3d"
      },
      "source": [
        "df.loc[524]  #Utilizamos el atributo .loc()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numero_de_elementos       4.000000\n",
              "mean_atomic_mass         96.032850\n",
              "wtd_mean_atomic_mass     58.347829\n",
              "gmean_atomic_mass        69.515930\n",
              "wtd_gmean_atomic_mass    37.476574\n",
              "                           ...    \n",
              "range_Valence             1.000000\n",
              "wtd_range_Valence         0.816101\n",
              "std_Valence               0.433013\n",
              "wtd_std_Valence           0.269624\n",
              "critical_temp            85.000000\n",
              "Name: 524, Length: 82, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "24D2pwa3FE88"
      },
      "source": [
        "<font size=4> Se puede acceder a información en particular utilizando los métodos previos, si por ejemplo queremos obtener la temperatura crítica del superconductor 524:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JqzhKDlmFE88"
      },
      "source": [
        "df['critical_temp'][524]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mxkEJ8ODFE89"
      },
      "source": [
        "<font size=4> En pandas se utilizan también los **operadores de acceso** como el atributo **.iloc[]** que basa su operación en la enumeración de renglones y columnas de Python"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f09RhsugFE89"
      },
      "source": [
        "<font size=4> Si por ejemplo buscamos la información del superconductor **i-ésimo**, entonces utilizamos **df.iloc[ i ]** el cual obtiene la información del renglón **i-esimo**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ouoAgJeNFE89"
      },
      "source": [
        "df.iloc[524]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EjJdfKwEFE89"
      },
      "source": [
        "<font size=4> Si queremos obtener el numero de elementos (columna 0) de todos los superconductores:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_6OyYK-ZFE89"
      },
      "source": [
        "df.iloc[:, 0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RP3b8CFKFE8-"
      },
      "source": [
        "<font size=4> Si queremos obtener el número de elementos y su temperatura crítica de los superconductores 0 y 524:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9DSgwmuUFE8-"
      },
      "source": [
        "df.iloc[ [0,524],  [0,81] ]"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VEqwoztHFE8-"
      },
      "source": [
        "<font size=4> Como se puede observar, el atributo **.iloc[]** utiliza el índice o posición del superconductor (los renglones en este caso) o las columnas para operar. De distinta manera, **.loc[]** basa su operación en el nombre del índice de los datos, no en su posición o enumeración de Python:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KI9Y53HeFE8-"
      },
      "source": [
        "<font size=4> Si queremos obtener el numero de elementos en el superconductor 524:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7lmfh2TeFE8_"
      },
      "source": [
        "df.loc[524, 'numero_de_elementos']"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UVxcSHrdFE8_"
      },
      "source": [
        "<font size=4> Si quieremos obtener el numero de elementos de los superconductores 524 y 342 por ejemplo:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tmj-CUlIFE8_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a50347ad-cd15-4d94-ebf9-7b961ad321e1"
      },
      "source": [
        "df.loc[[524, 342], 'numero_de_elementos']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "524    4\n",
              "342    4\n",
              "Name: numero_de_elementos, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tFG0WjC2FE8_"
      },
      "source": [
        "<font size=4> Si quieremos obtener el numero de elementos (columna 0) y temperatura crítica (columna 85) de cada uno de los superconductores:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r41aajbGFE8_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "3a97cb6e-5022-4520-81c9-ced398eac297"
      },
      "source": [
        "df.loc[:, ['numero_de_elementos', \"critical_temp\"]]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numero_de_elementos</th>\n",
              "      <th>critical_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>29.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>26.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>19.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>22.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>23.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21258</th>\n",
              "      <td>4</td>\n",
              "      <td>2.44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21259</th>\n",
              "      <td>5</td>\n",
              "      <td>122.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>2</td>\n",
              "      <td>1.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>2</td>\n",
              "      <td>1.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>3</td>\n",
              "      <td>12.80</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21263 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       numero_de_elementos  critical_temp\n",
              "0                        4          29.00\n",
              "1                        5          26.00\n",
              "2                        4          19.00\n",
              "3                        4          22.00\n",
              "4                        4          23.00\n",
              "...                    ...            ...\n",
              "21258                    4           2.44\n",
              "21259                    5         122.10\n",
              "21260                    2           1.98\n",
              "21261                    2           1.84\n",
              "21262                    3          12.80\n",
              "\n",
              "[21263 rows x 2 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cc8rd6xbFE8_"
      },
      "source": [
        "<font size=4> Pandas también puede utilizar **operadores lógicos** como **==**, **<** y **>**."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E6XvZM2GFE9A"
      },
      "source": [
        "<font size=4> Si queremos obtener los superconductores con temperatura crítica iguala 85 K hacemos lo siguiente:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MwYTBIKVFE9A"
      },
      "source": [
        "df.loc[df.critical_temp == 85]"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vFs8WxeGFE9C"
      },
      "source": [
        "<font size=4> Si queremos obtener los superconductores con temperatura crítica menor a 85 K hacemos lo siguiente:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aYw9Az6bFE9C"
      },
      "source": [
        "df.loc[df.critical_temp < 85]"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DK8mrc5vFE9C"
      },
      "source": [
        "<font size=4> Si queremos los superconductores con temperatura crítica de 83 o de 85 K"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I-i-mphVFE9C"
      },
      "source": [
        "df.loc[df.critical_temp.isin( [83, 85] )]"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7k0zbyprFE9D"
      },
      "source": [
        "<font size=4> Si queremos identificar todas las posiciones en el dataframe que tienen un valor vacío o **\"NaN\"**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n8FCWAoeFE9D",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3394215a-35b8-4611-c52f-a9e37e717780"
      },
      "source": [
        "#df.loc[df.critical_temp.isnull()].shape\n",
        "df.loc[df.critical_temp.notnull()].shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(21263, 82)"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7xW1qF-3FE9D"
      },
      "source": [
        "<font size=4> Pandas también puede calcular promedios, desviación estándar, etc. y otras funciones útiles, por ejemplo:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CCF4R9_KFE9D"
      },
      "source": [
        "<font size=4> El atributo **.describe()** nos da la siguiente información de cada una de las columnas del dataframe:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QrGKVtnCFE9D",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "outputId": "722d1b6e-011a-4a5d-aca4-5d4701af116b"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numero_de_elementos</th>\n",
              "      <th>mean_atomic_mass</th>\n",
              "      <th>wtd_mean_atomic_mass</th>\n",
              "      <th>gmean_atomic_mass</th>\n",
              "      <th>wtd_gmean_atomic_mass</th>\n",
              "      <th>entropy_atomic_mass</th>\n",
              "      <th>wtd_entropy_atomic_mass</th>\n",
              "      <th>range_atomic_mass</th>\n",
              "      <th>wtd_range_atomic_mass</th>\n",
              "      <th>std_atomic_mass</th>\n",
              "      <th>wtd_std_atomic_mass</th>\n",
              "      <th>mean_fie</th>\n",
              "      <th>wtd_mean_fie</th>\n",
              "      <th>gmean_fie</th>\n",
              "      <th>wtd_gmean_fie</th>\n",
              "      <th>entropy_fie</th>\n",
              "      <th>wtd_entropy_fie</th>\n",
              "      <th>range_fie</th>\n",
              "      <th>wtd_range_fie</th>\n",
              "      <th>std_fie</th>\n",
              "      <th>wtd_std_fie</th>\n",
              "      <th>mean_atomic_radius</th>\n",
              "      <th>wtd_mean_atomic_radius</th>\n",
              "      <th>gmean_atomic_radius</th>\n",
              "      <th>wtd_gmean_atomic_radius</th>\n",
              "      <th>entropy_atomic_radius</th>\n",
              "      <th>wtd_entropy_atomic_radius</th>\n",
              "      <th>range_atomic_radius</th>\n",
              "      <th>wtd_range_atomic_radius</th>\n",
              "      <th>std_atomic_radius</th>\n",
              "      <th>wtd_std_atomic_radius</th>\n",
              "      <th>mean_Density</th>\n",
              "      <th>wtd_mean_Density</th>\n",
              "      <th>gmean_Density</th>\n",
              "      <th>wtd_gmean_Density</th>\n",
              "      <th>entropy_Density</th>\n",
              "      <th>wtd_entropy_Density</th>\n",
              "      <th>range_Density</th>\n",
              "      <th>wtd_range_Density</th>\n",
              "      <th>std_Density</th>\n",
              "      <th>...</th>\n",
              "      <th>wtd_mean_ElectronAffinity</th>\n",
              "      <th>gmean_ElectronAffinity</th>\n",
              "      <th>wtd_gmean_ElectronAffinity</th>\n",
              "      <th>entropy_ElectronAffinity</th>\n",
              "      <th>wtd_entropy_ElectronAffinity</th>\n",
              "      <th>range_ElectronAffinity</th>\n",
              "      <th>wtd_range_ElectronAffinity</th>\n",
              "      <th>std_ElectronAffinity</th>\n",
              "      <th>wtd_std_ElectronAffinity</th>\n",
              "      <th>mean_FusionHeat</th>\n",
              "      <th>wtd_mean_FusionHeat</th>\n",
              "      <th>gmean_FusionHeat</th>\n",
              "      <th>wtd_gmean_FusionHeat</th>\n",
              "      <th>entropy_FusionHeat</th>\n",
              "      <th>wtd_entropy_FusionHeat</th>\n",
              "      <th>range_FusionHeat</th>\n",
              "      <th>wtd_range_FusionHeat</th>\n",
              "      <th>std_FusionHeat</th>\n",
              "      <th>wtd_std_FusionHeat</th>\n",
              "      <th>mean_ThermalConductivity</th>\n",
              "      <th>wtd_mean_ThermalConductivity</th>\n",
              "      <th>gmean_ThermalConductivity</th>\n",
              "      <th>wtd_gmean_ThermalConductivity</th>\n",
              "      <th>entropy_ThermalConductivity</th>\n",
              "      <th>wtd_entropy_ThermalConductivity</th>\n",
              "      <th>range_ThermalConductivity</th>\n",
              "      <th>wtd_range_ThermalConductivity</th>\n",
              "      <th>std_ThermalConductivity</th>\n",
              "      <th>wtd_std_ThermalConductivity</th>\n",
              "      <th>mean_Valence</th>\n",
              "      <th>wtd_mean_Valence</th>\n",
              "      <th>gmean_Valence</th>\n",
              "      <th>wtd_gmean_Valence</th>\n",
              "      <th>entropy_Valence</th>\n",
              "      <th>wtd_entropy_Valence</th>\n",
              "      <th>range_Valence</th>\n",
              "      <th>wtd_range_Valence</th>\n",
              "      <th>std_Valence</th>\n",
              "      <th>wtd_std_Valence</th>\n",
              "      <th>critical_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "      <td>21263.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.115224</td>\n",
              "      <td>87.557631</td>\n",
              "      <td>72.988310</td>\n",
              "      <td>71.290627</td>\n",
              "      <td>58.539916</td>\n",
              "      <td>1.165608</td>\n",
              "      <td>1.063884</td>\n",
              "      <td>115.601251</td>\n",
              "      <td>33.225218</td>\n",
              "      <td>44.391893</td>\n",
              "      <td>41.448045</td>\n",
              "      <td>769.614748</td>\n",
              "      <td>870.442317</td>\n",
              "      <td>737.474751</td>\n",
              "      <td>832.769649</td>\n",
              "      <td>1.299172</td>\n",
              "      <td>0.926726</td>\n",
              "      <td>572.222612</td>\n",
              "      <td>483.517264</td>\n",
              "      <td>215.631279</td>\n",
              "      <td>224.050033</td>\n",
              "      <td>157.983101</td>\n",
              "      <td>134.720039</td>\n",
              "      <td>144.448738</td>\n",
              "      <td>120.989330</td>\n",
              "      <td>1.267756</td>\n",
              "      <td>1.131138</td>\n",
              "      <td>139.325025</td>\n",
              "      <td>51.369885</td>\n",
              "      <td>51.601267</td>\n",
              "      <td>52.340465</td>\n",
              "      <td>6111.465214</td>\n",
              "      <td>5267.188547</td>\n",
              "      <td>3460.692235</td>\n",
              "      <td>3117.241110</td>\n",
              "      <td>1.072425</td>\n",
              "      <td>0.856037</td>\n",
              "      <td>8665.438818</td>\n",
              "      <td>2902.736814</td>\n",
              "      <td>3416.910784</td>\n",
              "      <td>...</td>\n",
              "      <td>92.717486</td>\n",
              "      <td>54.359502</td>\n",
              "      <td>72.416225</td>\n",
              "      <td>1.070250</td>\n",
              "      <td>0.770757</td>\n",
              "      <td>120.730514</td>\n",
              "      <td>59.332637</td>\n",
              "      <td>48.912207</td>\n",
              "      <td>44.409356</td>\n",
              "      <td>14.296113</td>\n",
              "      <td>13.848001</td>\n",
              "      <td>10.136977</td>\n",
              "      <td>10.141161</td>\n",
              "      <td>1.093343</td>\n",
              "      <td>0.914065</td>\n",
              "      <td>21.138994</td>\n",
              "      <td>8.218528</td>\n",
              "      <td>8.323333</td>\n",
              "      <td>7.717576</td>\n",
              "      <td>89.706911</td>\n",
              "      <td>81.549080</td>\n",
              "      <td>29.841727</td>\n",
              "      <td>27.308061</td>\n",
              "      <td>0.727630</td>\n",
              "      <td>0.539991</td>\n",
              "      <td>250.893443</td>\n",
              "      <td>62.033066</td>\n",
              "      <td>98.943993</td>\n",
              "      <td>96.234051</td>\n",
              "      <td>3.198228</td>\n",
              "      <td>3.153127</td>\n",
              "      <td>3.056536</td>\n",
              "      <td>3.055885</td>\n",
              "      <td>1.295682</td>\n",
              "      <td>1.052841</td>\n",
              "      <td>2.041010</td>\n",
              "      <td>1.483007</td>\n",
              "      <td>0.839342</td>\n",
              "      <td>0.673987</td>\n",
              "      <td>34.421219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.439295</td>\n",
              "      <td>29.676497</td>\n",
              "      <td>33.490406</td>\n",
              "      <td>31.030272</td>\n",
              "      <td>36.651067</td>\n",
              "      <td>0.364930</td>\n",
              "      <td>0.401423</td>\n",
              "      <td>54.626887</td>\n",
              "      <td>26.967752</td>\n",
              "      <td>20.035430</td>\n",
              "      <td>19.983544</td>\n",
              "      <td>87.488694</td>\n",
              "      <td>143.278200</td>\n",
              "      <td>78.327275</td>\n",
              "      <td>119.772520</td>\n",
              "      <td>0.381935</td>\n",
              "      <td>0.334018</td>\n",
              "      <td>309.614442</td>\n",
              "      <td>224.042874</td>\n",
              "      <td>109.966774</td>\n",
              "      <td>127.927104</td>\n",
              "      <td>20.147288</td>\n",
              "      <td>28.801567</td>\n",
              "      <td>22.090958</td>\n",
              "      <td>35.837843</td>\n",
              "      <td>0.375411</td>\n",
              "      <td>0.407159</td>\n",
              "      <td>67.272228</td>\n",
              "      <td>35.019356</td>\n",
              "      <td>22.898396</td>\n",
              "      <td>25.294524</td>\n",
              "      <td>2846.785185</td>\n",
              "      <td>3221.314506</td>\n",
              "      <td>3703.256370</td>\n",
              "      <td>3975.122587</td>\n",
              "      <td>0.342356</td>\n",
              "      <td>0.319761</td>\n",
              "      <td>4097.126831</td>\n",
              "      <td>2398.471020</td>\n",
              "      <td>1673.624915</td>\n",
              "      <td>...</td>\n",
              "      <td>32.276387</td>\n",
              "      <td>29.007425</td>\n",
              "      <td>31.648444</td>\n",
              "      <td>0.343391</td>\n",
              "      <td>0.285986</td>\n",
              "      <td>58.700327</td>\n",
              "      <td>28.620409</td>\n",
              "      <td>21.740521</td>\n",
              "      <td>20.429293</td>\n",
              "      <td>11.300188</td>\n",
              "      <td>14.279335</td>\n",
              "      <td>10.065901</td>\n",
              "      <td>13.134007</td>\n",
              "      <td>0.375932</td>\n",
              "      <td>0.370125</td>\n",
              "      <td>20.370620</td>\n",
              "      <td>11.414066</td>\n",
              "      <td>8.671651</td>\n",
              "      <td>7.288239</td>\n",
              "      <td>38.517485</td>\n",
              "      <td>45.519256</td>\n",
              "      <td>34.059581</td>\n",
              "      <td>40.191150</td>\n",
              "      <td>0.325976</td>\n",
              "      <td>0.318248</td>\n",
              "      <td>158.703557</td>\n",
              "      <td>43.123317</td>\n",
              "      <td>60.143272</td>\n",
              "      <td>63.710355</td>\n",
              "      <td>1.044611</td>\n",
              "      <td>1.191249</td>\n",
              "      <td>1.046257</td>\n",
              "      <td>1.174815</td>\n",
              "      <td>0.393155</td>\n",
              "      <td>0.380291</td>\n",
              "      <td>1.242345</td>\n",
              "      <td>0.978176</td>\n",
              "      <td>0.484676</td>\n",
              "      <td>0.455580</td>\n",
              "      <td>34.254362</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.941000</td>\n",
              "      <td>6.423452</td>\n",
              "      <td>5.320573</td>\n",
              "      <td>1.960849</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>375.500000</td>\n",
              "      <td>375.500000</td>\n",
              "      <td>375.500000</td>\n",
              "      <td>375.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.429000</td>\n",
              "      <td>1.429000</td>\n",
              "      <td>1.429000</td>\n",
              "      <td>0.686245</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.222000</td>\n",
              "      <td>0.222000</td>\n",
              "      <td>0.222000</td>\n",
              "      <td>0.222000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.026580</td>\n",
              "      <td>0.026580</td>\n",
              "      <td>0.026580</td>\n",
              "      <td>0.022952</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000210</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>72.458076</td>\n",
              "      <td>52.143839</td>\n",
              "      <td>58.041225</td>\n",
              "      <td>35.248990</td>\n",
              "      <td>0.966676</td>\n",
              "      <td>0.775363</td>\n",
              "      <td>78.512902</td>\n",
              "      <td>16.824174</td>\n",
              "      <td>32.890369</td>\n",
              "      <td>28.539377</td>\n",
              "      <td>723.740000</td>\n",
              "      <td>738.946339</td>\n",
              "      <td>692.541331</td>\n",
              "      <td>720.108284</td>\n",
              "      <td>1.085871</td>\n",
              "      <td>0.753757</td>\n",
              "      <td>262.400000</td>\n",
              "      <td>291.088889</td>\n",
              "      <td>114.135763</td>\n",
              "      <td>92.994286</td>\n",
              "      <td>149.333333</td>\n",
              "      <td>112.127359</td>\n",
              "      <td>133.542493</td>\n",
              "      <td>89.210097</td>\n",
              "      <td>1.066389</td>\n",
              "      <td>0.852181</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>28.598137</td>\n",
              "      <td>35.112518</td>\n",
              "      <td>32.016958</td>\n",
              "      <td>4513.500000</td>\n",
              "      <td>2999.158291</td>\n",
              "      <td>883.117278</td>\n",
              "      <td>66.746836</td>\n",
              "      <td>0.913959</td>\n",
              "      <td>0.688693</td>\n",
              "      <td>6648.000000</td>\n",
              "      <td>1656.847429</td>\n",
              "      <td>2819.497063</td>\n",
              "      <td>...</td>\n",
              "      <td>73.350000</td>\n",
              "      <td>33.700512</td>\n",
              "      <td>50.772124</td>\n",
              "      <td>0.890589</td>\n",
              "      <td>0.660662</td>\n",
              "      <td>86.700000</td>\n",
              "      <td>34.036000</td>\n",
              "      <td>38.372410</td>\n",
              "      <td>33.440123</td>\n",
              "      <td>7.588667</td>\n",
              "      <td>5.033407</td>\n",
              "      <td>4.109978</td>\n",
              "      <td>1.322127</td>\n",
              "      <td>0.833333</td>\n",
              "      <td>0.672732</td>\n",
              "      <td>12.878000</td>\n",
              "      <td>2.329309</td>\n",
              "      <td>4.261340</td>\n",
              "      <td>4.603491</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>54.180953</td>\n",
              "      <td>8.339818</td>\n",
              "      <td>1.087284</td>\n",
              "      <td>0.457810</td>\n",
              "      <td>0.250677</td>\n",
              "      <td>86.382000</td>\n",
              "      <td>29.349419</td>\n",
              "      <td>37.933172</td>\n",
              "      <td>31.985437</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.116732</td>\n",
              "      <td>2.279705</td>\n",
              "      <td>2.091251</td>\n",
              "      <td>1.060857</td>\n",
              "      <td>0.775678</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.921454</td>\n",
              "      <td>0.451754</td>\n",
              "      <td>0.306892</td>\n",
              "      <td>5.365000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>84.922750</td>\n",
              "      <td>60.696571</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>39.918385</td>\n",
              "      <td>1.199541</td>\n",
              "      <td>1.146783</td>\n",
              "      <td>122.906070</td>\n",
              "      <td>26.636008</td>\n",
              "      <td>45.123500</td>\n",
              "      <td>44.285984</td>\n",
              "      <td>764.900000</td>\n",
              "      <td>889.966667</td>\n",
              "      <td>727.960610</td>\n",
              "      <td>856.202765</td>\n",
              "      <td>1.356236</td>\n",
              "      <td>0.916843</td>\n",
              "      <td>764.100000</td>\n",
              "      <td>510.440000</td>\n",
              "      <td>266.373871</td>\n",
              "      <td>258.449503</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>125.970297</td>\n",
              "      <td>142.807563</td>\n",
              "      <td>113.181369</td>\n",
              "      <td>1.330735</td>\n",
              "      <td>1.242878</td>\n",
              "      <td>171.000000</td>\n",
              "      <td>43.000000</td>\n",
              "      <td>58.663106</td>\n",
              "      <td>59.932929</td>\n",
              "      <td>5329.085800</td>\n",
              "      <td>4303.421500</td>\n",
              "      <td>1339.974702</td>\n",
              "      <td>1515.364631</td>\n",
              "      <td>1.090610</td>\n",
              "      <td>0.882747</td>\n",
              "      <td>8958.571000</td>\n",
              "      <td>2082.956581</td>\n",
              "      <td>3301.890502</td>\n",
              "      <td>...</td>\n",
              "      <td>102.856863</td>\n",
              "      <td>51.470113</td>\n",
              "      <td>73.173958</td>\n",
              "      <td>1.138284</td>\n",
              "      <td>0.781205</td>\n",
              "      <td>127.050000</td>\n",
              "      <td>71.156250</td>\n",
              "      <td>51.125720</td>\n",
              "      <td>48.029866</td>\n",
              "      <td>9.304400</td>\n",
              "      <td>8.330667</td>\n",
              "      <td>5.253498</td>\n",
              "      <td>4.929787</td>\n",
              "      <td>1.112098</td>\n",
              "      <td>0.994998</td>\n",
              "      <td>12.878000</td>\n",
              "      <td>3.436400</td>\n",
              "      <td>4.948155</td>\n",
              "      <td>5.500675</td>\n",
              "      <td>96.504430</td>\n",
              "      <td>73.333333</td>\n",
              "      <td>14.287643</td>\n",
              "      <td>6.096120</td>\n",
              "      <td>0.738694</td>\n",
              "      <td>0.545783</td>\n",
              "      <td>399.795000</td>\n",
              "      <td>56.556240</td>\n",
              "      <td>135.762089</td>\n",
              "      <td>113.556983</td>\n",
              "      <td>2.833333</td>\n",
              "      <td>2.618182</td>\n",
              "      <td>2.615321</td>\n",
              "      <td>2.434057</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.166532</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.063077</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>20.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>5.000000</td>\n",
              "      <td>100.404410</td>\n",
              "      <td>86.103540</td>\n",
              "      <td>78.116681</td>\n",
              "      <td>73.113234</td>\n",
              "      <td>1.444537</td>\n",
              "      <td>1.359418</td>\n",
              "      <td>154.119320</td>\n",
              "      <td>38.356908</td>\n",
              "      <td>59.322812</td>\n",
              "      <td>53.629284</td>\n",
              "      <td>796.320000</td>\n",
              "      <td>1004.117384</td>\n",
              "      <td>765.715174</td>\n",
              "      <td>937.575826</td>\n",
              "      <td>1.551120</td>\n",
              "      <td>1.061750</td>\n",
              "      <td>810.600000</td>\n",
              "      <td>690.703310</td>\n",
              "      <td>297.724924</td>\n",
              "      <td>342.656991</td>\n",
              "      <td>169.857143</td>\n",
              "      <td>158.265231</td>\n",
              "      <td>155.938199</td>\n",
              "      <td>150.988640</td>\n",
              "      <td>1.512348</td>\n",
              "      <td>1.425684</td>\n",
              "      <td>205.000000</td>\n",
              "      <td>60.224491</td>\n",
              "      <td>69.424491</td>\n",
              "      <td>73.777278</td>\n",
              "      <td>6728.000000</td>\n",
              "      <td>6416.333333</td>\n",
              "      <td>5794.965188</td>\n",
              "      <td>5766.015191</td>\n",
              "      <td>1.323930</td>\n",
              "      <td>1.080939</td>\n",
              "      <td>9778.571000</td>\n",
              "      <td>3409.026316</td>\n",
              "      <td>4004.273231</td>\n",
              "      <td>...</td>\n",
              "      <td>110.738462</td>\n",
              "      <td>67.505900</td>\n",
              "      <td>89.975670</td>\n",
              "      <td>1.345894</td>\n",
              "      <td>0.877541</td>\n",
              "      <td>138.630000</td>\n",
              "      <td>76.706965</td>\n",
              "      <td>56.221787</td>\n",
              "      <td>53.320838</td>\n",
              "      <td>17.114444</td>\n",
              "      <td>18.514286</td>\n",
              "      <td>13.600037</td>\n",
              "      <td>16.428652</td>\n",
              "      <td>1.378110</td>\n",
              "      <td>1.157379</td>\n",
              "      <td>23.200000</td>\n",
              "      <td>10.498780</td>\n",
              "      <td>9.041230</td>\n",
              "      <td>8.017581</td>\n",
              "      <td>111.005316</td>\n",
              "      <td>99.062911</td>\n",
              "      <td>42.371302</td>\n",
              "      <td>47.308041</td>\n",
              "      <td>0.962218</td>\n",
              "      <td>0.777353</td>\n",
              "      <td>399.973420</td>\n",
              "      <td>91.869245</td>\n",
              "      <td>153.806272</td>\n",
              "      <td>162.711144</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.026201</td>\n",
              "      <td>3.727919</td>\n",
              "      <td>3.914868</td>\n",
              "      <td>1.589027</td>\n",
              "      <td>1.330801</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.918400</td>\n",
              "      <td>1.200000</td>\n",
              "      <td>1.020436</td>\n",
              "      <td>63.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>9.000000</td>\n",
              "      <td>208.980400</td>\n",
              "      <td>208.980400</td>\n",
              "      <td>208.980400</td>\n",
              "      <td>208.980400</td>\n",
              "      <td>1.983797</td>\n",
              "      <td>1.958203</td>\n",
              "      <td>207.972460</td>\n",
              "      <td>205.589910</td>\n",
              "      <td>101.019700</td>\n",
              "      <td>101.019700</td>\n",
              "      <td>1313.100000</td>\n",
              "      <td>1348.028986</td>\n",
              "      <td>1313.100000</td>\n",
              "      <td>1327.593381</td>\n",
              "      <td>2.157777</td>\n",
              "      <td>2.038560</td>\n",
              "      <td>1304.500000</td>\n",
              "      <td>1251.855072</td>\n",
              "      <td>499.671949</td>\n",
              "      <td>479.162305</td>\n",
              "      <td>298.000000</td>\n",
              "      <td>298.000000</td>\n",
              "      <td>298.000000</td>\n",
              "      <td>298.000000</td>\n",
              "      <td>2.141961</td>\n",
              "      <td>1.903748</td>\n",
              "      <td>256.000000</td>\n",
              "      <td>240.164344</td>\n",
              "      <td>115.500000</td>\n",
              "      <td>97.140711</td>\n",
              "      <td>22590.000000</td>\n",
              "      <td>22590.000000</td>\n",
              "      <td>22590.000000</td>\n",
              "      <td>22590.000000</td>\n",
              "      <td>1.954297</td>\n",
              "      <td>1.703420</td>\n",
              "      <td>22588.571000</td>\n",
              "      <td>22434.160000</td>\n",
              "      <td>10724.374500</td>\n",
              "      <td>...</td>\n",
              "      <td>326.100000</td>\n",
              "      <td>326.100000</td>\n",
              "      <td>326.100000</td>\n",
              "      <td>1.767732</td>\n",
              "      <td>1.675400</td>\n",
              "      <td>349.000000</td>\n",
              "      <td>218.696600</td>\n",
              "      <td>162.895331</td>\n",
              "      <td>169.075862</td>\n",
              "      <td>105.000000</td>\n",
              "      <td>105.000000</td>\n",
              "      <td>105.000000</td>\n",
              "      <td>105.000000</td>\n",
              "      <td>2.034410</td>\n",
              "      <td>1.747165</td>\n",
              "      <td>104.778000</td>\n",
              "      <td>102.675000</td>\n",
              "      <td>51.635000</td>\n",
              "      <td>51.680482</td>\n",
              "      <td>332.500000</td>\n",
              "      <td>406.960000</td>\n",
              "      <td>317.883627</td>\n",
              "      <td>376.032878</td>\n",
              "      <td>1.633977</td>\n",
              "      <td>1.612989</td>\n",
              "      <td>429.974170</td>\n",
              "      <td>401.440000</td>\n",
              "      <td>214.986150</td>\n",
              "      <td>213.300452</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>2.141963</td>\n",
              "      <td>1.949739</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>6.992200</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>185.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 82 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       numero_de_elementos  mean_atomic_mass  ...  wtd_std_Valence  critical_temp\n",
              "count         21263.000000      21263.000000  ...     21263.000000   21263.000000\n",
              "mean              4.115224         87.557631  ...         0.673987      34.421219\n",
              "std               1.439295         29.676497  ...         0.455580      34.254362\n",
              "min               1.000000          6.941000  ...         0.000000       0.000210\n",
              "25%               3.000000         72.458076  ...         0.306892       5.365000\n",
              "50%               4.000000         84.922750  ...         0.500000      20.000000\n",
              "75%               5.000000        100.404410  ...         1.020436      63.000000\n",
              "max               9.000000        208.980400  ...         3.000000     185.000000\n",
              "\n",
              "[8 rows x 82 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xwe_xzO2FE9D"
      },
      "source": [
        "<font size = 4> Si queremos sólo la información de la temperatura crítica:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hYr_GZUYFE9E",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dadfb50e-7cd1-4fda-8ae5-c4c66ead19ec"
      },
      "source": [
        "df.critical_temp.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    21263.000000\n",
              "mean        34.421219\n",
              "std         34.254362\n",
              "min          0.000210\n",
              "25%          5.365000\n",
              "50%         20.000000\n",
              "75%         63.000000\n",
              "max        185.000000\n",
              "Name: critical_temp, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HNXFhWvmFE9E"
      },
      "source": [
        "<font size=4> El atributo **.mean()** nos regresa el promedio, en este caso, de cada columna:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D-UPi4qHFE9E",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f3e02ca1-dc0f-476b-91ea-695836b7f85b"
      },
      "source": [
        "#df.critical_temp.mean()\n",
        "\n",
        "df.mean()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numero_de_elementos       4.115224\n",
              "mean_atomic_mass         87.557631\n",
              "wtd_mean_atomic_mass     72.988310\n",
              "gmean_atomic_mass        71.290627\n",
              "wtd_gmean_atomic_mass    58.539916\n",
              "                           ...    \n",
              "range_Valence             2.041010\n",
              "wtd_range_Valence         1.483007\n",
              "std_Valence               0.839342\n",
              "wtd_std_Valence           0.673987\n",
              "critical_temp            34.421219\n",
              "Length: 82, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m3T3lQBJFE9E"
      },
      "source": [
        "<font color = 'white' size = 5>\n",
        "3.- Operaciones con DataFrames"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-zGASFMfFE9E"
      },
      "source": [
        "<font size=4> El atributo **.unique()** nos regresa los valores posibles que puede tomar un elemento sin repetir:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DZhUaUDYFE9E",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7fc48f5b-2419-40ed-a599-36e3655144f2"
      },
      "source": [
        "df.critical_temp.unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 29.   ,  26.   ,  19.   , ...,   1.445,   1.165, 122.1  ])"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7wO9jR3LFE9E"
      },
      "source": [
        "<font size = 5> Por otro lado, el archivo **unique_m.csv** contiene la composición por elemento de cada uno de los superconductores así como su fórmula."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EWZ_2pCZFE9E",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "outputId": "7d6667d5-16c4-49f1-a4d6-e2adbb62526d"
      },
      "source": [
        "df_2 = pd.read_csv('/content/drive/MyDrive/Classroom/Introducción a Deep Learning/Tutorial_Pandas/unique_m.csv')\n",
        "df_2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>Zn</th>\n",
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              "      <th>Sn</th>\n",
              "      <th>Sb</th>\n",
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              "      <th>Xe</th>\n",
              "      <th>Cs</th>\n",
              "      <th>Ba</th>\n",
              "      <th>La</th>\n",
              "      <th>Ce</th>\n",
              "      <th>Pr</th>\n",
              "      <th>Nd</th>\n",
              "      <th>Pm</th>\n",
              "      <th>Sm</th>\n",
              "      <th>Eu</th>\n",
              "      <th>Gd</th>\n",
              "      <th>Tb</th>\n",
              "      <th>Dy</th>\n",
              "      <th>Ho</th>\n",
              "      <th>Er</th>\n",
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              "      <th>Yb</th>\n",
              "      <th>Lu</th>\n",
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              "      <th>Ta</th>\n",
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              "      <td>29.00</td>\n",
              "      <td>Ba0.2La1.8Cu1O4</td>\n",
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              "      <th>1</th>\n",
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              "      <td>26.00</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1.90</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.00</td>\n",
              "      <td>Ba0.1La1.9Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.15</td>\n",
              "      <td>1.85</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>22.00</td>\n",
              "      <td>Ba0.15La1.85Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.30</td>\n",
              "      <td>1.70</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>23.00</td>\n",
              "      <td>Ba0.3La1.7Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21258</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.84</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.16</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2.44</td>\n",
              "      <td>Tm0.84Lu0.16Fe3Si5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21259</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>122.10</td>\n",
              "      <td>Tl1Ba2Ca3Cu4O11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1.98</td>\n",
              "      <td>Nb0.8Pd0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1.84</td>\n",
              "      <td>Nb0.69Pd0.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>12.80</td>\n",
              "      <td>Fe1Se0.2Te0.8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21263 rows × 88 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         H  He   Li   Be  ...  At  Rn  critical_temp                material\n",
              "0      0.0   0  0.0  0.0  ...   0   0          29.00         Ba0.2La1.8Cu1O4\n",
              "1      0.0   0  0.0  0.0  ...   0   0          26.00  Ba0.1La1.9Ag0.1Cu0.9O4\n",
              "2      0.0   0  0.0  0.0  ...   0   0          19.00         Ba0.1La1.9Cu1O4\n",
              "3      0.0   0  0.0  0.0  ...   0   0          22.00       Ba0.15La1.85Cu1O4\n",
              "4      0.0   0  0.0  0.0  ...   0   0          23.00         Ba0.3La1.7Cu1O4\n",
              "...    ...  ..  ...  ...  ...  ..  ..            ...                     ...\n",
              "21258  0.0   0  0.0  0.0  ...   0   0           2.44      Tm0.84Lu0.16Fe3Si5\n",
              "21259  0.0   0  0.0  0.0  ...   0   0         122.10         Tl1Ba2Ca3Cu4O11\n",
              "21260  0.0   0  0.0  0.0  ...   0   0           1.98              Nb0.8Pd0.2\n",
              "21261  0.0   0  0.0  0.0  ...   0   0           1.84            Nb0.69Pd0.31\n",
              "21262  0.0   0  0.0  0.0  ...   0   0          12.80           Fe1Se0.2Te0.8\n",
              "\n",
              "[21263 rows x 88 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KKbAu0KJFE9F"
      },
      "source": [
        "<font size=4> Si queremos agregar a nuestro dataframe original la columna **material** que aparece en este nuevo archivo, hacemos lo siguiente:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xo9EgzXiFE9F"
      },
      "source": [
        "df[\"compuesto\"] = df_2[\"material\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QixsIowYFE9F",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "outputId": "b9aa7856-885c-4a23-ad3b-bebb66ea6f14"
      },
      "source": [
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numero_de_elementos</th>\n",
              "      <th>mean_atomic_mass</th>\n",
              "      <th>wtd_mean_atomic_mass</th>\n",
              "      <th>gmean_atomic_mass</th>\n",
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              "      <th>entropy_atomic_radius</th>\n",
              "      <th>wtd_entropy_atomic_radius</th>\n",
              "      <th>range_atomic_radius</th>\n",
              "      <th>wtd_range_atomic_radius</th>\n",
              "      <th>std_atomic_radius</th>\n",
              "      <th>wtd_std_atomic_radius</th>\n",
              "      <th>mean_Density</th>\n",
              "      <th>wtd_mean_Density</th>\n",
              "      <th>gmean_Density</th>\n",
              "      <th>wtd_gmean_Density</th>\n",
              "      <th>entropy_Density</th>\n",
              "      <th>wtd_entropy_Density</th>\n",
              "      <th>range_Density</th>\n",
              "      <th>wtd_range_Density</th>\n",
              "      <th>std_Density</th>\n",
              "      <th>...</th>\n",
              "      <th>gmean_ElectronAffinity</th>\n",
              "      <th>wtd_gmean_ElectronAffinity</th>\n",
              "      <th>entropy_ElectronAffinity</th>\n",
              "      <th>wtd_entropy_ElectronAffinity</th>\n",
              "      <th>range_ElectronAffinity</th>\n",
              "      <th>wtd_range_ElectronAffinity</th>\n",
              "      <th>std_ElectronAffinity</th>\n",
              "      <th>wtd_std_ElectronAffinity</th>\n",
              "      <th>mean_FusionHeat</th>\n",
              "      <th>wtd_mean_FusionHeat</th>\n",
              "      <th>gmean_FusionHeat</th>\n",
              "      <th>wtd_gmean_FusionHeat</th>\n",
              "      <th>entropy_FusionHeat</th>\n",
              "      <th>wtd_entropy_FusionHeat</th>\n",
              "      <th>range_FusionHeat</th>\n",
              "      <th>wtd_range_FusionHeat</th>\n",
              "      <th>std_FusionHeat</th>\n",
              "      <th>wtd_std_FusionHeat</th>\n",
              "      <th>mean_ThermalConductivity</th>\n",
              "      <th>wtd_mean_ThermalConductivity</th>\n",
              "      <th>gmean_ThermalConductivity</th>\n",
              "      <th>wtd_gmean_ThermalConductivity</th>\n",
              "      <th>entropy_ThermalConductivity</th>\n",
              "      <th>wtd_entropy_ThermalConductivity</th>\n",
              "      <th>range_ThermalConductivity</th>\n",
              "      <th>wtd_range_ThermalConductivity</th>\n",
              "      <th>std_ThermalConductivity</th>\n",
              "      <th>wtd_std_ThermalConductivity</th>\n",
              "      <th>mean_Valence</th>\n",
              "      <th>wtd_mean_Valence</th>\n",
              "      <th>gmean_Valence</th>\n",
              "      <th>wtd_gmean_Valence</th>\n",
              "      <th>entropy_Valence</th>\n",
              "      <th>wtd_entropy_Valence</th>\n",
              "      <th>range_Valence</th>\n",
              "      <th>wtd_range_Valence</th>\n",
              "      <th>std_Valence</th>\n",
              "      <th>wtd_std_Valence</th>\n",
              "      <th>critical_temp</th>\n",
              "      <th>compuesto</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.862692</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.116612</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.062396</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>31.794921</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.622535</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.268571</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.016780</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.791488</td>\n",
              "      <td>810.6</td>\n",
              "      <td>735.985714</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.562967</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>105.514286</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.528423</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.207040</td>\n",
              "      <td>205</td>\n",
              "      <td>42.914286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>69.235569</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2961.502286</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.543811</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.814598</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1579.583429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>99.414682</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787382</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.987143</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.558396</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.846857</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.040986</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.994998</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.666920</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.015189</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.621979</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.262848</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.517163</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.219783</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.066221</td>\n",
              "      <td>1</td>\n",
              "      <td>1.085714</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.437059</td>\n",
              "      <td>29.00</td>\n",
              "      <td>Ba0.2La1.8Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>92.729214</td>\n",
              "      <td>58.518416</td>\n",
              "      <td>73.132787</td>\n",
              "      <td>36.396602</td>\n",
              "      <td>1.449309</td>\n",
              "      <td>1.057755</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>36.161939</td>\n",
              "      <td>47.094633</td>\n",
              "      <td>53.979870</td>\n",
              "      <td>766.440000</td>\n",
              "      <td>1010.612857</td>\n",
              "      <td>720.605511</td>\n",
              "      <td>938.745413</td>\n",
              "      <td>1.544145</td>\n",
              "      <td>0.807078</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>290.183029</td>\n",
              "      <td>354.963511</td>\n",
              "      <td>161.200000</td>\n",
              "      <td>104.971429</td>\n",
              "      <td>141.465215</td>\n",
              "      <td>84.370167</td>\n",
              "      <td>1.508328</td>\n",
              "      <td>1.204115</td>\n",
              "      <td>205</td>\n",
              "      <td>50.571429</td>\n",
              "      <td>67.321319</td>\n",
              "      <td>68.008817</td>\n",
              "      <td>5821.48580</td>\n",
              "      <td>3021.016571</td>\n",
              "      <td>1237.095080</td>\n",
              "      <td>54.095718</td>\n",
              "      <td>1.314442</td>\n",
              "      <td>0.914802</td>\n",
              "      <td>10488.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3767.403176</td>\n",
              "      <td>...</td>\n",
              "      <td>69.833315</td>\n",
              "      <td>101.166398</td>\n",
              "      <td>1.427997</td>\n",
              "      <td>0.838666</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>49.438167</td>\n",
              "      <td>41.667621</td>\n",
              "      <td>7.784400</td>\n",
              "      <td>3.796857</td>\n",
              "      <td>4.403790</td>\n",
              "      <td>1.035251</td>\n",
              "      <td>1.374977</td>\n",
              "      <td>1.073094</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.595714</td>\n",
              "      <td>4.473363</td>\n",
              "      <td>4.603000</td>\n",
              "      <td>172.205316</td>\n",
              "      <td>61.372331</td>\n",
              "      <td>16.064228</td>\n",
              "      <td>0.619735</td>\n",
              "      <td>0.847404</td>\n",
              "      <td>0.567706</td>\n",
              "      <td>429.97342</td>\n",
              "      <td>51.413383</td>\n",
              "      <td>198.554600</td>\n",
              "      <td>139.630922</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.257143</td>\n",
              "      <td>1.888175</td>\n",
              "      <td>2.210679</td>\n",
              "      <td>1.557113</td>\n",
              "      <td>1.047221</td>\n",
              "      <td>2</td>\n",
              "      <td>1.128571</td>\n",
              "      <td>0.632456</td>\n",
              "      <td>0.468606</td>\n",
              "      <td>26.00</td>\n",
              "      <td>Ba0.1La1.9Ag0.1Cu0.9O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.885242</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.122509</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>0.975980</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>35.741099</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.656268</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.820000</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>939.009036</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.773620</td>\n",
              "      <td>810.6</td>\n",
              "      <td>743.164286</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>354.804183</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>104.685714</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.214573</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.132547</td>\n",
              "      <td>205</td>\n",
              "      <td>49.314286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>67.797712</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2999.159429</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.974022</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.760305</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1667.383429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>101.082152</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786007</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.207857</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>41.639878</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.822571</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.037439</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.927479</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.757143</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.649635</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.943760</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.619095</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.250477</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.540613</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.271429</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.232679</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.029175</td>\n",
              "      <td>1</td>\n",
              "      <td>1.114286</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.444697</td>\n",
              "      <td>19.00</td>\n",
              "      <td>Ba0.1La1.9Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.873967</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.119560</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.022291</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>33.768010</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.639405</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1010.544286</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>938.512777</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.783207</td>\n",
              "      <td>810.6</td>\n",
              "      <td>739.575000</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>355.183884</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>105.100000</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.371352</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.173033</td>\n",
              "      <td>205</td>\n",
              "      <td>46.114286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>68.521665</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2980.330857</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.758486</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.788889</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1623.483429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>100.244950</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.786900</td>\n",
              "      <td>127.05</td>\n",
              "      <td>81.097500</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>42.102344</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.834714</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.039211</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>0.964031</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.658301</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>60.979474</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.620535</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.257045</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.528893</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.264286</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.226222</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.048834</td>\n",
              "      <td>1</td>\n",
              "      <td>1.100000</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.440952</td>\n",
              "      <td>22.00</td>\n",
              "      <td>Ba0.15La1.85Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>88.944468</td>\n",
              "      <td>57.840143</td>\n",
              "      <td>66.361592</td>\n",
              "      <td>36.110716</td>\n",
              "      <td>1.181795</td>\n",
              "      <td>1.129224</td>\n",
              "      <td>122.90607</td>\n",
              "      <td>27.848743</td>\n",
              "      <td>51.968828</td>\n",
              "      <td>53.588771</td>\n",
              "      <td>775.425000</td>\n",
              "      <td>1009.717143</td>\n",
              "      <td>718.152900</td>\n",
              "      <td>937.025573</td>\n",
              "      <td>1.305967</td>\n",
              "      <td>0.805230</td>\n",
              "      <td>810.6</td>\n",
              "      <td>728.807143</td>\n",
              "      <td>323.811808</td>\n",
              "      <td>356.319281</td>\n",
              "      <td>160.250000</td>\n",
              "      <td>106.342857</td>\n",
              "      <td>136.126003</td>\n",
              "      <td>84.843442</td>\n",
              "      <td>1.259244</td>\n",
              "      <td>1.261194</td>\n",
              "      <td>205</td>\n",
              "      <td>36.514286</td>\n",
              "      <td>75.237540</td>\n",
              "      <td>70.634448</td>\n",
              "      <td>4654.35725</td>\n",
              "      <td>2923.845143</td>\n",
              "      <td>724.953211</td>\n",
              "      <td>53.117029</td>\n",
              "      <td>1.033129</td>\n",
              "      <td>0.859811</td>\n",
              "      <td>8958.571</td>\n",
              "      <td>1491.783429</td>\n",
              "      <td>3306.162897</td>\n",
              "      <td>...</td>\n",
              "      <td>60.123179</td>\n",
              "      <td>97.774719</td>\n",
              "      <td>1.159687</td>\n",
              "      <td>0.787396</td>\n",
              "      <td>127.05</td>\n",
              "      <td>80.766429</td>\n",
              "      <td>51.433712</td>\n",
              "      <td>43.452059</td>\n",
              "      <td>6.905500</td>\n",
              "      <td>3.871143</td>\n",
              "      <td>3.479475</td>\n",
              "      <td>1.044545</td>\n",
              "      <td>1.088575</td>\n",
              "      <td>1.044970</td>\n",
              "      <td>12.878</td>\n",
              "      <td>1.744571</td>\n",
              "      <td>4.599064</td>\n",
              "      <td>4.684014</td>\n",
              "      <td>107.756645</td>\n",
              "      <td>61.086617</td>\n",
              "      <td>7.062488</td>\n",
              "      <td>0.624878</td>\n",
              "      <td>0.308148</td>\n",
              "      <td>0.272820</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>57.127669</td>\n",
              "      <td>168.854244</td>\n",
              "      <td>138.493671</td>\n",
              "      <td>2.25</td>\n",
              "      <td>2.242857</td>\n",
              "      <td>2.213364</td>\n",
              "      <td>2.206963</td>\n",
              "      <td>1.368922</td>\n",
              "      <td>1.096052</td>\n",
              "      <td>1</td>\n",
              "      <td>1.057143</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.428809</td>\n",
              "      <td>23.00</td>\n",
              "      <td>Ba0.3La1.7Cu1O4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21258</th>\n",
              "      <td>4</td>\n",
              "      <td>106.957877</td>\n",
              "      <td>53.095769</td>\n",
              "      <td>82.515384</td>\n",
              "      <td>43.135565</td>\n",
              "      <td>1.177145</td>\n",
              "      <td>1.254119</td>\n",
              "      <td>146.88130</td>\n",
              "      <td>15.504479</td>\n",
              "      <td>65.764081</td>\n",
              "      <td>43.202659</td>\n",
              "      <td>661.775000</td>\n",
              "      <td>753.793333</td>\n",
              "      <td>651.611213</td>\n",
              "      <td>750.570867</td>\n",
              "      <td>1.371139</td>\n",
              "      <td>0.927050</td>\n",
              "      <td>273.0</td>\n",
              "      <td>427.546667</td>\n",
              "      <td>114.383355</td>\n",
              "      <td>64.428777</td>\n",
              "      <td>176.500000</td>\n",
              "      <td>138.244444</td>\n",
              "      <td>169.947614</td>\n",
              "      <td>134.233861</td>\n",
              "      <td>1.350879</td>\n",
              "      <td>1.112222</td>\n",
              "      <td>111</td>\n",
              "      <td>57.808889</td>\n",
              "      <td>45.883003</td>\n",
              "      <td>35.811330</td>\n",
              "      <td>7341.25000</td>\n",
              "      <td>4963.928889</td>\n",
              "      <td>6404.741690</td>\n",
              "      <td>4082.735787</td>\n",
              "      <td>1.284617</td>\n",
              "      <td>1.110551</td>\n",
              "      <td>7511.000</td>\n",
              "      <td>2449.715556</td>\n",
              "      <td>2981.637585</td>\n",
              "      <td>...</td>\n",
              "      <td>49.825259</td>\n",
              "      <td>61.057784</td>\n",
              "      <td>1.164382</td>\n",
              "      <td>0.511822</td>\n",
              "      <td>117.90</td>\n",
              "      <td>74.140000</td>\n",
              "      <td>43.467883</td>\n",
              "      <td>55.219027</td>\n",
              "      <td>25.700000</td>\n",
              "      <td>34.448000</td>\n",
              "      <td>22.494622</td>\n",
              "      <td>29.041737</td>\n",
              "      <td>1.245563</td>\n",
              "      <td>0.631341</td>\n",
              "      <td>36.400</td>\n",
              "      <td>27.497778</td>\n",
              "      <td>14.446107</td>\n",
              "      <td>17.657417</td>\n",
              "      <td>65.500000</td>\n",
              "      <td>111.537778</td>\n",
              "      <td>42.371302</td>\n",
              "      <td>95.001493</td>\n",
              "      <td>1.029002</td>\n",
              "      <td>0.634332</td>\n",
              "      <td>134.00000</td>\n",
              "      <td>83.048889</td>\n",
              "      <td>55.056789</td>\n",
              "      <td>46.595943</td>\n",
              "      <td>3.25</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>3.223710</td>\n",
              "      <td>3.519911</td>\n",
              "      <td>1.377820</td>\n",
              "      <td>0.913658</td>\n",
              "      <td>1</td>\n",
              "      <td>2.168889</td>\n",
              "      <td>0.433013</td>\n",
              "      <td>0.496904</td>\n",
              "      <td>2.44</td>\n",
              "      <td>Tm0.84Lu0.16Fe3Si5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21259</th>\n",
              "      <td>5</td>\n",
              "      <td>92.266740</td>\n",
              "      <td>49.021367</td>\n",
              "      <td>64.812662</td>\n",
              "      <td>32.867748</td>\n",
              "      <td>1.323287</td>\n",
              "      <td>1.571630</td>\n",
              "      <td>188.38390</td>\n",
              "      <td>7.353333</td>\n",
              "      <td>69.232655</td>\n",
              "      <td>50.148287</td>\n",
              "      <td>747.780000</td>\n",
              "      <td>989.819048</td>\n",
              "      <td>702.115184</td>\n",
              "      <td>923.426093</td>\n",
              "      <td>1.541006</td>\n",
              "      <td>0.988470</td>\n",
              "      <td>810.6</td>\n",
              "      <td>659.771429</td>\n",
              "      <td>293.286136</td>\n",
              "      <td>345.450969</td>\n",
              "      <td>159.200000</td>\n",
              "      <td>112.000000</td>\n",
              "      <td>139.743372</td>\n",
              "      <td>89.633687</td>\n",
              "      <td>1.507321</td>\n",
              "      <td>1.536691</td>\n",
              "      <td>205</td>\n",
              "      <td>20.285714</td>\n",
              "      <td>67.211309</td>\n",
              "      <td>72.795212</td>\n",
              "      <td>5174.28580</td>\n",
              "      <td>2827.415190</td>\n",
              "      <td>962.364248</td>\n",
              "      <td>66.286408</td>\n",
              "      <td>1.165065</td>\n",
              "      <td>1.080432</td>\n",
              "      <td>11848.571</td>\n",
              "      <td>1705.918143</td>\n",
              "      <td>4506.895480</td>\n",
              "      <td>...</td>\n",
              "      <td>29.177546</td>\n",
              "      <td>60.814837</td>\n",
              "      <td>1.112639</td>\n",
              "      <td>0.693424</td>\n",
              "      <td>138.63</td>\n",
              "      <td>74.090000</td>\n",
              "      <td>58.434336</td>\n",
              "      <td>57.634544</td>\n",
              "      <td>6.812400</td>\n",
              "      <td>4.793429</td>\n",
              "      <td>3.839585</td>\n",
              "      <td>1.315769</td>\n",
              "      <td>1.345508</td>\n",
              "      <td>1.203223</td>\n",
              "      <td>12.878</td>\n",
              "      <td>2.378952</td>\n",
              "      <td>4.340205</td>\n",
              "      <td>5.204855</td>\n",
              "      <td>132.805316</td>\n",
              "      <td>108.680590</td>\n",
              "      <td>17.747413</td>\n",
              "      <td>1.577047</td>\n",
              "      <td>0.949904</td>\n",
              "      <td>0.745515</td>\n",
              "      <td>399.97342</td>\n",
              "      <td>76.176553</td>\n",
              "      <td>151.164639</td>\n",
              "      <td>156.558695</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2.047619</td>\n",
              "      <td>2.168944</td>\n",
              "      <td>2.038991</td>\n",
              "      <td>1.594167</td>\n",
              "      <td>1.337246</td>\n",
              "      <td>1</td>\n",
              "      <td>0.904762</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.212959</td>\n",
              "      <td>122.10</td>\n",
              "      <td>Tl1Ba2Ca3Cu4O11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21260</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>95.609104</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>95.464320</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.530198</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>53.041104</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>5.405448</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>691.580000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>689.480961</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.542120</td>\n",
              "      <td>139.9</td>\n",
              "      <td>370.180000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>55.960000</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>192.200000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>191.826893</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.465055</td>\n",
              "      <td>29</td>\n",
              "      <td>124.600000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>11.600000</td>\n",
              "      <td>10296.50000</td>\n",
              "      <td>9260.600000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9170.377777</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.572700</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>4451.400000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>79.871364</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.397810</td>\n",
              "      <td>32.40</td>\n",
              "      <td>59.040000</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>12.960000</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>24.780000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>24.380978</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.395385</td>\n",
              "      <td>10.100</td>\n",
              "      <td>18.100000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.040000</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>57.400000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>57.038314</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.559446</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>6.800000</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.781762</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.450561</td>\n",
              "      <td>1</td>\n",
              "      <td>3.200000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>1.98</td>\n",
              "      <td>Nb0.8Pd0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21261</th>\n",
              "      <td>2</td>\n",
              "      <td>99.663190</td>\n",
              "      <td>97.095602</td>\n",
              "      <td>99.433882</td>\n",
              "      <td>96.901083</td>\n",
              "      <td>0.690847</td>\n",
              "      <td>0.640883</td>\n",
              "      <td>13.51362</td>\n",
              "      <td>31.115202</td>\n",
              "      <td>6.756810</td>\n",
              "      <td>6.249958</td>\n",
              "      <td>733.550000</td>\n",
              "      <td>706.969000</td>\n",
              "      <td>730.207231</td>\n",
              "      <td>704.143255</td>\n",
              "      <td>0.688594</td>\n",
              "      <td>0.648876</td>\n",
              "      <td>139.9</td>\n",
              "      <td>208.799000</td>\n",
              "      <td>69.950000</td>\n",
              "      <td>64.702805</td>\n",
              "      <td>183.500000</td>\n",
              "      <td>189.010000</td>\n",
              "      <td>182.926215</td>\n",
              "      <td>188.514109</td>\n",
              "      <td>0.690022</td>\n",
              "      <td>0.590271</td>\n",
              "      <td>29</td>\n",
              "      <td>84.230000</td>\n",
              "      <td>14.500000</td>\n",
              "      <td>13.412304</td>\n",
              "      <td>10296.50000</td>\n",
              "      <td>9640.430000</td>\n",
              "      <td>10150.719679</td>\n",
              "      <td>9518.329826</td>\n",
              "      <td>0.679023</td>\n",
              "      <td>0.667210</td>\n",
              "      <td>3453.000</td>\n",
              "      <td>2186.170000</td>\n",
              "      <td>1726.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>69.537903</td>\n",
              "      <td>75.915236</td>\n",
              "      <td>0.667182</td>\n",
              "      <td>0.527718</td>\n",
              "      <td>32.40</td>\n",
              "      <td>43.332000</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>14.984781</td>\n",
              "      <td>21.750000</td>\n",
              "      <td>23.669000</td>\n",
              "      <td>21.155614</td>\n",
              "      <td>23.144890</td>\n",
              "      <td>0.665945</td>\n",
              "      <td>0.525289</td>\n",
              "      <td>10.100</td>\n",
              "      <td>13.315000</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>4.671182</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>59.270000</td>\n",
              "      <td>61.919302</td>\n",
              "      <td>58.781651</td>\n",
              "      <td>0.683870</td>\n",
              "      <td>0.659671</td>\n",
              "      <td>17.00000</td>\n",
              "      <td>15.250000</td>\n",
              "      <td>8.500000</td>\n",
              "      <td>7.862385</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4.690000</td>\n",
              "      <td>4.472136</td>\n",
              "      <td>4.665819</td>\n",
              "      <td>0.686962</td>\n",
              "      <td>0.577601</td>\n",
              "      <td>1</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.462493</td>\n",
              "      <td>1.84</td>\n",
              "      <td>Nb0.69Pd0.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21262</th>\n",
              "      <td>3</td>\n",
              "      <td>87.468333</td>\n",
              "      <td>86.858500</td>\n",
              "      <td>82.555758</td>\n",
              "      <td>80.458722</td>\n",
              "      <td>1.041270</td>\n",
              "      <td>0.895229</td>\n",
              "      <td>71.75500</td>\n",
              "      <td>43.144000</td>\n",
              "      <td>29.905282</td>\n",
              "      <td>33.927941</td>\n",
              "      <td>856.166667</td>\n",
              "      <td>821.190000</td>\n",
              "      <td>852.858789</td>\n",
              "      <td>818.631908</td>\n",
              "      <td>1.094784</td>\n",
              "      <td>0.968771</td>\n",
              "      <td>181.3</td>\n",
              "      <td>285.510000</td>\n",
              "      <td>74.569624</td>\n",
              "      <td>65.291691</td>\n",
              "      <td>127.333333</td>\n",
              "      <td>137.500000</td>\n",
              "      <td>125.493812</td>\n",
              "      <td>136.084313</td>\n",
              "      <td>1.084025</td>\n",
              "      <td>0.883461</td>\n",
              "      <td>53</td>\n",
              "      <td>67.700000</td>\n",
              "      <td>21.853045</td>\n",
              "      <td>19.345542</td>\n",
              "      <td>6311.00000</td>\n",
              "      <td>6914.900000</td>\n",
              "      <td>6186.508901</td>\n",
              "      <td>6830.731801</td>\n",
              "      <td>1.078970</td>\n",
              "      <td>0.874139</td>\n",
              "      <td>3055.000</td>\n",
              "      <td>3455.100000</td>\n",
              "      <td>1248.208583</td>\n",
              "      <td>...</td>\n",
              "      <td>86.530864</td>\n",
              "      <td>57.563783</td>\n",
              "      <td>0.839248</td>\n",
              "      <td>0.747947</td>\n",
              "      <td>179.30</td>\n",
              "      <td>68.080000</td>\n",
              "      <td>83.414480</td>\n",
              "      <td>87.740504</td>\n",
              "      <td>12.233333</td>\n",
              "      <td>14.440000</td>\n",
              "      <td>10.925390</td>\n",
              "      <td>13.816376</td>\n",
              "      <td>1.002899</td>\n",
              "      <td>0.826780</td>\n",
              "      <td>12.100</td>\n",
              "      <td>6.460000</td>\n",
              "      <td>5.062498</td>\n",
              "      <td>3.481724</td>\n",
              "      <td>27.506667</td>\n",
              "      <td>40.752000</td>\n",
              "      <td>4.976422</td>\n",
              "      <td>12.919996</td>\n",
              "      <td>0.194158</td>\n",
              "      <td>0.142553</td>\n",
              "      <td>78.48000</td>\n",
              "      <td>39.448000</td>\n",
              "      <td>36.425359</td>\n",
              "      <td>38.254432</td>\n",
              "      <td>5.00</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4.762203</td>\n",
              "      <td>4.242641</td>\n",
              "      <td>1.054920</td>\n",
              "      <td>0.970116</td>\n",
              "      <td>3</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>1.414214</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>12.80</td>\n",
              "      <td>Fe1Se0.2Te0.8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21263 rows × 83 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       numero_de_elementos  ...               compuesto\n",
              "0                        4  ...         Ba0.2La1.8Cu1O4\n",
              "1                        5  ...  Ba0.1La1.9Ag0.1Cu0.9O4\n",
              "2                        4  ...         Ba0.1La1.9Cu1O4\n",
              "3                        4  ...       Ba0.15La1.85Cu1O4\n",
              "4                        4  ...         Ba0.3La1.7Cu1O4\n",
              "...                    ...  ...                     ...\n",
              "21258                    4  ...      Tm0.84Lu0.16Fe3Si5\n",
              "21259                    5  ...         Tl1Ba2Ca3Cu4O11\n",
              "21260                    2  ...              Nb0.8Pd0.2\n",
              "21261                    2  ...            Nb0.69Pd0.31\n",
              "21262                    3  ...           Fe1Se0.2Te0.8\n",
              "\n",
              "[21263 rows x 83 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PER5DhgIFE9F"
      },
      "source": [
        "<font size=4> Observamos que se agregó la columna **material** ahora con el nombre **compuesto**."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font color = 'white' size = 5>\n",
        "4.- Removiendo Null values"
      ],
      "metadata": {
        "id": "nhsV_SWL8sPR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Estaremos utilizando el atributo **dataframe.dropna()** cuya documentación puedes consultar [aquí](https://pandas.pydata.org/docs/user_guide/index.html)"
      ],
      "metadata": {
        "id": "JFNMjn9mBnhj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Definimos un dataframe de prueba que contenga Null values"
      ],
      "metadata": {
        "id": "iv9VDUmWAF6n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame({\n",
        "    'colA':[None, False, False, True], \n",
        "    'colB': [None, 2, None, 4],\n",
        "    'colC': [None, 'b', 'c', 'd'],\n",
        "    'colD': [None, 2.0, 3.0, 4.0],\n",
        "    })\n",
        "\n",
        "print(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XboNou8A86nO",
        "outputId": "6cd55376-a606-4bfd-d697-71e6c5c0ecb1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    colA  colB  colC  colD\n",
            "0   None   NaN  None   NaN\n",
            "1  False   2.0     b   2.0\n",
            "2  False   NaN     c   3.0\n",
            "3   True   4.0     d   4.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Si quieremos eliminar todos los **renglones** con al menos un valor **NaN** hacemos lo siguiente:"
      ],
      "metadata": {
        "id": "dxKMPDGKE2dH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_rows = df.dropna()\n",
        "\n",
        "#Imprimimos el DF\n",
        "df_rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "7y8YX1PZ86hK",
        "outputId": "3cf6f7f3-1e6b-47dd-e19b-3ed5a3f0e1f4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    colA  colB colC  colD\n",
              "1  False   2.0    b   2.0\n",
              "3   True   4.0    d   4.0"
            ],
            "text/html": [
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>colA</th>\n",
              "      <th>colB</th>\n",
              "      <th>colC</th>\n",
              "      <th>colD</th>\n",
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              "      <th>1</th>\n",
              "      <td>False</td>\n",
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              "      <td>2.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>4.0</td>\n",
              "      <td>d</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      cursor: pointer;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e11ec0e7-526e-4f0d-a6a9-8a9e946f3685 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e11ec0e7-526e-4f0d-a6a9-8a9e946f3685');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Si quieremos eliminar los **renglones** que **únicamente** tengan valores **NaN** hacemos lo siguiente:"
      ],
      "metadata": {
        "id": "P5TlmBq6FsbT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_u_rows = df.dropna(how='all')\n",
        "\n",
        "#Imprimimos el DF\n",
        "df_u_rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "XOGmjvpc86YW",
        "outputId": "7f713550-424b-4182-a69b-c2ab2b7b4d33"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    colA  colB colC  colD\n",
              "1  False   2.0    b   2.0\n",
              "2  False   NaN    c   3.0\n",
              "3   True   4.0    d   4.0"
            ],
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              "\n",
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              "      <th>colA</th>\n",
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              "      <th>1</th>\n",
              "      <td>False</td>\n",
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              "      <td>2.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>c</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>True</td>\n",
              "      <td>4.0</td>\n",
              "      <td>d</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f349cc1a-bd39-4ecd-807a-765665cadf86')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
              "      </button>\n",
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              "      display:flex;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f349cc1a-bd39-4ecd-807a-765665cadf86 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f349cc1a-bd39-4ecd-807a-765665cadf86');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Si quieremos eliminar los **renglones** que tengan valores **NaN**, **únicamente** en ciertos renglones,  hacemos lo siguiente:"
      ],
      "metadata": {
        "id": "a83PvlqvFE9F"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_just_some_columns = df.dropna(subset=['colA', 'colC'])\n",
        "\n",
        "#Imprimimos el DF\n",
        "df_just_some_columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "OjuwwfBLF_z8",
        "outputId": "ee854c11-391d-4ac4-b704-1ad05a629b40"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    colA  colB colC  colD\n",
              "1  False   2.0    b   2.0\n",
              "2  False   NaN    c   3.0\n",
              "3   True   4.0    d   4.0"
            ],
            "text/html": [
              "\n",
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              "      <th>1</th>\n",
              "      <td>False</td>\n",
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              "      <td>2.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>c</td>\n",
              "      <td>3.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>True</td>\n",
              "      <td>4.0</td>\n",
              "      <td>d</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f96194f6-21d3-4d00-8933-009f45b13963')\"\n",
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              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f96194f6-21d3-4d00-8933-009f45b13963 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f96194f6-21d3-4d00-8933-009f45b13963');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> En este último caso, definimos en el subconjunto **subset** el nombre de las columnas donde queremos aplicar la eliminación de valores *NaN*."
      ],
      "metadata": {
        "id": "yTcW_-I4F_6J"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> En algunas ocasiones no queremos eliminar los datos de nuestro dataframe, y en su lugar queremos **reemplazar** los valores **NaN** por 0 u otro valor."
      ],
      "metadata": {
        "id": "qytc50GpIFUV"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<font size=4> Para este propósito, utilizaremos el atributo **df.fillna()**. Cuya documentación puedes encontrar [aquí](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html)."
      ],
      "metadata": {
        "id": "ZM2jgFUEIFYz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.fillna(0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "TLUNvB4rIFcy",
        "outputId": "53fe8209-686a-475c-b2e5-ea48bd38a2c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    colA  colB colC  colD\n",
              "0      0   0.0    0   0.0\n",
              "1  False   2.0    b   2.0\n",
              "2  False   0.0    c   3.0\n",
              "3   True   4.0    d   4.0"
            ],
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              "      <th>0</th>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <th>1</th>\n",
              "      <td>False</td>\n",
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              "      <td>b</td>\n",
              "      <td>2.0</td>\n",
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              "      <th>2</th>\n",
              "      <td>False</td>\n",
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              "      <td>c</td>\n",
              "      <td>3.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>True</td>\n",
              "      <td>4.0</td>\n",
              "      <td>d</td>\n",
              "      <td>4.0</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7651f17e-a112-4685-a334-701eab1563fc')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7651f17e-a112-4685-a334-701eab1563fc button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7651f17e-a112-4685-a334-701eab1563fc');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qpHyfL0IIFov"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}