我有一个geopandas数据框,其中的geom字段保留了异构的形状数据类型。我想按类型(例如shapely.geometry.Point,shapely.geometry.Polygon,shapely.geometry.MultiPolygon等)对它们进行分组。此任务将通过以下方式完成:
main_gdf_clean['geometry'].groupby(by=shapely.geometry.Point)
是否有可行的方法来完成我正在描述的内容?
GeoSeries.geom_type
按几何类型(df['geometry'].geom_type
)而不是实际几何进行分组。
import geopandas as gpd
from shapely.geometry import Polygon, Point
df = gpd.GeoSeries([Polygon([(1,1), (3,1), (3,3), (1,3)]),
Polygon([(3,3), (5,3), (5,5), (3,5)]),
Point(1,2), Point(2,3), Point(3,3)]).to_frame('geometry')
df = df.set_geometry(col='geometry') # So this example knows geometry
# Broadcast # of unique shapes
df['N_items'] = df.groupby(df['geometry'].geom_type).transform('count')
# geometry N_items
#0 POLYGON ((1.00000 1.00000, 3.00000 1.00000, 3.... 2
#1 POLYGON ((3.00000 3.00000, 5.00000 3.00000, 5.... 2
#2 POINT (1.00000 2.00000) 3
#3 POINT (2.00000 3.00000) 3
#4 POINT (3.00000 3.00000) 3