{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#                                        GeoData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyleaflet as ipy \n",
    "import geopandas \n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = ipy.Map(center=(52.3,8.0), zoom = 3, basemap= ipy.basemaps.Esri.WorldTopoMap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "countries = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))\n",
    "cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))\n",
    "rivers = geopandas.read_file(\"https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/physical/ne_10m_rivers_lake_centerlines.zip\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GeoDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "countries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_data = ipy.GeoData(geo_dataframe = countries,\n",
    "                       style={'color': 'black', 'fillColor': '#3366cc', 'opacity':0.05, 'weight':1.9, 'dashArray':'2', 'fillOpacity':0.6},\n",
    "                       hover_style={'fillColor': 'red' , 'fillOpacity': 0.2},\n",
    "                       name = 'Countries')\n",
    "m.add_layer(geo_data)\n",
    "m.add_control(ipy.LayersControl())\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rivers_data = ipy.GeoData(geo_dataframe = rivers,\n",
    "                       style={'color': 'purple', 'opacity':3, 'weight':1.9, 'dashArray':'2', 'fillOpacity':0.6},\n",
    "                       hover_style={'fillColor': 'red' , 'fillOpacity': 0.2},\n",
    "                       name = 'Rivers')\n",
    "m.add_layer(rivers_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#geo_data.geo_dataframe = cities "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#m.remove_layer(geo_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Continent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "africa_countries = countries[countries['continent'] == 'Africa']\n",
    "africa_countries.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "africa_data = ipy.GeoData(geo_dataframe = africa_countries,\n",
    "                          style={'color': 'black', 'fillColor': 'red', 'opacity':7, 'weight':1.9, 'dashArray':'7', 'fillOpacity':0.2},\n",
    "                          hover_style={'fillColor': 'grey', 'fillOpacity': 0.6},\n",
    "                          name = 'Africa')\n",
    "m.add_layer(africa_data)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#m.remove_layer(africa_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.add_control(ipy.FullScreenControl())"
   ]
  }
 ],
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