MFMessageComposeViewController显示消息体突出显示进行编辑(MFMessageComposeViewController show with message body highlighted for editing)

 您正在使用数据框图函数创建新图形。 您应该传递要绘制第二个图的轴。 一种方法是使用gca来获取当前轴。 
 
 以下应该工作（虽然没有测试）： 
 
plt.figure(figsize=(10,7))
img=imread('California.png')

plt.imshow(img,zorder=0,extent=[housing['longitude'].min(),housing['longitude'].max(),housing['latitude'].min(),housing['latitude'].max()])
ax = plt.gca()
housing.plot(x='longitude', y='latitude', kind='scatter', alpha=0.4, 
         s= housing['population']/100, label='population', ax=ax,
         c= 'median_house_value', cmap=plt.get_cmap('jet'), colorbar=True, 
         zorder=5)
plt.legend()
plt.show()
 
 编辑：使用imshow的extent参数以及经度和纬度数据的最小值和最大值将正确缩放图像。 

You are creating a new figure by using the dataframe plot function. You should pass the axes on which you want to draw your second plot. One way is to use gca to get the current axis.
 
The following should work (not tested though):
 
plt.figure(figsize=(10,7))
img=imread('California.png')

plt.imshow(img,zorder=0,extent=[housing['longitude'].min(),housing['longitude'].max(),housing['latitude'].min(),housing['latitude'].max()])
ax = plt.gca()
housing.plot(x='longitude', y='latitude', kind='scatter', alpha=0.4, 
         s= housing['population']/100, label='population', ax=ax,
         c= 'median_house_value', cmap=plt.get_cmap('jet'), colorbar=True, 
         zorder=5)
plt.legend()
plt.show()
 
EDIT: using the extent parameter of imshow with the minimum and maximum values of your longitude and latitude data will scale the image correctly.