title: Which geopandas datasets (maps) are available?
body: <p>I just created a very simple geopandas example (see below). It works, but I noticed that it is important for me to be able to have a custom part of the world. Sometimes Germany and sometimes only Berlin. (Also, I want to aggregate the data I have by areas which I define as polygons in a geopandas file, but I'll add this in another question.)</p>
  
  <p>How can I get a different "base map" than</p>
  
  <pre><code>world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
  </code></pre>
  
  <p>for visualizations?</p>
  
  <h2>Example</h2>
  
  <pre><code># 3rd party modules
  import pandas as pd
  import geopandas as gpd
  import shapely
  # needs 'descartes'
  
  import matplotlib.pyplot as plt
  
  df = pd.DataFrame({'city': ['Berlin', 'Paris', 'Munich'],
                     'latitude': [52.518611111111, 48.856666666667, 48.137222222222],
                     'longitude': [13.408333333333, 2.3516666666667, 11.575555555556]})
  gdf = gpd.GeoDataFrame(df.drop(['latitude', 'longitude'], axis=1),
                         crs={'init': 'epsg:4326'},
                         geometry=[shapely.geometry.Point(xy)
                                   for xy in zip(df.longitude, df.latitude)])
  print(gdf)
  
  world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
  base = world.plot(color='white', edgecolor='black')
  gdf.plot(ax=base, marker='o', color='red', markersize=5)
  
  plt.show()
  </code></pre>