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@rutgerhofste
Created November 10, 2017 11:45
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Geopandas and Cartopy question
{
"cells": [
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import cartopy.crs as ccrs\n",
"import numpy as np\n",
"from cartopy.io.shapereader import Reader\n",
"from cartopy.feature import ShapelyFeature\n",
"import geopandas as gpd"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fname = \"/volumes/repos/Aqueduct30Docker/notebooks/testing/samplefiles/testShape.shp\""
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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dunWDr69vvcZ5//49rK2tsWDBAkyYMKFeY0hISOD8+fPo2rUr1NXVERISUq9xiOgwNDSE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\nz9aqVasyvY8PJQ4Am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"text/plain": [
"<matplotlib.figure.Figure at 0x7f3bb9fc9668>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Using Cartopy\n",
"\n",
"fig = plt.figure(figsize=(20, 100))\n",
"shape_feature = ShapelyFeature(Reader(fname).geometries(),\n",
" ccrs.PlateCarree(), facecolor='blue',edgecolor='red')\n",
"ax = plt.axes(projection=ccrs.Robinson())\n",
"extents = [-20,20,30,40]\n",
"ax.add_feature(shape_feature)\n",
"ax.coastlines(resolution='50m')\n",
"ax.set_extent(extents, crs=None)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f3bba00fdd8>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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dH/zpRKREKVU41HF6AZGHwly706TGRnDfV6adePzO8/J55P19PPXJQaNC8yvj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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f3bb9f9d748>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Using Geopandas\n",
"gdf = gpd.read_file(fname)\n",
"gdf.plot()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"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>PFAF_ID</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>231401</td>\n",
" <td>POLYGON ((-7.399999999999979 37.17500000000003...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>231500</td>\n",
" <td>(POLYGON ((-8.734722222222196 38.5000000000000...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PFAF_ID geometry\n",
"0 231401 POLYGON ((-7.399999999999979 37.17500000000003...\n",
"1 231500 (POLYGON ((-8.734722222222196 38.5000000000000..."
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 POLYGON ((-7.399999999999979 37.17500000000003...\n",
"1 (POLYGON ((-8.734722222222196 38.5000000000000...\n",
"Name: geometry, dtype: object\n"
]
},
{
"data": {
"text/plain": [
"\"\\nax = plt.axes(projection=ccrs.Robinson())\\nextents = [-20,20,30,40]\\nax.add_feature(shape_feature)\\nax.coastlines(resolution='50m')\\nax.set_extent(extents, crs=None)\\n\""
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x7f3bbc26e780>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# using a Combination of Cartopy and Geopandas? \n",
"\n",
"fig = plt.figure(figsize=(20, 100))\n",
"gdf = gpd.read_file(fname)\n",
"\n",
"gdf = gpd.read_file(fname)\n",
"\n",
"# PSEUDOCODE\n",
"ax = plt.axes(projection=ccrs.Robinson())\n",
"ax.addFeature(gdf)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 35 Cartopy",
"language": "python",
"name": "python35cartopy"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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