在 Python 中用 geopandas 重叠两个 shapefile

Question

我有这两个 shapefile。 [第一个包含 link 1 省份的 shapefile] [第二个 shapefile link 2]

我需要 join/merge 这两个 shapefile 到 return 地图，如下所示： [![莫桑比克地区如下图]

moz_admin=1: https://drive.google.com/file/d/1MYNkuKFXP0dt76G9OgeBotjF5UmiRqEl/view?usp=sharing

moz_admin_district=[2]: https://drive.google.com/file/d/1idf5VKgN8PZgdoAcBVEcY9pDa1WYpg7-/view?usp=sharing

到目前为止我做了什么：

import os
import geopandas as gpd

file = os.listdir(r'pathtofilefolder')
path = [os.path.join(r'folder', i) for i in file if ".shp" in i]

gdf = gpd.GeoDataFrame(pd.concat([gpd.read_file(i) for i in path], 
                        ignore_index=True), crs=gpd.read_file(path[0]).crs)

和

moz_admin.to_crs(moz_admin_district.crs, inplace=True) #Change projections
gpd.sjoin(moz_admin_district, moz_admin, how='union', op='within').shape #Join 2 shapefiles
gpd.sjoin(moz_admin_district, moz_admin, how='union', op='within').plot()

和

diffs = []
gdfs = [moz_admin, moz_admin_district]
    for idx, gdf in enumerate(gdfs):
    if idx < 2:
        diffs.append(gdf.symmetric_difference(gdfs[idx+1]).iloc[0])
diffs.append(moz_admin_district.iloc[0].geometry)

和

gdf = gpd.GeoDataFrame(pd.concat([moz_admin, moz_admin_district]))

和

from shapely.geometry import Polygon
res_union = gpd.overlay(moz_admin, moz_admin_district, how='union')

和

so = moz_admin.merge(moz_admin_district, on='ADM1_PT', how='inner')
df  = tab_df.merge(spatial_df, on='mukey', how='right')
sof = gpd.GeoDataFrame(so)

和

merged_master = gpd.GeoDataFrame(pd.merge(moz_admin, moz_admin_district, how='left', left_on="ADM1_PT", right_on="ADM1_PT"))
merged = merged_master[['ADM1_PT', 'ADM2_PT', 'geometry']]

和

so = gpd.GeoDataFrame(pd.concat([moz_admin, moz_admin_district], ignore_index=True))

和

sjoined_listings = gpd.sjoin(moz_admin_district, moz_admin, op='intersects')

和

merged=sjoin(moz_admin_district, moz_admin, how='left', op='intersects')

没有成功！

Answer 1

#OVERLAP TWO SHAPEFILES INTO ONE

ax = moz_admin.plot(color='none', edgecolor='black', linewidths=1.5)
moz_admin_district.plot(ax=ax, color='none', edgecolor='grey', linewidths=0.5)

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