import geopandas as gpd
d:\ANACONDA\envs\ox\lib\site-packages\geopandas\_compat.py:111: UserWarning: The Shapely GEOS version (3.10.2-CAPI-1.16.0) is incompatible with the GEOS version PyGEOS was compiled with (3.10.1-CAPI-1.16.0). Conversions between both will be slow.
warnings.warn(
输入数据并投影
jingkai_polygon = gpd.read_file(r'D:/gis_ex10/new_database/控制边界/行政边界_三环.shp')
jingkai_polygon = jingkai_polygon.to_crs("EPSG:2362") #地理坐标系转投影坐标系
jingkai_polygon.plot()
<AxesSubplot:>
jingkai_polygon.crs
<Derived Projected CRS: EPSG:2362>
Name: Xian 1980 / 3-degree Gauss-Kruger zone 38
Axis Info [cartesian]:
- X[north]: Northing (metre)
- Y[east]: Easting (metre)
Area of Use:
- name: China - onshore between 112°30'E and 115°30'E.
- bounds: (112.5, 21.52, 115.5, 45.45)
Coordinate Operation:
- name: 3-degree Gauss-Kruger zone 38
- method: Transverse Mercator
Datum: Xian 1980
- Ellipsoid: IAG 1975
- Prime Meridian: Greenwich
获取质心和边界信息
gdf = jingkai_polygon
gdf["centroid"] = gdf.centroid #取质心
gdf["boundary"] = gdf.boundary #获取边界
gdf["boundary"].plot()
<AxesSubplot:>
缓冲区
gdf["buffered"] = gdf.buffer(2000)
gdf["buffered"].plot()
<AxesSubplot:>
可视化
ax = gdf["buffered"].plot(alpha=.5,figsize = (12,15)) # saving the first plot as an axis and setting alpha (transparency) to 0.5
gdf["boundary"].plot(ax=ax, color="white", linewidth=.5)
gdf["centroid"].plot(ax=ax, color="red", alpha=.5,markersize = 100) # passing the first plot as an axis to the second
<AxesSubplot:>
