geopandas provides a high-level interface to the matplotlib library for making maps. Mapping shapes is as easy as using the plot() method on a GeoSeries or GeoDataFrame.
geopandas为matplotlib库提供了一个制作地图的高级接口。在GeoSeries或GeoDataFrame上使用plot()方法可以很容易的绘制图形。
Loading some example data:
In [1]: world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
In [2]: cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))We can now plot those GeoDataFrames:
# Examine country GeoDataFrame
In [3]: world.head()
Out[3]:
pop_est ... geometry
0 889953.0 ... MULTIPOLYGON (((180.000000000 -16.067132664, 1...
1 58005463.0 ... POLYGON ((33.903711197 -0.950000000, 34.072620...
2 603253.0 ... POLYGON ((-8.665589565 27.656425890, -8.665124...
3 37589262.0 ... MULTIPOLYGON (((-122.840000000 49.000000000, -...
4 328239523.0 ... MULTIPOLYGON (((-122.840000000 49.000000000, -...
[5 rows x 6 columns]
# Basic plot, random colors
In [4]: world.plot();
Note that in general, any options one can pass to pyplot in matplotlib (or style options that work for lines) can be passed to the plot() method.
注意，一般来说，在matplotlib中可以传递给pyplot的任何选项（或者对线条有效的样式选项）都可以传递给plot()方法。