GIS小技术分享（一）：python中json数据转geojson或者shp

1.环境需求

geopands
pandas
shapely
json
python3

2.输入数据（path字段，线条）

[{"id": "586A685D568311B2A16F33FCD5055F7B","name": "普及江","path": "[[116.35178835446628,23.578775300642008],...[116.35907935999273,23.568280404942346],[116.35910326492889,23.568280404942346],[116.35912716986502,23.568280404942346]]","level": "4"},{"id": "5836685D568311B28A99F515E230FBDA","name": "合江","path": "[[116.35164957162047,23.579086231394125],
...
[116.38827220661572,23.565004934530894]]},{"id": "5863685D568311B2B93B96948D95EE27","name": "红河","path": "[[116.3668636727083,23.548868772118134],[116.3668636727083,23.548858522164803],[116.3668636727083,23.54884827221066],...[116.3668636727083,23.54876627254877],[116.3668636727083,23.548735522662366]]},

3.转换代码
将数据转给geojson。转shp可以调整to_file方法的驱动参数。

import json
from shapely.geometry import LineString
import geopandas as gpd
import pandas as pddef main(f):geoList = []tb = []with open(f,mode='r', encoding='utf-8') as ff:data = json.load(ff)df = pd.DataFrame(data)for i in range(0, len(data)):row = data[i]prop = df.iloc[i, :11]tb.append(prop)if (row['path']):line = LineString(row['path'])geoList.append(line)else:geoList.append(None)geoDataFrame = gpd.GeoDataFrame(tb, geometry=geoList)fp = 'res1.geojson'geoDataFrame.to_file(fp, driver='GeoJSON', encoding='utf-8')f = r'z_river_1.txt'
main(f)