您好，我按照您提供的代码运行程序，出现了问题，请问您一下，我这里要怎么修改呢？
这是您的代码：
-- coding: utf-8 --
"""
Created on Tue Oct 15 16:56:34 2019
@author: Jie Zhang，微信公众号【EasyShu】，本代码源自《Python数据可视化之美》
"""
import geopandas as gpd
import pandas as pd
from plotnine import *
Scale=3
width=1.1
df_map = gpd.GeoDataFrame.from_file('Virtual_Map1.shp')
df_city=pd.read_csv("Virtual_City.csv")
selectCol=["orange","apple","banana","watermelon"]
MaxH=df_city.loc[:,selectCol].max().max()
df_city.loc[:,selectCol]=df_city.loc[:,selectCol]/MaxH*Scale
df_city=pd.melt(df_city.loc[:,['lat','long','group','city']+selectCol],
id_vars=['lat','long','group','city'])
df_city['hjust1']=df_city.transform(lambda x: -width if x['variable']=="orange"
else -width/2 if x['variable']=="apple"
else 0 if x['variable']=="banana" else width/2 ,axis=1)
df_city['hjust2']=df_city.transform(lambda x: -width/2 if x['variable']=="orange"
else 0 if x['variable']=="apple"
else width/2 if x['variable']=="banana" else width ,axis=1)
base_plot=(ggplot()+
geom_map(df_map,fill='white',color='gray')+
geom_rect(df_city, aes(xmin = 'long +hjust1', xmax = 'long+hjust2',
ymin = 'lat', ymax = 'lat + value' , fill= 'variable'),
size =0.25, colour ="black", alpha = 1)+
geom_text(df_city.drop_duplicates('city'),aes(x='long', y='lat', label='city'),
colour="black",size=10,nudge_y=-1.25)+
scale_fill_hue(s = 1, l = 0.65, h=0.0417,color_space='husl'))
print(base_plot)
这是报错的问题：
Traceback (most recent call last):
File "e:/Ph.D/python可视化/Beautiful-Visualization-with-python-master/第10章 地理空间型图表/图10-4-1 多数据系列的地图.py", line 27, in
else 0 if x['variable']=="banana" else width/2 ,axis=1)
File "D:\python\lib\site-packages\pandas\core\frame.py", line 7398, in transform
return self.T.transform(func, *args, **kwargs).T
File "D:\python\lib\site-packages\pandas\core\frame.py", line 7399, in transform
return super().transform(func, *args, **kwargs)
File "D:\python\lib\site-packages\pandas\core\generic.py", line 10669, in transform
raise ValueError("transforms cannot produce aggregated results")
ValueError: transforms cannot produce aggregated results
您好，我按照您提供的代码运行程序，出现了问题，请问您一下，我这里要怎么修改呢？
这是您的代码：
-- coding: utf-8 --
"""
Created on Tue Oct 15 16:56:34 2019
@author: Jie Zhang，微信公众号【EasyShu】，本代码源自《Python数据可视化之美》
"""
import geopandas as gpd
import pandas as pd
from plotnine import *
Scale=3
width=1.1
df_map = gpd.GeoDataFrame.from_file('Virtual_Map1.shp')
df_city=pd.read_csv("Virtual_City.csv")
selectCol=["orange","apple","banana","watermelon"]
MaxH=df_city.loc[:,selectCol].max().max()
df_city.loc[:,selectCol]=df_city.loc[:,selectCol]/MaxH*Scale
df_city=pd.melt(df_city.loc[:,['lat','long','group','city']+selectCol],
id_vars=['lat','long','group','city'])
df_city['hjust1']=df_city.transform(lambda x: -width if x['variable']=="orange"
else -width/2 if x['variable']=="apple"
else 0 if x['variable']=="banana" else width/2 ,axis=1)
df_city['hjust2']=df_city.transform(lambda x: -width/2 if x['variable']=="orange"
else 0 if x['variable']=="apple"
else width/2 if x['variable']=="banana" else width ,axis=1)
base_plot=(ggplot()+
geom_map(df_map,fill='white',color='gray')+
geom_rect(df_city, aes(xmin = 'long +hjust1', xmax = 'long+hjust2',
ymin = 'lat', ymax = 'lat + value' , fill= 'variable'),
size =0.25, colour ="black", alpha = 1)+
geom_text(df_city.drop_duplicates('city'),aes(x='long', y='lat', label='city'),
colour="black",size=10,nudge_y=-1.25)+
scale_fill_hue(s = 1, l = 0.65, h=0.0417,color_space='husl'))
print(base_plot)
这是报错的问题：
Traceback (most recent call last):
File "e:/Ph.D/python可视化/Beautiful-Visualization-with-python-master/第10章 地理空间型图表/图10-4-1 多数据系列的地图.py", line 27, in
else 0 if x['variable']=="banana" else width/2 ,axis=1)
File "D:\python\lib\site-packages\pandas\core\frame.py", line 7398, in transform
return self.T.transform(func, *args, **kwargs).T
File "D:\python\lib\site-packages\pandas\core\frame.py", line 7399, in transform
return super().transform(func, *args, **kwargs)
File "D:\python\lib\site-packages\pandas\core\generic.py", line 10669, in transform
raise ValueError("transforms cannot produce aggregated results")
ValueError: transforms cannot produce aggregated results