True_color.ipynb

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    "import earthaccess\n",
    "import xarray as xr\n",
    "from matplotlib import animation\n",
    "from xarray.backends.api import open_datatree\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "import pandas as pd\n",
    "from PIL import Image, ImageEnhance\n",
    "from matplotlib.patches import Polygon"
   ]
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    "def enhancel3(rgb, scale = .01, vmin = 0.01, vmax = 1.02, gamma=.95, contrast=1.5, brightness=1.02, sharpness=2, saturation=1.1):\n",
    "   \n",
    "    rgb = rgb.where(rgb > 0)\n",
    "    rgb = np.log(rgb / scale) / np.log(1 / scale)\n",
    "    rgb = (rgb -  rgb.min()) / (rgb.max() - rgb.min())\n",
    "    rgb = rgb * gamma\n",
    "    img = rgb * 255\n",
    "    img = img.where(img.notnull(), 0).astype(\"uint8\")\n",
    "    img = Image.fromarray(img.data)\n",
    "    enhancer = ImageEnhance.Contrast(img)\n",
    "    img = enhancer.enhance(contrast)\n",
    "    enhancer = ImageEnhance.Brightness(img)\n",
    "    img = enhancer.enhance(brightness)\n",
    "    enhancer = ImageEnhance.Sharpness(img)\n",
    "    img = enhancer.enhance(sharpness)\n",
    "    enhancer = ImageEnhance.Color(img)\n",
    "    img = enhancer.enhance(saturation)\n",
    "    rgb[:] = np.array(img) / 255    \n",
    "    return rgb"
   ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 27GB\n",
       "Dimensions:     (wavelength: 184, lat: 4320, lon: 8640, rgb: 3,\n",
       "                 eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * wavelength  (wavelength) float64 1kB 339.0 341.0 344.0 ... 714.0 717.0 719.0\n",
       "  * lat         (lat) float32 17kB 89.98 89.94 89.9 ... -89.9 -89.94 -89.98\n",
       "  * lon         (lon) float32 35kB -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    Rrs         (lat, lon, wavelength) float32 27GB ...\n",
       "    palette     (rgb, eightbitcolor) uint8 768B ...\n",
       "Attributes: (12/64)\n",
       "    product_name:                      PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs...\n",
       "    instrument:                        OCI\n",
       "    title:                             OCI Level-3 Standard Mapped Image\n",
       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
       "    platform:                          PACE\n",
       "    source:                            satellite observations from OCI-PACE\n",
       "    ...                                ...\n",
       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/RRS/2.0\n",
       "    keywords:                          Earth Science &gt; Oceans &gt; Ocean Optics ...\n",
       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
       "    data_bins:                         3310866\n",
       "    data_minimum:                      -0.0100000035\n",
       "    data_maximum:                      0.099999994</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ce34d73d-1b6a-412e-b36e-c807230fe727' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce34d73d-1b6a-412e-b36e-c807230fe727' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>wavelength</span>: 184</li><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li><li><span>rgb</span>: 3</li><li><span>eightbitcolor</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca326257-eb1c-45bd-8ab7-3aa242da1a13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca326257-eb1c-45bd-8ab7-3aa242da1a13' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>339.0 341.0 344.0 ... 717.0 719.0</div><input id='attrs-c53c957f-d3d5-40f8-8ce0-7bf2a4d71247' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c53c957f-d3d5-40f8-8ce0-7bf2a4d71247' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c76ed634-792a-40f8-acdb-38b278c6e00e' class='xr-var-data-in' type='checkbox'><label for='data-c76ed634-792a-40f8-acdb-38b278c6e00e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wavelengths</dd><dt><span>units :</span></dt><dd>nm</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>20000</dd></dl></div><div class='xr-var-data'><pre>array([339., 341., 344., 346., 348., 351., 353., 356., 358., 361., 363., 366.,\n",
       "       368., 371., 373., 375., 378., 380., 383., 385., 388., 390., 393., 395.,\n",
       "       398., 400., 403., 405., 408., 410., 413., 415., 418., 420., 422., 425.,\n",
       "       427., 430., 432., 435., 437., 440., 442., 445., 447., 450., 452., 455.,\n",
       "       457., 460., 462., 465., 467., 470., 472., 475., 477., 480., 482., 485.,\n",
       "       487., 490., 492., 495., 497., 500., 502., 505., 507., 510., 512., 515.,\n",
       "       517., 520., 522., 525., 527., 530., 532., 535., 537., 540., 542., 545.,\n",
       "       547., 550., 553., 555., 558., 560., 563., 565., 568., 570., 573., 575.,\n",
       "       578., 580., 583., 586., 588., 591., 593., 596., 598., 601., 603., 605.,\n",
       "       608., 610., 613., 615., 618., 620., 623., 625., 627., 630., 632., 635.,\n",
       "       637., 640., 641., 642., 643., 645., 646., 647., 648., 650., 651., 652.,\n",
       "       653., 655., 656., 657., 658., 660., 661., 662., 663., 665., 666., 667.,\n",
       "       668., 670., 671., 672., 673., 675., 676., 677., 678., 679., 681., 682.,\n",
       "       683., 684., 686., 687., 688., 689., 691., 692., 693., 694., 696., 697.,\n",
       "       698., 699., 701., 702., 703., 704., 706., 707., 708., 709., 711., 712.,\n",
       "       713., 714., 717., 719.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-97f08899-684a-45a8-8409-f6a3123a4321' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97f08899-684a-45a8-8409-f6a3123a4321' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac00f59d-700f-4514-a227-263a47bcda64' class='xr-var-data-in' type='checkbox'><label for='data-ac00f59d-700f-4514-a227-263a47bcda64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979164,  89.9375  ,  89.895836, ..., -89.895836, -89.93751 ,\n",
       "       -89.97917 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-af7e7638-e0b7-4692-95a1-65ad97514ee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af7e7638-e0b7-4692-95a1-65ad97514ee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde4e4d1-95f0-45bb-a809-f462d3c76520' class='xr-var-data-in' type='checkbox'><label for='data-fde4e4d1-95f0-45bb-a809-f462d3c76520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([-179.97917, -179.9375 , -179.89583, ...,  179.89584,  179.93752,\n",
       "        179.97917], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e3d3c9e-e74a-41f9-917f-f0422a574ce2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e3d3c9e-e74a-41f9-917f-f0422a574ce2' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Rrs</span></div><div class='xr-var-dims'>(lat, lon, wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a61750b-1ab1-4e4a-a222-b3b5ac6c3b64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a61750b-1ab1-4e4a-a222-b3b5ac6c3b64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a03bfe-1999-4cb9-a007-b14751825367' class='xr-var-data-in' type='checkbox'><label for='data-95a03bfe-1999-4cb9-a007-b14751825367' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Remote sensing reflectance</dd><dt><span>units :</span></dt><dd>sr^-1</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>display_scale :</span></dt><dd>linear</dd><dt><span>display_min :</span></dt><dd>0.0</dd><dt><span>display_max :</span></dt><dd>0.025</dd></dl></div><div class='xr-var-data'><pre>[6867763200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>palette</span></div><div class='xr-var-dims'>(rgb, eightbitcolor)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38f5aaf9-d048-41d7-ad17-2c9cd3c19c4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38f5aaf9-d048-41d7-ad17-2c9cd3c19c4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31b35826-d648-46e1-8563-db6e29697362' class='xr-var-data-in' type='checkbox'><label for='data-31b35826-d648-46e1-8563-db6e29697362' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[768 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9650ad3e-75a7-4170-aa1d-1eff31c6ed03' class='xr-section-summary-in' type='checkbox'  ><label for='section-9650ad3e-75a7-4170-aa1d-1eff31c6ed03' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ec9a5c5c-bdb6-4207-becc-7bddfbab28ce' class='xr-index-data-in' type='checkbox'/><label for='index-ec9a5c5c-bdb6-4207-becc-7bddfbab28ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([339.0, 341.0, 344.0, 346.0, 348.0, 351.0, 353.0, 356.0, 358.0, 361.0,\n",
       "       ...\n",
       "       706.0, 707.0, 708.0, 709.0, 711.0, 712.0, 713.0, 714.0, 717.0, 719.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;wavelength&#x27;, length=184))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bb387b81-ae46-466e-a7bd-83456ebb9ffd' class='xr-index-data-in' type='checkbox'/><label for='index-bb387b81-ae46-466e-a7bd-83456ebb9ffd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 89.97916412353516,            89.9375,  89.89583587646484,\n",
       "        89.85416412353516,            89.8125,  89.77083587646484,\n",
       "        89.72916412353516,            89.6875,  89.64583587646484,\n",
       "        89.60416412353516,\n",
       "       ...\n",
       "       -89.60417175292969, -89.64583587646484, -89.68750762939453,\n",
       "       -89.72917175292969, -89.77083587646484, -89.81250762939453,\n",
       "       -89.85417175292969, -89.89583587646484, -89.93750762939453,\n",
       "       -89.97917175292969],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-81efa860-f27b-4ad7-b5ed-8ff23712b66c' class='xr-index-data-in' type='checkbox'/><label for='index-81efa860-f27b-4ad7-b5ed-8ff23712b66c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.9791717529297,          -179.9375, -179.8958282470703,\n",
       "       -179.8541717529297,          -179.8125, -179.7708282470703,\n",
       "       -179.7291717529297,          -179.6875, -179.6458282470703,\n",
       "       -179.6041717529297,\n",
       "       ...\n",
       "        179.6041717529297, 179.64584350585938, 179.68751525878906,\n",
       "        179.7291717529297, 179.77084350585938, 179.81251525878906,\n",
       "        179.8541717529297, 179.89584350585938, 179.93751525878906,\n",
       "        179.9791717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=8640))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-210f4a7a-a683-40e5-a9f3-7ef2c51de6d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-210f4a7a-a683-40e5-a9f3-7ef2c51de6d1' class='xr-section-summary' >Attributes: <span>(64)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>product_name :</span></dt><dd>PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc</dd><dt><span>instrument :</span></dt><dd>OCI</dd><dt><span>title :</span></dt><dd>OCI Level-3 Standard Mapped Image</dd><dt><span>project :</span></dt><dd>Ocean Biology Processing Group (NASA/GSFC/OBPG)</dd><dt><span>platform :</span></dt><dd>PACE</dd><dt><span>source :</span></dt><dd>satellite observations from OCI-PACE</dd><dt><span>temporal_range :</span></dt><dd>day</dd><dt><span>processing_version :</span></dt><dd>2.0</dd><dt><span>date_created :</span></dt><dd>2024-07-24T17:49:30.000Z</dd><dt><span>history :</span></dt><dd>l3mapgen par=PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc.param </dd><dt><span>l2_flag_names :</span></dt><dd>ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT</dd><dt><span>time_coverage_start :</span></dt><dd>2024-07-07T00:01:11.000Z</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-08T01:59:03.000Z</dd><dt><span>start_orbit_number :</span></dt><dd>0</dd><dt><span>end_orbit_number :</span></dt><dd>0</dd><dt><span>map_projection :</span></dt><dd>Equidistant Cylindrical</dd><dt><span>latitude_units :</span></dt><dd>degrees_north</dd><dt><span>longitude_units :</span></dt><dd>degrees_east</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>latitude_step :</span></dt><dd>0.041666668</dd><dt><span>longitude_step :</span></dt><dd>0.041666668</dd><dt><span>sw_point_latitude :</span></dt><dd>-89.979164</dd><dt><span>sw_point_longitude :</span></dt><dd>-179.97917</dd><dt><span>spatialResolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>4.638312 km</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>number_of_lines :</span></dt><dd>4320</dd><dt><span>number_of_columns :</span></dt><dd>8640</dd><dt><span>measure :</span></dt><dd>Mean</dd><dt><span>suggested_image_scaling_minimum :</span></dt><dd>0.0</dd><dt><span>suggested_image_scaling_maximum :</span></dt><dd>0.025</dd><dt><span>suggested_image_scaling_type :</span></dt><dd>LINEAR</dd><dt><span>suggested_image_scaling_applied :</span></dt><dd>No</dd><dt><span>_lastModified :</span></dt><dd>2024-07-24T17:49:30.000Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.6 ACDD-1.3</dd><dt><span>institution :</span></dt><dd>NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v36</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.gsfc.sci.oceandata</dd><dt><span>id :</span></dt><dd>2.0/L3/PACE_OCI.20240707.L3b.DAY.RRS.V2_0.NRT.nc</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/</dd><dt><span>creator_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>publisher_name :</span></dt><dd>NASA/GSFC/OBPG</dd><dt><span>creator_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>publisher_email :</span></dt><dd>data@oceancolor.gsfc.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://oceandata.sci.gsfc.nasa.gov</dd><dt><span>processing_level :</span></dt><dd>L3 Mapped</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>identifier_product_doi_authority :</span></dt><dd>http://dx.doi.org</dd><dt><span>identifier_product_doi :</span></dt><dd>10.5067/PACE/OCI/L3M/RRS/2.0</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Optics &gt; Reflectance</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>data_bins :</span></dt><dd>3310866</dd><dt><span>data_minimum :</span></dt><dd>-0.0100000035</dd><dt><span>data_maximum :</span></dt><dd>0.099999994</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 27GB\n",
       "Dimensions:     (wavelength: 184, lat: 4320, lon: 8640, rgb: 3,\n",
       "                 eightbitcolor: 256)\n",
       "Coordinates:\n",
       "  * wavelength  (wavelength) float64 1kB 339.0 341.0 344.0 ... 714.0 717.0 719.0\n",
       "  * lat         (lat) float32 17kB 89.98 89.94 89.9 ... -89.9 -89.94 -89.98\n",
       "  * lon         (lon) float32 35kB -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "Dimensions without coordinates: rgb, eightbitcolor\n",
       "Data variables:\n",
       "    Rrs         (lat, lon, wavelength) float32 27GB ...\n",
       "    palette     (rgb, eightbitcolor) uint8 768B ...\n",
       "Attributes: (12/64)\n",
       "    product_name:                      PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs...\n",
       "    instrument:                        OCI\n",
       "    title:                             OCI Level-3 Standard Mapped Image\n",
       "    project:                           Ocean Biology Processing Group (NASA/G...\n",
       "    platform:                          PACE\n",
       "    source:                            satellite observations from OCI-PACE\n",
       "    ...                                ...\n",
       "    identifier_product_doi:            10.5067/PACE/OCI/L3M/RRS/2.0\n",
       "    keywords:                          Earth Science > Oceans > Ocean Optics ...\n",
       "    keywords_vocabulary:               NASA Global Change Master Directory (G...\n",
       "    data_bins:                         3310866\n",
       "    data_minimum:                      -0.0100000035\n",
       "    data_maximum:                      0.099999994"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auth = earthaccess.login(persist=True)\n",
    "tspan = (\"2024-07-07\", \"2024-08-05\")\n",
    "bbox = (-174, 22, -142, 34)\n",
    "\n",
    "results = earthaccess.search_data(\n",
    "    short_name=\"PACE_OCI_L3M_RRS_NRT\",\n",
    "    temporal=tspan,\n",
    "    #bounding_box=bbox,\n",
    "    granule_name=\"*.DAY.*.4km*\"\n",
    "    #granule_name=\"*.DAY.*.0p1deg.*\",\n",
    ")\n",
    "\n",
    "results[0]\n",
    "print(len(results))\n",
    "\n",
    "paths = earthaccess.open(results)\n",
    "paths\n",
    "dataset = xr.open_dataset(paths[0])\n",
    "dataset\n",
    "\n",
    "#print(len(results))\n",
    "#paths = earthaccess.open(results)\n",
    "#dataset = xr.open_mfdataset(\n",
    " #   paths,\n",
    "  #  combine=\"nested\",\n",
    "   # concat_dim=\"date\",\n",
    "#)\n",
    "#dataset = xr.open(paths[0])\n",
    "#dataset\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "538cf0dc-697a-4c40-a4f2-c4e0f3d3fb21",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = dataset.sel(lon=slice(-174,-142), lat=slice(34,22))\n",
    "print(dataset)\n",
    "#(-174, 22, -142, 34)\n",
    "rrs = dataset[\"Rrs\"]\n",
    "rrs.sizes\n",
    "rrs_rgb = dataset[\"Rrs\"].sel({\"wavelength\": [645, 555, 368]})\n",
    "\n",
    "rrs_rgb[\"channel\"] = (\"wavelength\", [\"Reds\", \"Greens\", \"Blues\"])\n",
    "rrs_rgb = rrs_rgb.swap_dims({\"wavelength\": \"channel\"})\n",
    "rrs_rgb\n",
    "\n",
    "fig, axs = plt.subplots(3, 1, figsize=(8, 7), sharex=True)\n",
    "for i, item in enumerate(rrs_rgb[\"channel\"]):\n",
    "    array = rrs_rgb.sel({\"channel\": item})\n",
    "    #array = rrs_rgb.sel(lo)\n",
    "    array.plot.imshow(x=\"lon\", y=\"lat\", cmap=item.item(), ax=axs[i], robust=True)\n",
    "    axs[i].set_aspect(\"equal\")\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d295a2c-f67f-4dda-8948-6b6b85642965",
   "metadata": {},
   "outputs": [],
   "source": [
    "rrs_rgb_enhanced = enhancel3(rrs_rgb, scale = .01, vmin = 0.01, vmax = 1.02, gamma=.95, contrast=1, brightness=1, sharpness=1, saturation=1)\n",
    "rrs_rgb_enhanced\n",
    "artist = rrs_rgb_enhanced.plot.imshow(x=\"lon\", y=\"lat\")\n",
    "plt.gca().set_aspect(\"equal\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67adf74c-94d4-47d4-935e-776881ed6a6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "paths = earthaccess.open(results)\n",
    "for i in range(1):\n",
    "    dataset = xr.open_dataset(paths[i])\n",
    "    dataset = dataset.sel(lon=slice(-174,-142), lat=slice(34,22))\n",
    "    dtstr = pd.to_datetime(dataset.attrs[\"time_coverage_start\"]).strftime('%Y-%m-%d')\n",
    "    rrs_rgb = dataset[\"Rrs\"].sel({\"wavelength\": [645, 555, 368]})\n",
    "    rrs_rgb[\"channel\"] = (\"wavelength\", [\"Reds\", \"Greens\", \"Blues\"])\n",
    "    rrs_rgb = rrs_rgb.swap_dims({\"wavelength\": \"channel\"})\n",
    "    rrs_rgb\n",
    "    rrs_rgb_enhanced = enhancel3(rrs_rgb, scale = .01, vmin = 0.01, vmax = 1.02, gamma=.95, contrast=1, brightness=1, sharpness=1, saturation=1)\n",
    "    \n",
    "    plt.figure(num=i)\n",
    "    rrs_rgb_enhanced.plot.imshow(x=\"lon\", y=\"lat\")\n",
    "    ax = plt.gca()\n",
    "    ax.text(-173, 23, dtstr, weight='bold', fontsize=14, color='red')\n",
    "    plt.gca().set_aspect(\"equal\")\n",
    "\n",
    "    #plt.gca().set_aspect(\"equal\")\n",
    "    #print(dataset)\n",
    "    #(-174, 22, -142, 34)\n",
    "\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "612328be-094a-4755-ab05-4514d4266ea4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "latlon_slices = (slice(34, 22), slice(-174, -142))\n",
    "frames = np.arange(len(paths))\n",
    "#dtstr = pd.to_datetime(dataset.attrs[\"id\"]).strftime('%Y-%m-%d')\n",
    "ids = dataset.attrs[\"id\"]\n",
    "a = ids.split('.')\n",
    "dtstr = pd.to_datetime(a[2]).strftime('%Y-%m-%d')\n",
    "\n",
    "def get_img_data(i):\n",
    "    dataset = xr.open_dataset(paths[i])\n",
    "    dataset = dataset.sel(lat=latlon_slices[0], lon=latlon_slices[1])\n",
    "    rrs_rgb = dataset[\"Rrs\"].sel({\"wavelength\": [645, 555, 368]})\n",
    "    rrs_rgb[\"channel\"] = (\"wavelength\", [\"Reds\", \"Greens\", \"Blues\"])\n",
    "    rrs_rgb = rrs_rgb.swap_dims({\"wavelength\": \"channel\"})\n",
    "    rrs_rgb_enhanced = enhancel3(rrs_rgb, scale = .01, vmin = 0.01, vmax = 1.02, gamma=.95, contrast=1, brightness=1, sharpness=1, saturation=1)\n",
    "    ids = dataset.attrs[\"id\"]\n",
    "    a = ids.split('.')\n",
    "    dtstr = pd.to_datetime(a[2]).strftime('%Y-%m-%d')\n",
    "    return(rrs_rgb_enhanced,dtstr)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rrs_rgb_enhanced,dtstr = get_img_data(0)\n",
    "im = rrs_rgb_enhanced.plot.imshow(x=\"lon\", y=\"lat\")\n",
    "plt.gca().set_aspect(\"equal\")\n",
    "#ax.text(-173, 23, dtstr, weight='bold', fontsize=14, color='red')\n",
    "ax.set_title(dtstr)\n",
    "ROI_verts = [(-157.5, 28), (-159, 28), (-159, 26), (-157.5, 26)]\n",
    "poly_ROI = Polygon(list(ROI_verts), facecolor=[1,1,1,0], edgecolor='r', linewidth=2, linestyle='-', zorder=2)\n",
    "plt.gca().add_patch(poly_ROI)\n",
    "\n",
    "def update(i):\n",
    "    im_d, dstr = get_img_data(i)\n",
    "    im.set_data(im_d)\n",
    "    ax.set_title(dstr)\n",
    "\n",
    "\n",
    "an = animation.FuncAnimation(fig=fig, func=update, frames=frames, interval=500)\n",
    "plt.show()\n",
    "filename = f'true_color_gif_07July02August.gif'\n",
    "an.save(filename, writer=\"pillow\")\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ba138614-881c-4d5a-b8d6-d018c65a48b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "latlon_slices = (slice(34, 22), slice(-174, -142))\n",
    "\n",
    "def get_img_data(i):\n",
    "    dataset = xr.open_dataset(paths[i])\n",
    "    dataset = dataset.sel(lat=latlon_slices[0], lon=latlon_slices[1])\n",
    "    dtstr = pd.to_datetime(dataset.attrs[\"time_coverage_start\"]).strftime('%Y-%m-%d')\n",
    "    rrs_rgb = dataset[\"Rrs\"].sel({\"wavelength\": [645, 555, 368]})\n",
    "    rrs_rgb[\"channel\"] = (\"wavelength\", [\"Reds\", \"Greens\", \"Blues\"])\n",
    "    rrs_rgb = rrs_rgb.swap_dims({\"wavelength\": \"channel\"})\n",
    "    rrs_rgb_enhanced = enhancel3(rrs_rgb, scale = .01, vmin = 0.01, vmax = 1.02, gamma=.95, contrast=1, brightness=1, sharpness=1, saturation=1)\n",
    "    ids = dataset.attrs[\"id\"]\n",
    "    a = ids.split('.')\n",
    "    dtstr = pd.to_datetime(a[2]).strftime('%Y-%m-%d')\n",
    "    return rrs_rgb_enhanced, dtstr\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rrs_rgb_enhanced, test = get_img_data(25)\n",
    "im = rrs_rgb_enhanced.plot.imshow(x=\"lon\", y=\"lat\")\n",
    "plt.gca().set_aspect(\"equal\")\n",
    "ROI_verts = [(-157.5, 28), (-159, 28), (-159, 26), (-157.5, 26)]\n",
    "poly_ROI = Polygon(list(ROI_verts), facecolor=[1,1,1,0], edgecolor='r', linewidth=2, linestyle='-', zorder=2)\n",
    "plt.gca().add_patch(poly_ROI)\n",
    "\n",
    "ax.text(-173, 23, test, weight='bold', fontsize=14, color='red')\n",
    "ax.set_title(test)\n",
    "plt.savefig(\"QTC_08012024.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3fce827-9e42-4fe5-aa58-ec899c21138d",
   "metadata": {},
   "outputs": [],
   "source": [
    "frames = np.arange(len(paths))\n",
    "frames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f7b45885-35bb-4835-8a9e-6e8be323ecfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_img_data(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "810366dd-2426-4c4b-a7f3-738ccaf70413",
   "metadata": {},
   "outputs": [],
   "source": [
    "[A,B] = get_img_data(0)\n",
    "A\n",
    "B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d8cedfc6-690d-4405-a4f9-fbf3a1b76910",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'product_name': 'PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc',\n",
       " 'instrument': 'OCI',\n",
       " 'title': 'OCI Level-3 Standard Mapped Image',\n",
       " 'project': 'Ocean Biology Processing Group (NASA/GSFC/OBPG)',\n",
       " 'platform': 'PACE',\n",
       " 'source': 'satellite observations from OCI-PACE',\n",
       " 'temporal_range': 'day',\n",
       " 'processing_version': '2.0',\n",
       " 'date_created': '2024-07-24T17:49:30.000Z',\n",
       " 'history': 'l3mapgen par=PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc.param ',\n",
       " 'l2_flag_names': 'ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,NAVFAIL,FILTER,HIGLINT',\n",
       " 'time_coverage_start': '2024-07-07T00:01:11.000Z',\n",
       " 'time_coverage_end': '2024-07-08T01:59:03.000Z',\n",
       " 'start_orbit_number': 0,\n",
       " 'end_orbit_number': 0,\n",
       " 'map_projection': 'Equidistant Cylindrical',\n",
       " 'latitude_units': 'degrees_north',\n",
       " 'longitude_units': 'degrees_east',\n",
       " 'northernmost_latitude': 90.0,\n",
       " 'southernmost_latitude': -90.0,\n",
       " 'westernmost_longitude': -180.0,\n",
       " 'easternmost_longitude': 180.0,\n",
       " 'geospatial_lat_max': 90.0,\n",
       " 'geospatial_lat_min': -90.0,\n",
       " 'geospatial_lon_max': 180.0,\n",
       " 'geospatial_lon_min': -180.0,\n",
       " 'latitude_step': 0.041666668,\n",
       " 'longitude_step': 0.041666668,\n",
       " 'sw_point_latitude': -89.979164,\n",
       " 'sw_point_longitude': -179.97917,\n",
       " 'spatialResolution': '4.638312 km',\n",
       " 'geospatial_lon_resolution': '4.638312 km',\n",
       " 'geospatial_lat_resolution': '4.638312 km',\n",
       " 'geospatial_lat_units': 'degrees_north',\n",
       " 'geospatial_lon_units': 'degrees_east',\n",
       " 'number_of_lines': 4320,\n",
       " 'number_of_columns': 8640,\n",
       " 'measure': 'Mean',\n",
       " 'suggested_image_scaling_minimum': 0.0,\n",
       " 'suggested_image_scaling_maximum': 0.025,\n",
       " 'suggested_image_scaling_type': 'LINEAR',\n",
       " 'suggested_image_scaling_applied': 'No',\n",
       " '_lastModified': '2024-07-24T17:49:30.000Z',\n",
       " 'Conventions': 'CF-1.6 ACDD-1.3',\n",
       " 'institution': 'NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group',\n",
       " 'standard_name_vocabulary': 'CF Standard Name Table v36',\n",
       " 'naming_authority': 'gov.nasa.gsfc.sci.oceandata',\n",
       " 'id': '2.0/L3/PACE_OCI.20240707.L3b.DAY.RRS.V2_0.NRT.nc',\n",
       " 'license': 'https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/',\n",
       " 'creator_name': 'NASA/GSFC/OBPG',\n",
       " 'publisher_name': 'NASA/GSFC/OBPG',\n",
       " 'creator_email': 'data@oceancolor.gsfc.nasa.gov',\n",
       " 'publisher_email': 'data@oceancolor.gsfc.nasa.gov',\n",
       " 'creator_url': 'https://oceandata.sci.gsfc.nasa.gov',\n",
       " 'publisher_url': 'https://oceandata.sci.gsfc.nasa.gov',\n",
       " 'processing_level': 'L3 Mapped',\n",
       " 'cdm_data_type': 'grid',\n",
       " 'identifier_product_doi_authority': 'http://dx.doi.org',\n",
       " 'identifier_product_doi': '10.5067/PACE/OCI/L3M/RRS/2.0',\n",
       " 'keywords': 'Earth Science > Oceans > Ocean Optics > Reflectance',\n",
       " 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords',\n",
       " 'data_bins': 3310866,\n",
       " 'data_minimum': -0.0100000035,\n",
       " 'data_maximum': 0.099999994}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.attrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "948f5160-0db9-4c13-8bd0-539792d060f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240707.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240708.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240709.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240710.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240711.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240712.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240713.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240714.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240715.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240716.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240717.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240718.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240719.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240720.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240721.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240722.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240723.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240724.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240725.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240726.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240727.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240728.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240729.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240730.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240731.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240801.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240802.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240803.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240804.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>,\n",
       " <File-like object S3FileSystem, ob-cumulus-prod-public/PACE_OCI.20240805.L3m.DAY.RRS.V2_0.Rrs.4km.NRT.nc>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1a9facb2-01e4-4ee1-b953-2deba5383aff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0/L3/PACE_OCI.20240707.L3b.DAY.RRS.V2_0.NRT.nc'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.attrs[\"id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0c819fd0-4b9e-4440-ac58-e5b6bd691936",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2024-07-07 00:00:00')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(\"20240707\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "89e881ca-673e-4a11-b2a5-4537a0dc8a43",
   "metadata": {},
   "outputs": [],
   "source": [
    "ids = dataset.attrs[\"id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fd45df6d-e7b6-4b0e-a041-b3cf6f9ced5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2024-07-07 00:00:00')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ids = dataset.attrs[\"id\"]\n",
    "a = ids.split('.')\n",
    "pd.to_datetime(a[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0a12fdd-d7b5-4947-8b0d-d7075addb9c7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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