#!/usr/bin/env python# coding: utf-8# In[1]:import pandas as pd
import numpy as np
import os
pd.set_option("display.max_rows",None)
pd.set_option("display.max_columns",None)# In[2]:
city_code_data = pd.read_excel('./长三角城市名/长三角城市名.xlsx',sheet_name='三省全部编码')
city_code_data
# In[3]:
anhui_data = pd.read_excel('../数据处理/安徽数据全汇总已经校正归类城市名.xlsx',sheet_name='2009年')
anhui_data
# In[4]:#对比
hang,lie = anhui_data.shape
# In[ ]:forfilein['安徽','江苏','浙江']:iffile=='安徽':
r =[i for i inrange(0,106)]eliffile=='江苏':
r =[i for i inrange(105,227)]eliffile=='浙江':
r =[i for i inrange(226,316)]else:pass
writer = pd.ExcelWriter(r'{0}数据全汇总已经校正归类城市名.xlsx'.format(file))for p inrange(2009,2022):
anhui_data = pd.read_excel('../数据处理/{0}数据全汇总已经校正归类城市名.xlsx'.format(file),sheet_name='{0}年'.format(p))
hang,lie = anhui_data.shape
for i inrange(lie):print(i,p,file)for j inrange(hang):
unit =str(anhui_data.iloc[j,i])if unit =='nan':passelse:for k in r:
unit_test_1 =str(city_code_data.iloc[k,5])
unit_test_2 =str(city_code_data.iloc[k,2])
unit_test_3 =str(city_code_data.iloc[k,2])+'市'
unit_test_4 =str(city_code_data.iloc[k,2])+'市辖区'if unit == unit_test_1:
anhui_data.iloc[j,i-1]= city_code_data.iloc[k,4]
anhui_data.iloc[j,i-2]= city_code_data.iloc[k,1]elif unit == unit_test_2:
anhui_data.iloc[j,i-1]= city_code_data.iloc[k,4]
anhui_data.iloc[j,i-2]= city_code_data.iloc[k,1]elif unit == unit_test_3:
anhui_data.iloc[j,i-1]= city_code_data.iloc[k,4]
anhui_data.iloc[j,i-2]= city_code_data.iloc[k,1]elif unit == unit_test_4:
anhui_data.iloc[j,i-1]= city_code_data.iloc[k,4]
anhui_data.iloc[j,i-2]= city_code_data.iloc[k,1]else:pass
anhui_data.to_excel(writer,sheet_name='{0}'.format(p))
writer.save()