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scottyhq/sliderule-3dcrs-miniexample.ipynb

Created August 10, 2023 22:01
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icesat2 hackweek 2023 geopandas
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sliderule-3dcrs-miniexample.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "0a2951e5-1e9f-4338-867f-79f93de9c0d3",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# NOTE: REQUIRES PROJ>=9.2 and GEOPANDAS>=0.13\n",
"\n",
"#!pip install geopandas==0.13"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "aff6d69e-07f9-4b6c-87d5-5ca7a13c08d0",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ON\n"
]
}
],
"source": [
"import os\n",
"os.environ['USE_PYGEOS'] = '0'\n",
"os.environ['PROJ_DEBUG'] = '2' # For showing logs\n",
"#os.environ['PROJ_NETWORK'] = 'ON' # Ensure this is 'ON' to get shift grids over the internet\n",
"print(os.environ['PROJ_NETWORK']) \n",
"\n",
"import fiona\n",
"import geopandas as gpd\n",
"import shapely"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a2078edc-442b-4ee2-be8a-fd6f47ed0743",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"SYSTEM INFO\n",
"-----------\n",
"python : 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0]\n",
"executable : /srv/conda/envs/notebook/bin/python\n",
"machine : Linux-5.10.167-147.601.amzn2.x86_64-x86_64-with-glibc2.27\n",
"\n",
"GEOS, GDAL, PROJ INFO\n",
"---------------------\n",
"GEOS : 3.11.2\n",
"GEOS lib : None\n",
"GDAL : 3.7.0\n",
"GDAL data dir: /srv/conda/envs/notebook/share/gdal\n",
"PROJ : 9.2.1\n",
"PROJ data dir: /srv/conda/envs/notebook/share/proj\n",
"\n",
"PYTHON DEPENDENCIES\n",
"-------------------\n",
"geopandas : 0.13.0\n",
"numpy : 1.23.5\n",
"pandas : 1.5.1\n",
"pyproj : 3.6.0\n",
"shapely : 2.0.1\n",
"fiona : 1.9.4\n",
"geoalchemy2: None\n",
"geopy : None\n",
"matplotlib : 3.6.2\n",
"mapclassify: 2.5.0\n",
"pygeos : 0.14\n",
"pyogrio : None\n",
"psycopg2 : 2.9.6 (dt dec pq3 ext lo64)\n",
"pyarrow : 12.0.1\n",
"rtree : 1.0.1\n"
]
}
],
"source": [
"gpd.show_versions()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "f4c5d69c-7a9b-48e3-a79e-13addc10ff35",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# from slidrule single granule, default parameters\n",
"#gf = icesat2.atl06p({}, resources=['ATL03_20181019224323_03250112_005_01.h5'])\n",
"gf = gpd.read_file('sliderule-output.gpkg',\n",
" rows=100) "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "20851bf4-27e5-4b53-a82d-610844621713",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0 POINT (-100.63246 -78.98922)\n",
"1 POINT (-100.63265 -78.98904)\n",
"Name: geometry, dtype: geometry"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gf.geometry.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "18957036-0c63-4c6d-b7ba-92d33d66c8ac",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_2695/4052444587.py:3: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
" points.loc[:, 'time'] = points.time.dt.strftime('%Y-%m-%d')\n"
]
},
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
"&lt;html&gt;\n",
"&lt;head&gt;\n",
" \n",
" &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
" \n",
" &lt;script&gt;\n",
" L_NO_TOUCH = false;\n",
" L_DISABLE_3D = false;\n",
" &lt;/script&gt;\n",
" \n",
" &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
" &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
" &lt;script src=&quot;https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
" &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
" &lt;script src=&quot;https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
" &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/[email protected]/dist/leaflet.css&quot;/&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css&quot;/&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css&quot;/&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
" \n",
" &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
" initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
" &lt;style&gt;\n",
" #map_8366bb0414240e77d3544f24a5d8ceb1 {\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",
" &lt;/style&gt;\n",
" \n",
" \n",
" &lt;style&gt;\n",
" .foliumtooltip {\n",
" \n",
" }\n",
" .foliumtooltip table{\n",
" margin: auto;\n",
" }\n",
" .foliumtooltip tr{\n",
" text-align: left;\n",
" }\n",
" .foliumtooltip th{\n",
" padding: 2px; padding-right: 8px;\n",
" }\n",
" &lt;/style&gt;\n",
" \n",
"&lt;/head&gt;\n",
"&lt;body&gt;\n",
" \n",
" \n",
" &lt;div class=&quot;folium-map&quot; id=&quot;map_8366bb0414240e77d3544f24a5d8ceb1&quot; &gt;&lt;/div&gt;\n",
" \n",
"&lt;/body&gt;\n",
"&lt;script&gt;\n",
" \n",
" \n",
" var map_8366bb0414240e77d3544f24a5d8ceb1 = L.map(\n",
" &quot;map_8366bb0414240e77d3544f24a5d8ceb1&quot;,\n",
" {\n",
" center: [-78.99172577412558, -100.7896232307395],\n",
" crs: L.CRS.EPSG3857,\n",
" zoom: 10,\n",
" zoomControl: true,\n",
" preferCanvas: false,\n",
" }\n",
" );\n",
" L.control.scale().addTo(map_8366bb0414240e77d3544f24a5d8ceb1);\n",
"\n",
" \n",
"\n",
" \n",
" \n",
" var tile_layer_a06b64598dd95de7331cf01f01c72ffe = L.tileLayer(\n",
" &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
" {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
" ).addTo(map_8366bb0414240e77d3544f24a5d8ceb1);\n",
" \n",
" \n",
" map_8366bb0414240e77d3544f24a5d8ceb1.fitBounds(\n",
" [[-79.00104942913823, -100.94678306984892], [-78.98240211911293, -100.63246339163007]],\n",
" {}\n",
" );\n",
" \n",
" \n",
" function geo_json_617164272ebf824d35c18b195035293f_styler(feature) {\n",
" switch(feature.id) {\n",
" default:\n",
" return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
" }\n",
" }\n",
" function geo_json_617164272ebf824d35c18b195035293f_highlighter(feature) {\n",
" switch(feature.id) {\n",
" default:\n",
" return {&quot;fillOpacity&quot;: 0.75};\n",
" }\n",
" }\n",
" function geo_json_617164272ebf824d35c18b195035293f_pointToLayer(feature, latlng) {\n",
" var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
" \n",
" let style = geo_json_617164272ebf824d35c18b195035293f_styler(feature)\n",
" Object.assign(opts, style)\n",
" \n",
" return new L.CircleMarker(latlng, opts)\n",
" }\n",
"\n",
" function geo_json_617164272ebf824d35c18b195035293f_onEachFeature(feature, layer) {\n",
" layer.on({\n",
" mouseout: function(e) {\n",
" if(typeof e.target.setStyle === &quot;function&quot;){\n",
" geo_json_617164272ebf824d35c18b195035293f.resetStyle(e.target);\n",
" }\n",
" },\n",
" mouseover: function(e) {\n",
" if(typeof e.target.setStyle === &quot;function&quot;){\n",
" const highlightStyle = geo_json_617164272ebf824d35c18b195035293f_highlighter(e.target.feature)\n",
" e.target.setStyle(highlightStyle);\n",
" }\n",
" },\n",
" });\n",
" };\n",
" var geo_json_617164272ebf824d35c18b195035293f = L.geoJson(null, {\n",
" onEachFeature: geo_json_617164272ebf824d35c18b195035293f_onEachFeature,\n",
" \n",
" style: geo_json_617164272ebf824d35c18b195035293f_styler,\n",
" pointToLayer: geo_json_617164272ebf824d35c18b195035293f_pointToLayer\n",
" });\n",
"\n",
" function geo_json_617164272ebf824d35c18b195035293f_add (data) {\n",
" geo_json_617164272ebf824d35c18b195035293f\n",
" .addData(data)\n",
" .addTo(map_8366bb0414240e77d3544f24a5d8ceb1);\n",
" }\n",
" geo_json_617164272ebf824d35c18b195035293f_add({&quot;bbox&quot;: [-100.94678306984892, -79.00104942913823, -100.63246339163007, -78.98240211911293], &quot;features&quot;: [{&quot;bbox&quot;: [-100.63246339163007, -78.98921540514897, -100.63246339163007, -78.98921540514897], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63246339163007, -78.98921540514897], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.010870090490449251, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318165.597002406, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.2172759600721, &quot;h_sigma&quot;: 0.06681861493225781, &quot;index&quot;: 0, &quot;n_fit_photons&quot;: 85, &quot;pflags&quot;: 4, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.6123660041359527, &quot;segment_id&quot;: 1565343, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 5.361178154641397}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.63264780169405, -78.98904067650072, -100.63264780169405, -78.98904067650072], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63264780169405, -78.98904067650072], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.0011063828145405745, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318185.49600201, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.3668984219225, &quot;h_sigma&quot;: 0.03348806441098648, &quot;index&quot;: 1, &quot;n_fit_photons&quot;: 64, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.2618516925056621, &quot;segment_id&quot;: 1565344, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 4.32712149857403}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.63283317956532, -78.98886598730077, -100.63283317956532, -78.98886598730077], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63283317956532, -78.98886598730077], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.020058689100974306, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318205.395001765, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.2522535069245, &quot;h_sigma&quot;: 0.06875128723901988, &quot;index&quot;: 2, &quot;n_fit_photons&quot;: 47, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.29810067949800356, &quot;segment_id&quot;: 1565345, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0625393981159528}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.63302050675973, -78.9886913739691, -100.63302050675973, -78.9886913739691], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63302050675973, -78.9886913739691], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.002709077806056982, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318225.29400167, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.5041817571055, &quot;h_sigma&quot;: 0.020000326170482034, &quot;index&quot;: 3, &quot;n_fit_photons&quot;: 86, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.18224103535297453, &quot;segment_id&quot;: 1565346, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.63320809674873, -78.988516768308, -100.63320809674873, -78.988516768308], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63320809674873, -78.988516768308], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: -0.0008054574414121906, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318245.19300172, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.5264100114541, &quot;h_sigma&quot;: 0.02722500758751929, &quot;index&quot;: 4, &quot;n_fit_photons&quot;: 100, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.27177678343134465, &quot;segment_id&quot;: 1565347, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.63339585229686, -78.9883421712285, -100.63339585229686, -78.9883421712285], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.63339585229686, -78.9883421712285], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.0001297665120547375, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318265.092001922, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.564067193102, &quot;h_sigma&quot;: 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&quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: -0.006443081948132504, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318921.759092234, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.8117113884512, &quot;h_sigma&quot;: 0.03171404330804392, &quot;index&quot;: 95, &quot;n_fit_photons&quot;: 88, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.29729394948791193, &quot;segment_id&quot;: 1565381, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.94660208212215, -78.99667783389975, -100.94660208212215, -78.99667783389975], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.94660208212215, -78.99667783389975], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;96&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.062059165892559436, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318663.072037265, &quot;gt&quot;: 10, &quot;h_mean&quot;: 1871.0069817810402, &quot;h_sigma&quot;: 0.13589371159410515, &quot;index&quot;: 96, &quot;n_fit_photons&quot;: 25, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.5010211217118069, &quot;segment_id&quot;: 1565368, &quot;spot&quot;: 6, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.4493517012761963}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.7930448654226, -78.98957865183182, -100.7930448654226, -78.98957865183182], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.7930448654226, -78.98957865183182], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;97&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: 0.006728857799350986, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318802.365063734, &quot;gt&quot;: 30, &quot;h_mean&quot;: 1875.209336129865, &quot;h_sigma&quot;: 0.0, &quot;index&quot;: 97, &quot;n_fit_photons&quot;: 200, &quot;pflags&quot;: 2, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.0, &quot;segment_id&quot;: 1565375, &quot;spot&quot;: 4, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.6396815562078, -78.98240211911293, -100.6396815562078, -78.98240211911293], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.6396815562078, -78.98240211911293], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;98&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: -0.0017539921477270407, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318941.658097506, &quot;gt&quot;: 50, &quot;h_mean&quot;: 1875.7605125634502, &quot;h_sigma&quot;: 0.030065908325334036, &quot;index&quot;: 98, &quot;n_fit_photons&quot;: 91, &quot;pflags&quot;: 0, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.28650359319263563, &quot;segment_id&quot;: 1565382, &quot;spot&quot;: 2, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-100.94678306984892, -78.99650299624977, -100.94678306984892, -78.99650299624977], &quot;geometry&quot;: {&quot;coordinates&quot;: [-100.94678306984892, -78.99650299624977], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;99&quot;, &quot;properties&quot;: {&quot;cycle&quot;: 1, &quot;dh_fit_dx&quot;: -0.03415061432999793, &quot;dh_fit_dy&quot;: 0.0, &quot;distance&quot;: 31318682.9710406, &quot;gt&quot;: 10, &quot;h_mean&quot;: 1870.229100068489, &quot;h_sigma&quot;: 0.09669085009589629, &quot;index&quot;: 99, &quot;n_fit_photons&quot;: 28, &quot;pflags&quot;: 4, &quot;rgt&quot;: 325, &quot;rms_misfit&quot;: 0.5036232303623501, &quot;segment_id&quot;: 1565369, &quot;spot&quot;: 6, &quot;time&quot;: &quot;2018-10-19&quot;, &quot;w_surface_window_final&quot;: 3.0}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
"\n",
" \n",
" \n",
" geo_json_617164272ebf824d35c18b195035293f.bindTooltip(\n",
" function(layer){\n",
" let div = L.DomUtil.create(&#x27;div&#x27;);\n",
" \n",
" let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
" let fields = [&quot;index&quot;, &quot;time&quot;, &quot;rgt&quot;, &quot;rms_misfit&quot;, &quot;dh_fit_dy&quot;, &quot;pflags&quot;, &quot;h_sigma&quot;, &quot;h_mean&quot;, &quot;dh_fit_dx&quot;, &quot;cycle&quot;, &quot;segment_id&quot;, &quot;gt&quot;, &quot;distance&quot;, &quot;w_surface_window_final&quot;, &quot;spot&quot;, &quot;n_fit_photons&quot;];\n",
" let aliases = [&quot;index&quot;, &quot;time&quot;, &quot;rgt&quot;, &quot;rms_misfit&quot;, &quot;dh_fit_dy&quot;, &quot;pflags&quot;, &quot;h_sigma&quot;, &quot;h_mean&quot;, &quot;dh_fit_dx&quot;, &quot;cycle&quot;, &quot;segment_id&quot;, &quot;gt&quot;, &quot;distance&quot;, &quot;w_surface_window_final&quot;, &quot;spot&quot;, &quot;n_fit_photons&quot;];\n",
" let table = &#x27;&lt;table&gt;&#x27; +\n",
" String(\n",
" fields.map(\n",
" (v,i)=&gt;\n",
" `&lt;tr&gt;\n",
" &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
" \n",
" &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
" &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
" +&#x27;&lt;/table&gt;&#x27;;\n",
" div.innerHTML=table;\n",
" \n",
" return div\n",
" }\n",
" ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
" \n",
"&lt;/script&gt;\n",
"&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f535b702b90>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Always check wehere you data is!\n",
"points = gf.reset_index()\n",
"points.loc[:, 'time'] = points.time.dt.strftime('%Y-%m-%d')\n",
"points.explore()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "46d8f194-ae4e-44d8-b0c7-6f820ed6d5d3",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-100.94678306984892 -79.00104942913823 -100.63246339163007 -78.98240211911293\n"
]
}
],
"source": [
"# Get bounding box of all of our points\n",
"w,s,e,n = gf.unary_union.bounds #W, S, E, N\n",
"print(w,s,e,n)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e02040c2-aa7d-4962-affc-fc6430e76aae",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"pj_open_lib(proj.ini): call fopen(/srv/conda/envs/notebook/share/proj/proj.ini) - succeeded\n",
"pj_open_lib(proj.db): call fopen(/srv/conda/envs/notebook/share/proj/proj.db) - succeeded\n",
"pj_open_lib(us_noaa_nadcon5_nad27_nad83_1986_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_nadcon5_nad27_nad83_1986_conus.tif) - failed\n",
"pj_open_lib(proj.db): call fopen(/srv/conda/envs/notebook/share/proj/proj.db) - succeeded\n",
"pj_open_lib(us_noaa_nadcon5_nad83_1986_nad83_harn_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_nadcon5_nad83_1986_nad83_harn_conus.tif) - failed\n",
"pj_open_lib(us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif) - failed\n",
"pj_open_lib(us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif) - failed\n",
"pj_open_lib(us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif) - failed\n",
"pj_open_lib(us_noaa_alhpgn.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_alhpgn.tif) - failed\n",
"pj_open_lib(alhpgn.gsb): call fopen(/srv/conda/envs/notebook/share/proj/alhpgn.gsb) - failed\n",
"pj_open_lib(us_noaa_conus.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_conus.tif) - failed\n",
"pj_open_lib(conus): call fopen(/srv/conda/envs/notebook/share/proj/conus) - failed\n",
"pj_open_lib(us_noaa_FL.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_FL.tif) - failed\n",
"pj_open_lib(FL): call fopen(/srv/conda/envs/notebook/share/proj/FL) - failed\n",
"pj_open_lib(us_noaa_lahpgn.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_lahpgn.tif) - failed\n",
"pj_open_lib(lahpgn.gsb): call fopen(/srv/conda/envs/notebook/share/proj/lahpgn.gsb) - failed\n",
"pj_open_lib(us_noaa_mshpgn.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_mshpgn.tif) - failed\n",
"pj_open_lib(mshpgn.gsb): call fopen(/srv/conda/envs/notebook/share/proj/mshpgn.gsb) - failed\n",
"pj_open_lib(us_noaa_ethpgn.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_noaa_ethpgn.tif) - failed\n",
"pj_open_lib(ethpgn.gsb): call fopen(/srv/conda/envs/notebook/share/proj/ethpgn.gsb) - failed\n",
"pj_open_lib(au_icsm_GDA94_GDA2020_conformal_and_distortion.tif): call fopen(/srv/conda/envs/notebook/share/proj/au_icsm_GDA94_GDA2020_conformal_and_distortion.tif) - failed\n",
"pj_open_lib(GDA94_GDA2020_conformal_and_distortion.gsb): call fopen(/srv/conda/envs/notebook/share/proj/GDA94_GDA2020_conformal_and_distortion.gsb) - failed\n",
"pj_open_lib(eur_nkg_nkgrf17vel.tif): call fopen(/srv/conda/envs/notebook/share/proj/eur_nkg_nkgrf17vel.tif) - failed\n",
"pj_open_lib(no_kv_NKGETRF14_EPSG7922_2000.tif): call fopen(/srv/conda/envs/notebook/share/proj/no_kv_NKGETRF14_EPSG7922_2000.tif) - failed\n",
"pj_open_lib(Und_min1x1_egm2008_isw=82_WGS84_TideFree.gz): call fopen(/srv/conda/envs/notebook/share/proj/Und_min1x1_egm2008_isw=82_WGS84_TideFree.gz) - failed\n",
"pj_open_lib(us_nga_egm08_25.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm08_25.tif) - failed\n",
"pj_open_lib(egm08_25.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm08_25.gtx) - failed\n",
"pj_open_lib(us_nga_egm08_25.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm08_25.tif) - failed\n",
"pj_open_lib(egm08_25.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm08_25.gtx) - failed\n",
"Using https://cdn.proj.org/us_nga_egm08_25.tif\n",
"Candidate operations found: 1\n",
"-------------------------------------\n",
"Operation No. 1:\n",
"\n",
"pj_open_lib(us_nga_egm08_25.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm08_25.tif) - failed\n",
"pj_open_lib(egm08_25.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm08_25.gtx) - failed\n",
"Using https://cdn.proj.org/us_nga_egm08_25.tif\n",
"unknown id, Inverse of Conversion from ITRF2014 (geocentric) to ITRF2014 (geog3D) + Inverse of WGS 84 (G2139) to ITRF2014 (1) + Inverse of Conversion from WGS 84 (G2139) (geog2D) to WGS 84 (G2139) (geocentric) + Inverse of WGS 84 to WGS 84 (G2139) + Inverse of Null geographic offset from WGS 84 (geog3D) to WGS 84 (geog2D) + WGS 84 to EGM2008 height (1), 3.01 m, World\n",
"\n",
"PROJ string:\n",
"+proj=pipeline\n",
" +step +proj=axisswap +order=2,1\n",
" +step +proj=unitconvert +xy_in=deg +xy_out=rad\n",
" +step +inv +proj=vgridshift +grids=us_nga_egm08_25.tif +multiplier=1\n",
" +step +proj=unitconvert +xy_in=rad +xy_out=deg\n",
" +step +proj=axisswap +order=2,1\n"
]
}
],
"source": [
"#!projinfo -s EPSG:7912 -t EPSG:9518 -o PROJ --hide-ballpark --spatial-test intersects\n",
"!projinfo -s EPSG:7912 -t EPSG:9518 -o PROJ --bbox {w},{s},{e},{n} --hide-ballpark --spatial-test intersects"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4006bcc0-14dd-4bbd-aa8f-9e37df3ff1fc",
"metadata": {
"tags": []
},
"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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>POINT Z (-100.63246 -78.98922 1875.21728)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>POINT Z (-100.63265 -78.98904 1875.36690)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" geometry\n",
"0 POINT Z (-100.63246 -78.98922 1875.21728)\n",
"1 POINT Z (-100.63265 -78.98904 1875.36690)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# NOTE: only vshift so only expect vertical coordinate change\n",
"points3D = gpd.points_from_xy(gf.geometry.x, gf.geometry.y, gf.h_mean)\n",
"gf3D = gpd.GeoDataFrame(geometry=points3D, crs='EPSG:7912')\n",
"gf3D.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "38a740de-3c30-4434-a865-22374c7a7f19",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Geographic 3D CRS: EPSG:7912>\n",
"Name: ITRF2014\n",
"Axis Info [ellipsoidal]:\n",
"- Lat[north]: Geodetic latitude (degree)\n",
"- Lon[east]: Geodetic longitude (degree)\n",
"- h[up]: Ellipsoidal height (metre)\n",
"Area of Use:\n",
"- name: World.\n",
"- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
"Datum: International Terrestrial Reference Frame 2014\n",
"- Ellipsoid: GRS 1980\n",
"- Prime Meridian: Greenwich"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gf3D.crs"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "af6a3674-4552-4242-8a62-5753a0ed1be4",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([[-100.63246339, -78.98921541, 1875.21727596]])"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shapely.get_coordinates(gf3D.iloc[0], include_z=True)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "84ea693d-64b1-463c-889d-2a79295dbaf5",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([[-100.63246339, -78.98921541, 1904.67380708]])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gfGeoid = gf3D.to_crs(epsg=9518)\n",
"shapely.get_coordinates(gfGeoid.iloc[0], include_z=True)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "612f8f95-b2ad-4ef1-8b08-df0b0f37eb6c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#gfGeoid.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "30c8b1dc-da22-4556-8f7b-fec65ff10d3c",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"DEBUG:fiona._env:GDAL_DATA found in environment.\n",
"DEBUG:fiona._env:PROJ_DATA found in environment.\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_g2018u0.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_g2018u0.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(g2018u0.gtx): call fopen(/home/jovyan/.local/share/proj/g2018u0.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_geoid03_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_geoid03_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(geoid03_conus.gtx): call fopen(/home/jovyan/.local/share/proj/geoid03_conus.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_geoid09_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_geoid09_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(geoid09_conus.gtx): call fopen(/home/jovyan/.local/share/proj/geoid09_conus.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_vertconw.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_vertconw.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(vertconw.gtx): call fopen(/home/jovyan/.local/share/proj/vertconw.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_g1999u01.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_g1999u01.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(g1999u01.gtx): call fopen(/home/jovyan/.local/share/proj/g1999u01.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_g2018u0.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_g2018u0.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(g2018u0.gtx): call fopen(/home/jovyan/.local/share/proj/g2018u0.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_g2018u0.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_1993_nad83_1997_prvi.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_1993_nad83_1997_prvi.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_1997_nad83_2002_prvi.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_1997_nad83_2002_prvi.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_nadcon5_nad83_2007_nad83_2011_conus.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_nadcon5_nad83_fbn_nad83_2007_conus.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_nadcon5_nad83_harn_nad83_fbn_conus.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_geoid03_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_geoid03_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(geoid03_conus.gtx): call fopen(/home/jovyan/.local/share/proj/geoid03_conus.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_geoid03_conus.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_geoid09_conus.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_geoid09_conus.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(geoid09_conus.gtx): call fopen(/home/jovyan/.local/share/proj/geoid09_conus.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_geoid09_conus.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(us_noaa_g1999u01.tif): call fopen(/home/jovyan/.local/share/proj/us_noaa_g1999u01.tif) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: pj_open_lib(g1999u01.gtx): call fopen(/home/jovyan/.local/share/proj/g1999u01.gtx) - failed\n",
"DEBUG:pyproj:PROJ_DEBUG: Using https://cdn.proj.org/us_noaa_g1999u01.tif\n",
"DEBUG:pyproj:PROJ_DEBUG: Using coordinate operation Inverse of Transformation from NAVD88 height to ITRF2014 (ballpark vertical transformation, without ellipsoid height to vertical height correction) + Inverse of Ballpark geographic offset from NAD83(HARN) to ITRF2014 + SPCS83 Washington South zone (US Survey feet)\n"
]
}
],
"source": [
"# SHow debug log\n",
"\n",
"# CAREFUL, geopandas will happily do bogus transforms for you\n",
"\n",
"import logging\n",
"logging.basicConfig(level=logging.DEBUG)\n",
"\n",
"with fiona.Env(CPL_DEBUG=True):\n",
" test = gf3D.to_crs(epsg=\"2927+5703\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "daf65bfc-2dff-4a88-a0dd-d2ef04c1fa76",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"text/plain": [
" geometry\n",
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},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2308788e-9479-450d-b678-dfe000a9a70c",
"metadata": {},
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