pytvlwcharts.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "BBTePqJJUb2r"
      },
      "outputs": [],
      "source": [
        "pip install --quiet --upgrade git+https://github.com/TechfaneTechnologies/pytvlwcharts.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from pandas import Timestamp\n",
        "from pytvlwcharts import *"
      ],
      "metadata": {
        "id": "YXZmyz59Ui00"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "DailyDF = pd.DataFrame({'time': {1: Timestamp('2022-07-01 09:15:00+0530', tz='Asia/Kolkata'), 2: Timestamp('2022-07-04 09:15:00+0530', tz='Asia/Kolkata'), 3: Timestamp('2022-07-05 09:15:00+0530', tz='Asia/Kolkata'), 4: Timestamp('2022-07-06 09:15:00+0530', tz='Asia/Kolkata'), 5: Timestamp('2022-07-07 09:15:00+0530', tz='Asia/Kolkata'), 6: Timestamp('2022-07-08 09:15:00+0530', tz='Asia/Kolkata'), 7: Timestamp('2022-07-11 09:15:00+0530', tz='Asia/Kolkata'), 8: Timestamp('2022-07-12 09:15:00+0530', tz='Asia/Kolkata'), 9: Timestamp('2022-07-13 09:15:00+0530', tz='Asia/Kolkata'), 10: Timestamp('2022-07-14 09:15:00+0530', tz='Asia/Kolkata'), 11: Timestamp('2022-07-15 09:15:00+0530', tz='Asia/Kolkata'), 12: Timestamp('2022-07-18 09:15:00+0530', tz='Asia/Kolkata'), 13: Timestamp('2022-07-19 09:15:00+0530', tz='Asia/Kolkata'), 14: Timestamp('2022-07-20 09:15:00+0530', tz='Asia/Kolkata'), 15: Timestamp('2022-07-21 09:15:00+0530', tz='Asia/Kolkata'), 16: Timestamp('2022-07-22 09:15:00+0530', tz='Asia/Kolkata'), 17: Timestamp('2022-07-25 09:15:00+0530', tz='Asia/Kolkata'), 18: Timestamp('2022-07-26 09:15:00+0530', tz='Asia/Kolkata'), 19: Timestamp('2022-07-27 09:15:00+0530', tz='Asia/Kolkata'), 20: Timestamp('2022-07-28 09:15:00+0530', tz='Asia/Kolkata'), 21: Timestamp('2022-07-29 09:15:00+0530', tz='Asia/Kolkata'), 22: Timestamp('2022-08-01 09:15:00+0530', tz='Asia/Kolkata'), 23: Timestamp('2022-08-02 09:15:00+0530', tz='Asia/Kolkata'), 24: Timestamp('2022-08-03 09:15:00+0530', tz='Asia/Kolkata'), 25: Timestamp('2022-08-04 09:15:00+0530', tz='Asia/Kolkata'), 26: Timestamp('2022-08-05 09:15:00+0530', tz='Asia/Kolkata'), 27: Timestamp('2022-08-08 09:15:00+0530', tz='Asia/Kolkata'), 28: Timestamp('2022-08-10 09:15:00+0530', tz='Asia/Kolkata'), 29: Timestamp('2022-08-11 09:15:00+0530', tz='Asia/Kolkata'), 30: Timestamp('2022-08-12 09:15:00+0530', tz='Asia/Kolkata'), 31: Timestamp('2022-08-16 09:15:00+0530', tz='Asia/Kolkata'), 32: Timestamp('2022-08-17 09:15:00+0530', tz='Asia/Kolkata'), 33: Timestamp('2022-08-18 09:15:00+0530', tz='Asia/Kolkata'), 34: Timestamp('2022-08-19 09:15:00+0530', tz='Asia/Kolkata'), 35: Timestamp('2022-08-22 09:15:00+0530', tz='Asia/Kolkata'), 36: Timestamp('2022-08-23 09:15:00+0530', tz='Asia/Kolkata'), 37: Timestamp('2022-08-24 09:15:00+0530', tz='Asia/Kolkata'), 38: Timestamp('2022-08-25 09:15:00+0530', tz='Asia/Kolkata'), 39: Timestamp('2022-08-26 09:15:00+0530', tz='Asia/Kolkata'), 40: Timestamp('2022-08-29 09:15:00+0530', tz='Asia/Kolkata'), 41: Timestamp('2022-08-30 09:15:00+0530', tz='Asia/Kolkata'), 42: Timestamp('2022-09-01 09:15:00+0530', tz='Asia/Kolkata'), 43: Timestamp('2022-09-02 09:15:00+0530', tz='Asia/Kolkata')}, 'open': {1: 33400.0, 2: 33748.1, 3: 34319.0, 4: 33934.5, 5: 34812.2, 6: 35355.0, 7: 35226.2, 8: 35421.0, 9: 35299.0, 10: 35035.1, 11: 34932.0, 12: 35050.0, 13: 35394.0, 14: 36207.9, 15: 36105.0, 16: 36459.9, 17: 36829.55, 18: 36799.95, 19: 36453.2, 20: 37214.75, 21: 37847.65, 22: 37770.9, 23: 37944.85, 24: 38095.25, 25: 38326.65, 26: 38000.15, 27: 38108.0, 28: 38501.1, 29: 38850.0, 30: 39131.55, 31: 39411.5, 32: 39551.0, 33: 39585.9, 34: 39941.4, 35: 38950.0, 36: 38149.9, 37: 38975.0, 38: 39380.0, 39: 39272.0, 40: 38315.0, 41: 38607.1, 42: 39006.0, 43: 39519.95}, 'high': {1: 33877.35, 2: 34189.2, 3: 34520.25, 4: 34550.0, 5: 35150.0, 6: 35426.9, 7: 35716.15, 8: 35580.0, 9: 35484.45, 10: 35212.3, 11: 35066.55, 12: 35596.65, 13: 35918.0, 14: 36364.05, 15: 36466.25, 16: 36932.75, 17: 37081.95, 18: 36799.95, 19: 36941.9, 20: 37555.0, 21: 37898.95, 22: 38130.25, 23: 38379.95, 24: 38277.95, 25: 38407.95, 26: 38332.0, 27: 38511.05, 28: 38597.95, 29: 39133.4, 30: 39270.0, 31: 39624.0, 32: 39708.65, 33: 39948.6, 34: 39950.0, 35: 38958.5, 36: 39100.0, 37: 39336.7, 38: 39681.15, 39: 39525.0, 40: 38560.0, 41: 39786.65, 42: 39828.1, 43: 39714.95}, 'low': {1: 33309.1, 2: 33748.1, 3: 33901.95, 4: 33934.45, 5: 34760.0, 6: 35151.95, 7: 35172.1, 8: 35230.0, 9: 34970.0, 10: 34767.6, 11: 34685.0, 12: 35025.0, 13: 35366.35, 14: 36045.0, 15: 36032.2, 16: 36402.1, 17: 36575.7, 18: 36455.0, 19: 36390.0, 20: 37192.45, 21: 37413.0, 22: 37615.0, 23: 37825.35, 24: 37902.3, 25: 37461.2, 26: 37969.0, 27: 37914.0, 28: 38367.0, 29: 38849.95, 30: 38950.0, 31: 39320.6, 32: 39421.05, 33: 39510.35, 34: 39055.55, 35: 38459.7, 36: 38149.8, 37: 38811.5, 38: 38949.2, 39: 39037.2, 40: 38129.0, 41: 38606.25, 42: 38952.15, 43: 39311.3}, 'close': {1: 33859.6, 2: 33785.25, 3: 34139.75, 4: 33959.3, 5: 34507.15, 6: 35112.4, 7: 35299.85, 8: 35614.05, 9: 35290.15, 10: 35060.05, 11: 34854.9, 12: 34906.15, 13: 35564.3, 14: 35865.55, 15: 36088.1, 16: 36333.1, 17: 36838.2, 18: 36819.4, 19: 36500.8, 20: 36914.85, 21: 37529.8, 22: 37711.45, 23: 38094.15, 24: 38160.5, 25: 38177.0, 26: 37929.0, 27: 38108.05, 28: 38445.15, 29: 38513.5, 30: 39097.75, 31: 39240.55, 32: 39465.75, 33: 39676.3, 34: 39875.35, 35: 39184.0, 36: 38507.3, 37: 38957.1, 38: 39257.15, 39: 39100.65, 40: 39221.85, 41: 38441.75, 42: 39707.6, 43: 39466.75}})"
      ],
      "metadata": {
        "id": "uSH_Hy9jWdiD"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "FifteenMinuteDF = pd.DataFrame({'time': {1: 1656666900, 2: 1656667800, 3: 1656668700, 4: 1656669600, 5: 1656670500, 6: 1656671400, 7: 1656672300, 8: 1656673200, 9: 1656674100, 10: 1656675000, 11: 1656675900, 12: 1656676800, 13: 1656677700, 14: 1656678600, 15: 1656679500, 16: 1656680400, 17: 1656681300, 18: 1656682200, 19: 1656683100, 20: 1656684000, 21: 1656684900, 22: 1656685800, 23: 1656686700, 24: 1656687600, 25: 1656688500, 26: 1656926100, 27: 1656927000, 28: 1656927900, 29: 1656928800, 30: 1656929700, 31: 1656930600, 32: 1656931500, 33: 1656932400, 34: 1656933300, 35: 1656934200, 36: 1656935100, 37: 1656936000, 38: 1656936900, 39: 1656937800, 40: 1656938700, 41: 1656939600, 42: 1656940500, 43: 1656941400, 44: 1656942300, 45: 1656943200, 46: 1656944100, 47: 1656945000, 48: 1656945900, 49: 1656946800, 50: 1656947700, 51: 1657012500, 52: 1657013400, 53: 1657014300, 54: 1657015200, 55: 1657016100, 56: 1657017000, 57: 1657017900, 58: 1657018800, 59: 1657019700, 60: 1657020600, 61: 1657021500, 62: 1657022400, 63: 1657023300, 64: 1657024200, 65: 1657025100, 66: 1657026000, 67: 1657026900, 68: 1657027800, 69: 1657028700, 70: 1657029600, 71: 1657030500, 72: 1657031400, 73: 1657032300, 74: 1657033200, 75: 1657034100, 76: 1657098900, 77: 1657099800, 78: 1657100700, 79: 1657101600, 80: 1657102500, 81: 1657103400, 82: 1657104300, 83: 1657105200, 84: 1657106100, 85: 1657107000, 86: 1657107900, 87: 1657108800, 88: 1657109700, 89: 1657110600, 90: 1657111500, 91: 1657112400, 92: 1657113300, 93: 1657114200, 94: 1657115100, 95: 1657116000, 96: 1657116900, 97: 1657117800, 98: 1657118700, 99: 1657119600, 100: 1657120500, 101: 1657185300, 102: 1657186200, 103: 1657187100, 104: 1657188000, 105: 1657188900, 106: 1657189800, 107: 1657190700, 108: 1657191600, 109: 1657192500, 110: 1657193400, 111: 1657194300, 112: 1657195200, 113: 1657196100, 114: 1657197000, 115: 1657197900, 116: 1657198800, 117: 1657199700, 118: 1657200600, 119: 1657201500, 120: 1657202400, 121: 1657203300, 122: 1657204200, 123: 1657205100, 124: 1657206000, 125: 1657206900, 126: 1657271700, 127: 1657272600, 128: 1657273500, 129: 1657274400, 130: 1657275300, 131: 1657276200, 132: 1657277100, 133: 1657278000, 134: 1657278900, 135: 1657279800, 136: 1657280700, 137: 1657281600, 138: 1657282500, 139: 1657283400, 140: 1657284300, 141: 1657285200, 142: 1657286100, 143: 1657287000, 144: 1657287900, 145: 1657288800, 146: 1657289700, 147: 1657290600, 148: 1657291500, 149: 1657292400, 150: 1657293300, 151: 1657530900, 152: 1657531800, 153: 1657532700, 154: 1657533600, 155: 1657534500, 156: 1657535400, 157: 1657536300, 158: 1657537200, 159: 1657538100, 160: 1657539000, 161: 1657539900, 162: 1657540800, 163: 1657541700, 164: 1657542600, 165: 1657543500, 166: 1657544400, 167: 1657545300, 168: 1657546200, 169: 1657547100, 170: 1657548000, 171: 1657548900, 172: 1657549800, 173: 1657550700, 174: 1657551600, 175: 1657552500, 176: 1657617300, 177: 1657618200, 178: 1657619100, 179: 1657620000, 180: 1657620900, 181: 1657621800, 182: 1657622700, 183: 1657623600, 184: 1657624500, 185: 1657625400, 186: 1657626300, 187: 1657627200, 188: 1657628100, 189: 1657629000, 190: 1657629900, 191: 1657630800, 192: 1657631700, 193: 1657632600, 194: 1657633500, 195: 1657634400, 196: 1657635300, 197: 1657636200, 198: 1657637100, 199: 1657638000, 200: 1657638900, 201: 1657703700, 202: 1657704600, 203: 1657705500, 204: 1657706400, 205: 1657707300, 206: 1657708200, 207: 1657709100, 208: 1657710000, 209: 1657710900, 210: 1657711800, 211: 1657712700, 212: 1657713600, 213: 1657714500, 214: 1657715400, 215: 1657716300, 216: 1657717200, 217: 1657718100, 218: 1657719000, 219: 1657719900, 220: 1657720800, 221: 1657721700, 222: 1657722600, 223: 1657723500, 224: 1657724400, 225: 1657725300, 226: 1657790100, 227: 1657791000, 228: 1657791900, 229: 1657792800, 230: 1657793700, 231: 1657794600, 232: 1657795500, 233: 1657796400, 234: 1657797300, 235: 1657798200, 236: 1657799100, 237: 1657800000, 238: 1657800900, 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38479.45, 994: 38464.0, 995: 38491.6, 996: 38448.0, 997: 38479.0, 998: 38423.45, 999: 38419.0, 1000: 38471.75, 1001: 38888.0, 1002: 38909.15, 1003: 38903.0, 1004: 38913.95, 1005: 38907.95, 1006: 38997.35, 1007: 39030.75, 1008: 39073.9, 1009: 39051.9, 1010: 39055.85, 1011: 39066.8, 1012: 39105.3, 1013: 39180.95, 1014: 39215.0, 1015: 39317.15, 1016: 39318.6, 1017: 39341.75, 1018: 39428.85, 1019: 39411.9, 1020: 39441.95, 1021: 39514.95, 1022: 39530.95, 1023: 39570.75, 1024: 39700.3, 1025: 39720.0, 1026: 39414.95, 1027: 39640.7, 1028: 39587.35, 1029: 39750.4, 1030: 39799.0, 1031: 39690.55, 1032: 39704.8, 1033: 39683.8, 1034: 39689.1, 1035: 39650.0, 1036: 39505.15, 1037: 39600.0, 1038: 39537.85, 1039: 39583.95, 1040: 39460.0, 1041: 39400.35, 1042: 39456.95, 1043: 39414.95, 1044: 39176.65, 1045: 39270.05, 1046: 39294.15, 1047: 39437.0, 1048: 39382.75, 1049: 39487.3, 1050: 39499.4, 1051: 39438.95, 1052: 39462.05, 1053: 39381.05, 1054: 39374.4, 1055: 39459.45, 1056: 39484.0, 1057: 39411.95, 1058: 39427.35, 1059: 39404.45, 1060: 39427.7, 1061: 39433.75, 1062: 39473.55, 1063: 39526.3, 1064: 39535.6, 1065: 39544.2, 1066: 39588.0, 1067: 39576.1, 1068: 39533.0, 1069: 39578.65, 1070: 39669.8, 1071: 39640.3, 1072: 39537.85, 1073: 39473.7, 1074: 39578.85, 1075: 39530.1}})"
      ],
      "metadata": {
        "id": "EGk-LvN7Ujvh"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "DailyChart = Chart(\n",
        "    data=DailyDF,\n",
        "    width = 1360,\n",
        "    height = 500,\n",
        "    time_scale=TimeScaleOptions(\n",
        "        seconds_visible=True,\n",
        "        time_visible=True)\n",
        "    ).mark_candlestick()\n",
        "DailyChart"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "hgZw_eZ0fYLs",
        "outputId": "2c108cbb-60b2-4a94-8ba9-e4c6958d99c4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pytvlwcharts.tvlwcharts.Series at 0x7f0a39797110>"
            ],
            "text/html": [
              "\n",
              "   <script src=\"https://unpkg.com/lightweight-charts/dist/lightweight-charts.standalone.production.js\"></script> \n",
              "   \n",
              "   <div id=\"vis-fce7626b3c8a4fdfab2e251c2276d437\"></div>\n",
              "   <script type=\"text/javascript\">\n",
              "     (() => {\n",
              "     const outputDiv = document.getElementById(\"vis-fce7626b3c8a4fdfab2e251c2276d437\");\n",
              "     const chart = LightweightCharts.createChart(outputDiv, {\n",
              "  \"height\": 500,\n",
              "  \"timeScale\": {\n",
              "    \"secondsVisible\": true,\n",
              "    \"timeVisible\": true\n",
              "  },\n",
              "  \"width\": 1360\n",
              "});\n",
              "\n",
              "     \n",
              "     (() => {\n",
              "       const chart_series = chart.addCandlestickSeries(\n",
              "         {}\n",
              "       );\n",
              "       chart_series.setData(\n",
              "         [{\"time\":\"2022-07-01T03:45:00.000Z\",\"open\":33400.0,\"high\":33877.35,\"low\":33309.1,\"close\":33859.6},{\"time\":\"2022-07-04T03:45:00.000Z\",\"open\":33748.1,\"high\":34189.2,\"low\":33748.1,\"close\":33785.25},{\"time\":\"2022-07-05T03:45:00.000Z\",\"open\":34319.0,\"high\":34520.25,\"low\":33901.95,\"close\":34139.75},{\"time\":\"2022-07-06T03:45:00.000Z\",\"open\":33934.5,\"high\":34550.0,\"low\":33934.45,\"close\":33959.3},{\"time\":\"2022-07-07T03:45:00.000Z\",\"open\":34812.2,\"high\":35150.0,\"low\":34760.0,\"close\":34507.15},{\"time\":\"2022-07-08T03:45:00.000Z\",\"open\":35355.0,\"high\":35426.9,\"low\":35151.95,\"close\":35112.4},{\"time\":\"2022-07-11T03:45:00.000Z\",\"open\":35226.2,\"high\":35716.15,\"low\":35172.1,\"close\":35299.85},{\"time\":\"2022-07-12T03:45:00.000Z\",\"open\":35421.0,\"high\":35580.0,\"low\":35230.0,\"close\":35614.05},{\"time\":\"2022-07-13T03:45:00.000Z\",\"open\":35299.0,\"high\":35484.45,\"low\":34970.0,\"close\":35290.15},{\"time\":\"2022-07-14T03:45:00.000Z\",\"open\":35035.1,\"high\":35212.3,\"low\":34767.6,\"close\":35060.05},{\"time\":\"2022-07-15T03:45:00.000Z\",\"open\":34932.0,\"high\":35066.55,\"low\":34685.0,\"close\":34854.9},{\"time\":\"2022-07-18T03:45:00.000Z\",\"open\":35050.0,\"high\":35596.65,\"low\":35025.0,\"close\":34906.15},{\"time\":\"2022-07-19T03:45:00.000Z\",\"open\":35394.0,\"high\":35918.0,\"low\":35366.35,\"close\":35564.3},{\"time\":\"2022-07-20T03:45:00.000Z\",\"open\":36207.9,\"high\":36364.05,\"low\":36045.0,\"close\":35865.55},{\"time\":\"2022-07-21T03:45:00.000Z\",\"open\":36105.0,\"high\":36466.25,\"low\":36032.2,\"close\":36088.1},{\"time\":\"2022-07-22T03:45:00.000Z\",\"open\":36459.9,\"high\":36932.75,\"low\":36402.1,\"close\":36333.1},{\"time\":\"2022-07-25T03:45:00.000Z\",\"open\":36829.55,\"high\":37081.95,\"low\":36575.7,\"close\":36838.2},{\"time\":\"2022-07-26T03:45:00.000Z\",\"open\":36799.95,\"high\":36799.95,\"low\":36455.0,\"close\":36819.4},{\"time\":\"2022-07-27T03:45:00.000Z\",\"open\":36453.2,\"high\":36941.9,\"low\":36390.0,\"close\":36500.8},{\"time\":\"2022-07-28T03:45:00.000Z\",\"open\":37214.75,\"high\":37555.0,\"low\":37192.45,\"close\":36914.85},{\"time\":\"2022-07-29T03:45:00.000Z\",\"open\":37847.65,\"high\":37898.95,\"low\":37413.0,\"close\":37529.8},{\"time\":\"2022-08-01T03:45:00.000Z\",\"open\":37770.9,\"high\":38130.25,\"low\":37615.0,\"close\":37711.45},{\"time\":\"2022-08-02T03:45:00.000Z\",\"open\":37944.85,\"high\":38379.95,\"low\":37825.35,\"close\":38094.15},{\"time\":\"2022-08-03T03:45:00.000Z\",\"open\":38095.25,\"high\":38277.95,\"low\":37902.3,\"close\":38160.5},{\"time\":\"2022-08-04T03:45:00.000Z\",\"open\":38326.65,\"high\":38407.95,\"low\":37461.2,\"close\":38177.0},{\"time\":\"2022-08-05T03:45:00.000Z\",\"open\":38000.15,\"high\":38332.0,\"low\":37969.0,\"close\":37929.0},{\"time\":\"2022-08-08T03:45:00.000Z\",\"open\":38108.0,\"high\":38511.05,\"low\":37914.0,\"close\":38108.05},{\"time\":\"2022-08-10T03:45:00.000Z\",\"open\":38501.1,\"high\":38597.95,\"low\":38367.0,\"close\":38445.15},{\"time\":\"2022-08-11T03:45:00.000Z\",\"open\":38850.0,\"high\":39133.4,\"low\":38849.95,\"close\":38513.5},{\"time\":\"2022-08-12T03:45:00.000Z\",\"open\":39131.55,\"high\":39270.0,\"low\":38950.0,\"close\":39097.75},{\"time\":\"2022-08-16T03:45:00.000Z\",\"open\":39411.5,\"high\":39624.0,\"low\":39320.6,\"close\":39240.55},{\"time\":\"2022-08-17T03:45:00.000Z\",\"open\":39551.0,\"high\":39708.65,\"low\":39421.05,\"close\":39465.75},{\"time\":\"2022-08-18T03:45:00.000Z\",\"open\":39585.9,\"high\":39948.6,\"low\":39510.35,\"close\":39676.3},{\"time\":\"2022-08-19T03:45:00.000Z\",\"open\":39941.4,\"high\":39950.0,\"low\":39055.55,\"close\":39875.35},{\"time\":\"2022-08-22T03:45:00.000Z\",\"open\":38950.0,\"high\":38958.5,\"low\":38459.7,\"close\":39184.0},{\"time\":\"2022-08-23T03:45:00.000Z\",\"open\":38149.9,\"high\":39100.0,\"low\":38149.8,\"close\":38507.3},{\"time\":\"2022-08-24T03:45:00.000Z\",\"open\":38975.0,\"high\":39336.7,\"low\":38811.5,\"close\":38957.1},{\"time\":\"2022-08-25T03:45:00.000Z\",\"open\":39380.0,\"high\":39681.15,\"low\":38949.2,\"close\":39257.15},{\"time\":\"2022-08-26T03:45:00.000Z\",\"open\":39272.0,\"high\":39525.0,\"low\":39037.2,\"close\":39100.65},{\"time\":\"2022-08-29T03:45:00.000Z\",\"open\":38315.0,\"high\":38560.0,\"low\":38129.0,\"close\":39221.85},{\"time\":\"2022-08-30T03:45:00.000Z\",\"open\":38607.1,\"high\":39786.65,\"low\":38606.25,\"close\":38441.75},{\"time\":\"2022-09-01T03:45:00.000Z\",\"open\":39006.0,\"high\":39828.1,\"low\":38952.15,\"close\":39707.6},{\"time\":\"2022-09-02T03:45:00.000Z\",\"open\":39519.95,\"high\":39714.95,\"low\":39311.3,\"close\":39466.75}]\n",
              "       );\n",
              "       chart_series.setMarkers(\n",
              "         []\n",
              "       );\n",
              "       \n",
              "     })();\n",
              "     \n",
              "     })();\n",
              "   </script>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "FifteenMinuteChart = Chart(\n",
        "    data=FifteenMinuteDF,\n",
        "    width = 1360,\n",
        "    height = 500,\n",
        "    time_scale=TimeScaleOptions(\n",
        "        seconds_visible=True,\n",
        "        time_visible=True)\n",
        "    ).mark_candlestick()\n",
        "FifteenMinuteChart"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "i4mwjRnPk8qi",
        "outputId": "9ea4a3a6-f91a-4503-cef2-1eff6db92664"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pytvlwcharts.tvlwcharts.Series at 0x7f0a396fec90>"
            ],
            "text/html": [
              "\n",
              "   <script src=\"https://unpkg.com/lightweight-charts/dist/lightweight-charts.standalone.production.js\"></script> \n",
              "   \n",
              "   <div id=\"vis-97bdd20f1b6f4e738c894cc2bc5c60bb\"></div>\n",
              "   <script type=\"text/javascript\">\n",
              "     (() => {\n",
              "     const outputDiv = document.getElementById(\"vis-97bdd20f1b6f4e738c894cc2bc5c60bb\");\n",
              "     const chart = LightweightCharts.createChart(outputDiv, {\n",
              "  \"height\": 500,\n",
              "  \"timeScale\": {\n",
              "    \"secondsVisible\": true,\n",
              "    \"timeVisible\": true\n",
              "  },\n",
              "  \"width\": 1360\n",
              "});\n",
              "\n",
              "     \n",
              "     (() => {\n",
              "       const chart_series = chart.addCandlestickSeries(\n",
              "         {}\n",
              "       );\n",
              "       chart_series.setData(\n",
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              "       );\n",
              "       chart_series.setMarkers(\n",
              "         []\n",
              "       );\n",
              "       \n",
              "     })();\n",
              "     \n",
              "     })();\n",
              "   </script>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    }
  ]
}