有没有办法将条形图 (matplotlib) 叠加到地图 (geopandas) 上?
Is there a way to overlay a bar chart (matplotlib) onto a map (geopandas)?
我把地图画成这样。我怎样才能用条形图覆盖它?
import geopandas as gpd
import matplotlib.pyplot as plt
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
ax = world.plot()
plt.show()
应该和网上找的这张图差不多:
把两个图叠加起来很容易,难的是把条形图正好放在一个点坐标上。我只用一个条形图做了这个例子,但这只是一个近似值:
import geopandas as gpd
import matplotlib.pyplot as plt
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
fig = plt.figure()
ax_map = fig.add_axes([0, 0, 1, 1])
world.plot(ax=ax_map)
lat, lon = 19.432608, -99.133208
ax_bar = fig.add_axes([0.5*(1+lon/180) , 0.5*(1+lat/90) , 0.05, 0.05])
ax_bar.bar([1, 2, 3], [1, 2, 3], color=['C1', 'C2', 'C3'])
ax_bar.set_axis_off()
plt.show()
我把地图画成这样。我怎样才能用条形图覆盖它?
import geopandas as gpd
import matplotlib.pyplot as plt
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
ax = world.plot()
plt.show()
应该和网上找的这张图差不多:
把两个图叠加起来很容易,难的是把条形图正好放在一个点坐标上。我只用一个条形图做了这个例子,但这只是一个近似值:
import geopandas as gpd
import matplotlib.pyplot as plt
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
fig = plt.figure()
ax_map = fig.add_axes([0, 0, 1, 1])
world.plot(ax=ax_map)
lat, lon = 19.432608, -99.133208
ax_bar = fig.add_axes([0.5*(1+lon/180) , 0.5*(1+lat/90) , 0.05, 0.05])
ax_bar.bar([1, 2, 3], [1, 2, 3], color=['C1', 'C2', 'C3'])
ax_bar.set_axis_off()
plt.show()