来自带有 Geojson 系列的数据框的地理数据框

Question

在我的数据框中，一个系列包含几何图形作为 GeoJson：

{“类型”：“多边形”，“坐标”：[[[2.459721568...

我应该如何从中创建地理数据框？

Answer 1

您可以使用 https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoDataFrame.from_features.html。需要一个额外的步骤来格式化 dict 所以它是一个有效的 feature

示例数据

import requests
import geopandas as gpd
import pandas as pd

# get geometry of london underground stations so it is a dict in a column
df = pd.DataFrame(
    requests.get(
        "https://raw.githubusercontent.com/oobrien/vis/master/tube/data/tfl_stations.json"
    ).json()["features"]
).drop(columns="properties")

	type	geometry
0	Feature	{'type': 'Point', 'coordinates': [-0.279916688851386, 51.50264359676248]}
1	Feature	{'type': 'Point', 'coordinates': [-0.134745288767581, 51.565370996797775]}
2	Feature	{'type': 'Point', 'coordinates': [-0.071876588767481, 51.51514719676551]}
3	Feature	{'type': 'Point', 'coordinates': [-0.10612998877245, 51.53182149677656]}
4	Feature	{'type': 'Point', 'coordinates': [-0.075715588769394, 51.51409639676498]}
5	Feature	{'type': 'Point', 'coordinates': [-0.2994547888414, 51.54055479678616]}
6	Feature	{'type': 'Point', 'coordinates': [-0.608468688901916, 51.674206696875174]}
7	Feature	{'type': 'Point', 'coordinates': [-0.133268788743383, 51.61647559682913]}
8	Feature	{'type': 'Point', 'coordinates': [-0.108099325493406, 51.55782418669154]}
9	Feature	{'type': 'Point', 'coordinates': [-0.011585088740745, 51.52473659676975]}

转换为几何图形

# convert bits of geometry to actual geometry
gdf = gpd.GeoDataFrame.from_features(
    df["geometry"].apply(lambda g: {"geometry": g, "properties": {}})
)

	geometry
0	POINT (-0.279916688851386 51.50264359676248)
1	POINT (-0.134745288767581 51.56537099679777)
2	POINT (-0.071876588767481 51.51514719676551)
3	POINT (-0.10612998877245 51.53182149677656)
4	POINT (-0.07571558876939399 51.51409639676498)
5	POINT (-0.2994547888414 51.54055479678616)
6	POINT (-0.608468688901916 51.67420669687517)
7	POINT (-0.133268788743383 51.61647559682913)
8	POINT (-0.108099325493406 51.55782418669154)
9	POINT (-0.011585088740745 51.52473659676975)

来自带有 Geojson 系列的数据框的地理数据框

geodataframe from dataframe with a Geojson serie

geojson

pandas

geopandas

示例数据

转换为几何图形