excel 中怎么让两列姓名相同排序（转）

如图，A列B列不动，C列和D列行值不变，以A列姓名为主让C列姓名和A列相同姓名的对齐（行），D行跟着C行不变。

在E1输入公式=MATCH(C1,A:A,0)然后下拉,接著选中C,D,E列,以E列为标准升序排列即可

转自：https://wenku.baidu.com/view/b7f6198058fb770bf68a5559.html

pandas实现方法：

 #! /usr/bin/env python
 #-*- coding:utf8 -*-
 import pandas as pd
 from pandas import DataFrame
 import  numpy as np
 pd.set_option('display.height',10000)
 pd.set_option('display.max_rows',5000)
 pd.set_option('display.max_columns',5000)
 pd.set_option('display.width',10000)
 df = pd.read_excel(r"F:\test.xlsx")
 col_n = ['C','D']
 col_A = ['A','B']
 CD = pd.DataFrame(df,columns = col_n)
 AB = pd.DataFrame(df,columns = col_A)
 # print(CD)
 # print(AB)
 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')
 print(fi)

 zn=fi[fi.isnull().values==True]
 print(zn.fillna(0))

改进版

 #! /usr/bin/env python
 #-*- coding:utf8 -*-
 import pandas as pd
 from locale import *
 from pandas import DataFrame
 import  numpy as np
 writer = pd.ExcelWriter('output.xlsx')
 pd.set_option('display.height',10000)
 pd.set_option('display.max_rows',5000)
 pd.set_option('display.max_columns',5000)
 pd.set_option('display.width',10000)
 df = pd.read_excel(r"F:\test.xlsx", thousands=',')
 print(df.info())
 # df = pd.read_excel(r"F:\test.xlsx")
 col_A = ['A','B']
 col_n = ['C','D']
 print(df)
 AB = pd.DataFrame(df,columns = col_A)
 CD = pd.DataFrame(df,columns = col_n)

 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')

 # fi['E']=fi.apply(lambda x: (x['D'] - x['B'])/x['D']*100, axis=1).round(2)

 # fi['E']=fi.apply(lambda x: format((x['D'] - x['B'])/x['D'],'.2%'), axis=1)

 # fi['E']=(fi.D-fi.B)
 # fi['F']=((fi.D-fi.B)/fi.D*100)
 fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B)*100).round(2)
 # fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B))

 def number_to_flag(number):
     if number > 0:
         return '↑'
     elif number == 0:
         return '='
     else:
         return '↓'

 fi =fi.sort_values(by=['F'],ascending=False) #升序

 fi['G'] =fi['F'].map(number_to_flag)

 fi['E'] = fi['E'].astype('str').str.replace("-","")
 fi['F'] = fi['F'].astype('str').str.replace("-","")
 fi['F'] = fi.F + '%'
 fi=fi.dropna(axis=0)
 fi=fi[ ~ fi['F'].str.contains('0.0') ]
 fi['E'] = fi['E'].astype('float64')
 print(fi)
 print(fi.dtypes)
 fi.to_excel(writer)
 writer.save()

最终版

 #! /usr/bin/env python
 #-*- coding:utf8 -*-
 import sys
 reload(sys)
 sys.setdefaultencoding('gbk')
 from locale import *
 from pandas import DataFrame
 import pandas as pd
 import  numpy as np
 writer = pd.ExcelWriter('output.xlsx')
 pd.set_option('display.height',10000)
 pd.set_option('display.max_rows',5000)
 pd.set_option('display.max_columns',5000)
 pd.set_option('display.width',10000)
 df = pd.read_excel(r"F:\test.xlsx")
 pd.options.display.float_format = '{:,}'.format

 print(df.info())
 # df = pd.read_excel(r"F:\test.xlsx")
 col_A = ['A','B']
 col_n = ['C','D']

 AB = pd.DataFrame(df,columns = col_A)
 CD = pd.DataFrame(df,columns = col_n)

 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')

 # fi['E']=fi.apply(lambda x: (x['D'] - x['B'])/x['D']*100, axis=1).round(2)

 # fi['E']=fi.apply(lambda x: format((x['D'] - x['B'])/x['D'],'.2%'), axis=1)

 # fi['E']=(fi.D-fi.B)
 # fi['F']=((fi.D-fi.B)/fi.D*100)
 fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B)*100).round(2)
 # fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B))

 def number_to_flag(number):
     if number > 0:
         return '↓'
     elif number == 0:
         return '='
     else:
         return '↑'

 fi =fi.sort_values(by=['F'],ascending=False) #升序

 fi['G'] =fi['F'].map(number_to_flag)

 fi['E'] = fi['E'].astype('str').str.replace("-","")
 fi['F'] = fi['F'].astype('str').str.replace("-","")
 fi['F'] = fi.F + '%'
 fi=fi.dropna(axis=0)

 fi=fi[ ~ fi['F'].str.contains('0.0') ]
 fi['E'] = fi['E'].astype('float64')
 fi['B'] = fi['B'].astype('float64')

 print(fi)
 # print(fi.dtypes)
 fi.to_excel(writer)
 writer.save()
 # fi.to_html('files.html',escape=False,index=False,sparsify=True,border=1,index_names=False,header=True)