Geopandas绘制为subfigures

Question

假设我有以下包含3个多边形对象的地理数据框。

import geopandas as gpd
from shapely.geometry import Polygon

p1=Polygon([(0,0),(0,1),(1,1),(1,0)])
p2=Polygon([(3,3),(3,6),(6,6),(6,3)])
p3=Polygon([(3,.5),(4,2),(5,.5)])

gdf=gpd.GeoDataFrame(geometry=[p1,p2,p3])
gdf['Value1']=[1,10,20]
gdf['Value2']=[300,200,100]

gdf内容：

>>> gdf
                               geometry  Value1  Value2
0   POLYGON ((0 0, 0 1, 1 1, 1 0, 0 0))       1     300
1   POLYGON ((3 3, 3 6, 6 6, 6 3, 3 3))      10     200
2  POLYGON ((3 0.5, 4 2, 5 0.5, 3 0.5))      20     100
>>> 

我可以通过两次调用geopandas.plot()为每个情节制作一个单独的数字。但是，有没有办法让我在与子图相同的图中将这两张地图彼此相邻？

Answer 1

始终始终 始终 提前创建matplotlib对象并将其传递给绘图方法（或直接使用它们）。这样做，您的代码变为：

ggplot(data=dat2 , aes(x=x, y=Value, group = Metric,colour = Metric,linetype = Metric)) + 
  geom_line()  + geom_point() + ylab("value") + 
  xlab("v") + 
  scale_x_discrete(breaks = c( seq(1,5,1)  ) ) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
  scale_y_continuous(breaks = c( seq(-3,3,.25)  )  ) +
  scale_colour_manual(values=c(mu = "blue", sd = "blue", Q1 = "red", Q3 = "red")) +
  scale_linetype_manual(values =c(mu = "dashed", sd= "solid", Q1 = "solid", Q3 = "solid"))  +
  facet_wrap(~ group, scales = "free",ncol=3, 
      # add a labeller here:
      labeller = as_labeller(setNames(lbl, sort(unique(group))))) +
  theme(strip.text.x = element_text(size=10, angle=0),
        strip.text.y = element_text(size=12, face="bold"),
        strip.background = element_rect(colour="red", fill="#CCCCFF"))

这给了我：

Answer 2

// for plotting multiple GeoDataframe 
import geopandas as gpd

gdf = gpd.read_file(geojson) 
fig, axes = plt.subplots(1,4, figsize=(40,10))
axes[0].set_title('Some Title')
gdf.plot(ax=axes[0], column='Some column for coloring', cmap='coloring option')

axes[0].set_title('Some Title')
gdf.plot(ax=axes[0], column='Some column for coloring', cmap='coloring option')