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{
"cells": [
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe srcdoc=\"<!DOCTYPE html>\n",
"<html>\n",
"<head>\n",
" \n",
" <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n",
" \n",
" <script>\n",
" L_NO_TOUCH = false;\n",
" L_DISABLE_3D = false;\n",
" </script>\n",
" \n",
" <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n",
" <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n",
" <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>\n",
" <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n",
" <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>\n",
" <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css"/>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css"/>\n",
" <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap-glyphicons.css"/>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css"/>\n",
" <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\n",
" \n",
" <meta name="viewport" content="width=device-width,\n",
" initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
" <style>\n",
" #map_f1ce6eb921b4d7b11d49de3df8093d9e {\n",
" position: relative;\n",
" width: 100.0%;\n",
" height: 100.0%;\n",
" left: 0.0%;\n",
" top: 0.0%;\n",
" }\n",
" .leaflet-container { font-size: 1rem; }\n",
" </style>\n",
" \n",
" <script src="https://cdn.jsdelivr.net/npm/leaflet.fullscreen@3.0.0/Control.FullScreen.min.js"></script>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet.fullscreen@3.0.0/Control.FullScreen.css"/>\n",
" <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.js"></script>\n",
" <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.css"/>\n",
" <script src="https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.js"></script>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.css"/>\n",
" <script src="https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.js"></script>\n",
" <link rel="stylesheet" href="https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.css"/>\n",
"</head>\n",
"<body>\n",
" \n",
" \n",
" <div class="folium-map" id="map_f1ce6eb921b4d7b11d49de3df8093d9e" ></div>\n",
" \n",
"</body>\n",
"<script>\n",
" \n",
" \n",
" var map_f1ce6eb921b4d7b11d49de3df8093d9e = L.map(\n",
" "map_f1ce6eb921b4d7b11d49de3df8093d9e",\n",
" {\n",
" center: [20.0, 0.0],\n",
" crs: L.CRS.EPSG3857,\n",
" zoom: 2,\n",
" zoomControl: true,\n",
" preferCanvas: false,\n",
" drawExport: false,\n",
" layersControl: true,\n",
" }\n",
" );\n",
" L.control.scale().addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
"\n",
" \n",
"\n",
" \n",
" \n",
" var tile_layer_625eed014e405c2ee851b9417f647dec = L.tileLayer(\n",
" "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
" {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 24, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
" );\n",
" \n",
" \n",
" tile_layer_625eed014e405c2ee851b9417f647dec.addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
" \n",
" \n",
" L.control.fullscreen(\n",
" {"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}\n",
" ).addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
" \n",
" \n",
" var options = {\n",
" position: "topleft",\n",
" draw: {},\n",
" edit: {},\n",
" }\n",
" // FeatureGroup is to store editable layers.\n",
" var drawnItems_draw_control_9dd44c4d87fa4af03ae29411df47a757 = new L.featureGroup().addTo(\n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e\n",
" );\n",
" options.edit.featureGroup = drawnItems_draw_control_9dd44c4d87fa4af03ae29411df47a757;\n",
" var draw_control_9dd44c4d87fa4af03ae29411df47a757 = new L.Control.Draw(\n",
" options\n",
" ).addTo( map_f1ce6eb921b4d7b11d49de3df8093d9e );\n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e.on(L.Draw.Event.CREATED, function(e) {\n",
" var layer = e.layer,\n",
" type = e.layerType;\n",
" var coords = JSON.stringify(layer.toGeoJSON());\n",
" layer.on('click', function() {\n",
" alert(coords);\n",
" console.log(coords);\n",
" });\n",
" drawnItems_draw_control_9dd44c4d87fa4af03ae29411df47a757.addLayer(layer);\n",
" });\n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e.on('draw:created', function(e) {\n",
" drawnItems_draw_control_9dd44c4d87fa4af03ae29411df47a757.addLayer(e.layer);\n",
" });\n",
" \n",
" \n",
" \n",
" var measure_control_cd8157b3b01df939f478306bae2624de = new L.Control.Measure(\n",
" {"position": "bottomleft", "primaryAreaUnit": "sqmeters", "primaryLengthUnit": "meters", "secondaryAreaUnit": "acres", "secondaryLengthUnit": "miles"});\n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e.addControl(measure_control_cd8157b3b01df939f478306bae2624de);\n",
"\n",
" // Workaround for using this plugin with Leaflet>=1.8.0\n",
" // https://github.com/ljagis/leaflet-measure/issues/171\n",
" L.Control.Measure.include({\n",
" _setCaptureMarkerIcon: function () {\n",
" // disable autopan\n",
" this._captureMarker.options.autoPanOnFocus = false;\n",
" // default function\n",
" this._captureMarker.setIcon(\n",
" L.divIcon({\n",
" iconSize: this._map.getSize().multiplyBy(2)\n",
" })\n",
" );\n",
" },\n",
" });\n",
"\n",
" \n",
" \n",
"\n",
" var geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2 = {"collapsed": true, "defaultMarkGeocode": true, "position": "topleft", "provider": "nominatim", "providerOptions": {}, "zoom": 11};\n",
"\n",
" // note: geocoder name should start with lowercase\n",
" var geocoderName_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2 = geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2["provider"];\n",
"\n",
" var customGeocoder_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2 = L.Control.Geocoder[ geocoderName_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2 ](\n",
" geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2['providerOptions']\n",
" );\n",
" geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2["geocoder"] = customGeocoder_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2;\n",
"\n",
" L.Control.geocoder(\n",
" geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2\n",
" ).on('markgeocode', function(e) {\n",
" var zoom = geocoderOpts_geocoder_c3c41f24bdc9ab7c647dd5f6e71755d2['zoom'] || map_f1ce6eb921b4d7b11d49de3df8093d9e.getZoom();\n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e.setView(e.geocode.center, zoom);\n",
" }).addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
"\n",
" \n",
" \n",
" map_f1ce6eb921b4d7b11d49de3df8093d9e.fitBounds(\n",
" [[20, 0], [20, 0]],\n",
" {"maxZoom": 2}\n",
" );\n",
" \n",
" \n",
" var macro_element_3831fc723f2cfc11a7f3230a34b4b9f6 = L.tileLayer.wms(\n",
" "https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2016_Land_Cover_L48/wms?",\n",
" {"attribution": "", "format": "image/png", "layers": "NLCD_2016_Land_Cover_L48", "styles": "", "transparent": true, "version": "1.1.1"}\n",
" );\n",
" \n",
" \n",
" macro_element_3831fc723f2cfc11a7f3230a34b4b9f6.addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
" \n",
" \n",
" var layer_control_293101c4cdf231dcd55e9b691be121de_layers = {\n",
" base_layers : {\n",
" "openstreetmap" : tile_layer_625eed014e405c2ee851b9417f647dec,\n",
" },\n",
" overlays : {\n",
" "NLCD 2016 CONUS Land Cover" : macro_element_3831fc723f2cfc11a7f3230a34b4b9f6,\n",
" },\n",
" };\n",
" let layer_control_293101c4cdf231dcd55e9b691be121de = L.control.layers(\n",
" layer_control_293101c4cdf231dcd55e9b691be121de_layers.base_layers,\n",
" layer_control_293101c4cdf231dcd55e9b691be121de_layers.overlays,\n",
" {"autoZIndex": true, "collapsed": true, "position": "topright"}\n",
" ).addTo(map_f1ce6eb921b4d7b11d49de3df8093d9e);\n",
"\n",
" \n",
"</script>\n",
"</html>\" width=\"100%\" height=\"600\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>"
],
"text/plain": [
"<leafmap.foliumap.Map at 0x7f2341d2cca0>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import leafmap as leafmap\n",
"import leafmap.foliumap as leaf_folium\n",
"import leafmap.toolbar\n",
"# import leafmap.toolbar as toolbar\n",
"\n",
"tmp_map = leafmap.Map()\n",
"\n",
"Map = leaf_folium.Map()\n",
"\n",
"url = \"https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2016_Land_Cover_L48/wms?\"\n",
"Map.add_wms_layer(\n",
" url,\n",
" layers=\"NLCD_2016_Land_Cover_L48\",\n",
" name=\"NLCD 2016 CONUS Land Cover\",\n",
" format=\"image/png\",\n",
" transparent=True,\n",
")\n",
"# Map.add_legend(builtin_legend=\"NLCD\", draggable=False)\n",
"Map.sandbox_path = \"/home/patel_zeel/bhuvan\"\n",
"# toolbar.tool_template(Map)\n",
"\n",
"Map.toolbar = tmp_map.toolbar\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from io import BytesIO\n",
"import requests\n",
"\n",
"file_url = \"https://drive.google.com/file/d/1fOujaaj_hJBMJIT-EsFzg6_6I-eFCgVs/view?usp=drivesdk\"\n",
"if isinstance(file_url, str):\n",
" if file_url.startswith(\"https://drive.google.com/file/d/\"):\n",
" ID = file_url.replace(\"https://drive.google.com/file/d/\", \"\").split(\"/\")[0]\n",
" file_url = f\"https://drive.google.com/uc?id={ID}\"\n",
" elif file_url.startswith(\"https://drive.google.com/open?id=\"):\n",
" ID = file_url.replace(\"https://drive.google.com/open?id=\", \"\")\n",
" file_url = f\"https://drive.google.com/uc?id={ID}\"\n",
"\n",
" response = requests.get(file_url)\n",
" bytes_data = BytesIO(response.content)\n",
" string_data = response.text"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import kml2geojson\n",
"if string_data.startswith(\"<?xml\"):\n",
" geojson = kml2geojson.convert(bytes_data)\n",
" features = geojson[0][\"features\"]\n",
" epsg = 4326\n",
" input_gdf = gpd.GeoDataFrame.from_features(features, crs=f\"EPSG:{epsg}\")\n",
"else:\n",
" input_gdf = gpd.read_file(bytes_data)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"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>geometry</th>\n",
" <th>name</th>\n",
" <th>styleUrl</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>POINT Z (73.90178 20.91581 0)</td>\n",
" <td>1</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
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" <th>1</th>\n",
" <td>POINT Z (73.89839 20.91803 0)</td>\n",
" <td>3</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
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" <th>2</th>\n",
" <td>POINT Z (73.89878 20.91578 0)</td>\n",
" <td>2</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>POINT Z (73.90075 20.91961 0)</td>\n",
" <td>4</td>\n",
" <td>#m_ylw-pushpin</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>POLYGON Z ((73.89878 20.91579 0, 73.90179 20.9...</td>\n",
" <td>Polygon Measure</td>\n",
" <td>#inline1</td>\n",
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"</table>\n",
"</div>"
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"text/plain": [
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"3 POINT Z (73.90075 20.91961 0) 4 \n",
"4 POLYGON Z ((73.89878 20.91579 0, 73.90179 20.9... Polygon Measure \n",
"\n",
" styleUrl \n",
"0 #m_ylw-pushpin \n",
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},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_gdf"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from shapely.ops import transform\n",
"\n",
"def shape_3d_to_2d(shape):\n",
" if shape.has_z:\n",
" return transform(lambda x, y, z: (x, y), shape)\n",
" else:\n",
" return shape\n",
"\n",
"def preprocess_gdf(gdf):\n",
" gdf = gdf.to_crs(epsg=7761) # epsg for Gujarat\n",
" gdf[\"geometry\"] = gdf[\"geometry\"].apply(shape_3d_to_2d)\n",
" gdf[\"geometry\"] = gdf.buffer(0) # Fixes some invalid geometries\n",
" return gdf\n",
"input_gdf = preprocess_gdf(input_gdf)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" 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>geometry</th>\n",
" <th>name</th>\n",
" <th>styleUrl</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>POLYGON EMPTY</td>\n",
" <td>1</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>POLYGON EMPTY</td>\n",
" <td>3</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>POLYGON EMPTY</td>\n",
" <td>2</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>POLYGON EMPTY</td>\n",
" <td>4</td>\n",
" <td>#m_ylw-pushpin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>POLYGON ((1262518.164 840333.056, 1262472.46 8...</td>\n",
" <td>Polygon Measure</td>\n",
" <td>#inline1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
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"\n",
" styleUrl \n",
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]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_gdf"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_850691/2543908025.py:3: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n",
"/tmp/ipykernel_850691/2543908025.py:3: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n",
"/tmp/ipykernel_850691/2543908025.py:3: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n",
"/tmp/ipykernel_850691/2543908025.py:3: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n",
"/tmp/ipykernel_850691/2543908025.py:3: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n"
]
}
],
"source": [
"def is_valid_polygon(geometry_gdf):\n",
" geometry = geometry_gdf.geometry.item()\n",
" return (geometry.type == \"Polygon\") and (not geometry.is_empty)\n",
"\n",
"for i in range(len(input_gdf)):\n",
" geometry_gdf = input_gdf[input_gdf.index == i]\n",
" if is_valid_polygon(geometry_gdf):\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"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>geometry</th>\n",
" <th>name</th>\n",
" <th>styleUrl</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>POLYGON ((1262518.164 840333.056, 1262472.46 8...</td>\n",
" <td>Polygon Measure</td>\n",
" <td>#inline1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" geometry name \\\n",
"4 POLYGON ((1262518.164 840333.056, 1262472.46 8... Polygon Measure \n",
"\n",
" styleUrl \n",
"4 #inline1 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geometry_gdf"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import geopandas as gpd\n",
"from tqdm.notebook import tqdm\n",
"from joblib import Parallel, delayed"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e90c443ceec74b3e9bf223587db76898",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/15 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://drive.google.com/open?id=1skBV8miaZN3gE2lPVnHQQG-n-RwbMH2d has 5 geometries\n",
"https://drive.google.com/open?id=12OJzdi0RE5BDdMHzBovnYK_QhC5jIiSy has 6 geometries\n",
"https://drive.google.com/open?id=1lge4nZKw7gxuDbQtM_v7D8eBHzUsLoBI has 3 geometries\n"
]
}
],
"source": [
"files = \"\"\"https://drive.google.com/open?id=1QHbcxHRw3EQWsw5-UN6AUnVI-bhmhCQ5\n",
"https://drive.google.com/open?id=1skBV8miaZN3gE2lPVnHQQG-n-RwbMH2d\n",
"https://drive.google.com/open?id=1jyG_D6UudyAgicZjsvEfNLT_vNK1G3EB\n",
"https://drive.google.com/open?id=1NxO399MvzufeT6-xigq3qi79psA40rkQ\n",
"https://drive.google.com/open?id=1P2ZPMsxX82P12m460EBjpYMrdXUkZ05l\n",
"https://drive.google.com/open?id=1Pc4sIYbRcu761fuXV5HVDG3EaqQC-uiz\n",
"https://drive.google.com/open?id=1xskOyh888HrxCrB0Ue9bNGG6r1CvlH3J\n",
"https://drive.google.com/open?id=12OJzdi0RE5BDdMHzBovnYK_QhC5jIiSy\n",
"https://drive.google.com/open?id=18bDqdNIZOlp97GHpEOaYsCLSTML--aEA\n",
"https://drive.google.com/open?id=1lge4nZKw7gxuDbQtM_v7D8eBHzUsLoBI\n",
"https://drive.google.com/open?id=1XzzPh1q0uU3eMPoSC5stCLC7r8oMtgok\n",
"https://drive.google.com/open?id=1JGmGCVYjdcUeFVmcoa7LcJE36HH0MGoF\n",
"https://drive.google.com/open?id=1EPp6DZUGFcUESQSeMjQ9famygnWM-3BM\n",
"https://drive.google.com/open?id=1XY7HbmY0fakAaZaxvUFF5UYk7Qovnit2\n",
"https://drive.google.com/open?id=1VSVOpw9TFAxPKClHGPFXI_anBSHZOIi-\"\"\"\n",
"\n",
"df = pd.DataFrame(columns=['Failed URL', '# of geometries'])\n",
"i = 0\n",
"def get_gdf(link):\n",
" link = link.strip()\n",
" original_link = link\n",
" if link.startswith('https://drive.google.com/open?id='):\n",
" link = 'https://drive.google.com/uc?id=' + link.split('=')[-1]\n",
" gdf = gpd.read_file(link)\n",
" if len(gdf) != 1:\n",
" print(f\"{original_link} has {len(gdf)} geometries\")\n",
" # df.loc[i, ['Failed URL', '# of geometries']] = [original_link, len(gdf)]\n",
" # i += 1\n",
" \n",
"# df.to_csv('failed_links.csv', index=False)\n",
"_ = Parallel(n_jobs=32)(delayed(get_gdf)(link) for link in tqdm(files.split('\\n')))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "zeel_py310",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.15"
}
},
"nbformat": 4,
"nbformat_minor": 2
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|