假设您有两个数据框:
df1 = GeoDataFrame(
[[Point(1.23, 1.34)],
[Point(1.32, 3.56)],
[Point(-1.09, 2.11)]],
columns=['geometry'],
geometry='geometry')
df2 = GeoDataFrame(
[[Polygon([(-2,3),(1,4),(3,3),(-1,-2)]), 123],
[Polygon([(-1,2),(0,2),(4,1),(-2,-1)]), 203]],
columns=['geometry', 'Code'],
geometry='geometry')
您可以手动执行此操作:
# add the Code column:
df1.loc[:,'Code'] = [None]*len(df1.geometry)
# compute the intersections
for i, p in enumerate(df1.geometry):
for j, pol in enumerate(df2.geometry):
if pol.contains(p):
df1['Code'][i] = df2['Code'][j]
break
或者你可以使用空间连接来做到这一点:
df1 = gpd.sjoin(df1, df2, how="inner", op='intersects')
# remove the index_right extra column that is generated:
df1.drop('index_right', axis=1, inplace=True)
请注意,如果一个点与一列以上相交,第二种方法将重复点行,第一种方法不会。