Re-projecting is the process of changing the representation of locations from one coordinate system to another. All projections of locations on the Earth into a two-dimensional plane are distortions, the projection that is best for your application may be different from the projection associated with the data you import. In these cases, data can be re-projected using the GeoDataFrame.to_crs() command:

重新投影是将位置表示从一个坐标系更改为另一个坐标系的过程。将地球上的位置投影到二维平面中的所有投影都是扭曲的，最适合您的应用程序的投影可能与您导入的数据关联的投影不同。在这些情况下，可以使用 GeoDataFrame.to_crs() 命令重新投影数据：

# load example data
In [1]: world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))

# Check original projection
# (it's Plate Carrée! x-y are long and lat)
In [2]: world.crs
Out[2]: 
<Geographic 2D CRS: EPSG:4326>
Name: WGS 84
Axis Info [ellipsoidal]:
- Lat[north]: Geodetic latitude (degree)
- Lon[east]: Geodetic longitude (degree)
Area of Use:
- name: World.
- bounds: (-180.0, -90.0, 180.0, 90.0)
Datum: World Geodetic System 1984 ensemble
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich

# Visualize
In [3]: ax = world.plot()

In [4]: ax.set_title("WGS84 (lat/lon)");

# Reproject to Mercator (after dropping Antartica)
In [5]: world = world[(world.name != "Antarctica") & (world.name != "Fr. S. Antarctic Lands")]

In [6]: world = world.to_crs("EPSG:3395") # world.to_crs(epsg=3395) would also work

In [7]: ax = world.plot()

In [8]: ax.set_title("Mercator");