Python 用斜线填充的图例绘制geopandas

我用不同的颜色和图案在PA地图上显示了三个县。中心县用斜线表示，斜线使用

hatch='\\'

。但我很难在传说中展示这样的图案

我知道这是行不通的，但我尝试了

Line2D（[0]，[0]，color='white'，hatch='\\'，lw=4，label='center County'）

，但出现了类似“hatch不是属性”的错误

---

创建多边形时，属性

facecolor

定义填充颜色。要为多边形特征创建正确的图例，需要使用mpatches.Patch

下面的代码演示了如何使用

facecolor

和

mpatches.Patch

：

import geopandas as gpd
import matplotlib.pyplot as plt
#from matplotlib.lines import Line2D
import matplotlib.patches as mpatches
from cartopy import crs as ccrs

#fig, ax = plt.subplots(1,figsize=(8,8))
fig, ax = plt.subplots(figsize=(9,9), subplot_kw={'projection': ccrs.PlateCarree()})

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
# cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))

asia = world[(world.continent == "Asia")]  #take Asia countries
asia.plot(ax=ax, color="lightgreen")

china = asia[(asia.name == "China")]
india = asia[(asia.name == "India")]
saudi = asia[(asia.name == "Saudi Arabia")]


ax.add_geometries(china['geometry'], crs=ccrs.PlateCarree(), \
                      facecolor='w', hatch='\\\\\\\\', edgecolor='k', label='China')
ax.add_geometries(india['geometry'], crs=ccrs.PlateCarree(), \
                      color='grey', label='India')
ax.add_geometries(saudi['geometry'], crs=ccrs.PlateCarree(), \
                      color='red', label='Saudi Arabia')

LegendElement = [
                 mpatches.Patch(facecolor='w', hatch='\\\\\\\\', edgecolor='k', label='China'),
                 mpatches.Patch(color='grey', label='India'),
                 mpatches.Patch(color='red', label='Saudi Arabia')
                ]
ax.legend(handles = LegendElement, loc='upper right')
plt.show()

输出图如下所示：

import geopandas as gpd
import matplotlib.pyplot as plt
#from matplotlib.lines import Line2D
import matplotlib.patches as mpatches
from cartopy import crs as ccrs

#fig, ax = plt.subplots(1,figsize=(8,8))
fig, ax = plt.subplots(figsize=(9,9), subplot_kw={'projection': ccrs.PlateCarree()})

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
# cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))

asia = world[(world.continent == "Asia")]  #take Asia countries
asia.plot(ax=ax, color="lightgreen")

china = asia[(asia.name == "China")]
india = asia[(asia.name == "India")]
saudi = asia[(asia.name == "Saudi Arabia")]


ax.add_geometries(china['geometry'], crs=ccrs.PlateCarree(), \
                      facecolor='w', hatch='\\\\\\\\', edgecolor='k', label='China')
ax.add_geometries(india['geometry'], crs=ccrs.PlateCarree(), \
                      color='grey', label='India')
ax.add_geometries(saudi['geometry'], crs=ccrs.PlateCarree(), \
                      color='red', label='Saudi Arabia')

LegendElement = [
                 mpatches.Patch(facecolor='w', hatch='\\\\\\\\', edgecolor='k', label='China'),
                 mpatches.Patch(color='grey', label='India'),
                 mpatches.Patch(color='red', label='Saudi Arabia')
                ]
ax.legend(handles = LegendElement, loc='upper right')
plt.show()