poly_point_geoplot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Firstly import geoplot library. \n",
    "Load sample datasets (geojson file) present in geoplot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name '__pysal_choro' from 'geopandas.plotting' (D:\\Users\\USER\\anaconda3\\lib\\site-packages\\geopandas\\plotting.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32mD:\\Users\\USER\\anaconda3\\lib\\site-packages\\geoplot\\geoplot.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 19\u001b[1;33m     \u001b[1;32mfrom\u001b[0m \u001b[0mgeopandas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplotting\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0m_mapclassify_choro\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     20\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mImportError\u001b[0m: cannot import name '_mapclassify_choro' from 'geopandas.plotting' (D:\\Users\\USER\\anaconda3\\lib\\site-packages\\geopandas\\plotting.py)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_18696/2371647536.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mgeoplot\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mgplt\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mgeopandas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mgpd\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'matplotlib'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'inline'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgeopandas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__path__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Users\\USER\\anaconda3\\lib\\site-packages\\geoplot\\__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m from .geoplot import (\n\u001b[0m\u001b[0;32m      2\u001b[0m     \u001b[0mpointplot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpolyplot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mchoropleth\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcartogram\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkdeplot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msankey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvoronoi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mquadtree\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m__version__\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m )\n\u001b[0;32m      4\u001b[0m from .crs import (\n\u001b[0;32m      5\u001b[0m     \u001b[0mPlateCarree\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mLambertCylindrical\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mMercator\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mMiller\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mMollweide\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mRobinson\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mSinusoidal\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Users\\USER\\anaconda3\\lib\\site-packages\\geoplot\\geoplot.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     19\u001b[0m     \u001b[1;32mfrom\u001b[0m \u001b[0mgeopandas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplotting\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0m_mapclassify_choro\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     20\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 21\u001b[1;33m     \u001b[1;32mfrom\u001b[0m \u001b[0mgeopandas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplotting\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0m__pysal_choro\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0m_mapclassify_choro\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     22\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     23\u001b[0m \u001b[0m__version__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"0.3.0\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mImportError\u001b[0m: cannot import name '__pysal_choro' from 'geopandas.plotting' (D:\\Users\\USER\\anaconda3\\lib\\site-packages\\geopandas\\plotting.py)"
     ]
    }
   ],
   "source": [
    "import geoplot as gplt\n",
    "import geopandas as gpd\n",
    "%matplotlib inline\n",
    "\n",
    "print(geopandas.__path__)\n",
    "\n",
    "#reading the world shapefile\n",
    "#path = gplt.datasets.get_path(\"world\")\n",
    "#world = gpd.read_file(path)\n",
    "#gplt.polyplot(world)\n",
    "#usa_cities = gpd.read_file(gplt.datasets.get_path('usa_cities'))\n",
    "#usa_cities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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