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：

 

 1 #! /usr/bin/env python
 2 #-*- coding:utf8 -*-
 3 import pandas as pd
 4 from pandas import DataFrame
 5 import  numpy as np
 6 pd.set_option('display.height',10000)
 7 pd.set_option('display.max_rows',5000)
 8 pd.set_option('display.max_columns',5000)
 9 pd.set_option('display.width',10000)
10 df = pd.read_excel(r"F:\test.xlsx")
11 col_n = ['C','D']
12 col_A = ['A','B']
13 CD = pd.DataFrame(df,columns = col_n)
14 AB = pd.DataFrame(df,columns = col_A)
15 # print(CD)
16 # print(AB)
17 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')
18 print(fi)
19 
20 zn=fi[fi.isnull().values==True]
21 print(zn.fillna(0))

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 改进版

 1 #! /usr/bin/env python
 2 #-*- coding:utf8 -*-
 3 import pandas as pd
 4 from locale import *
 5 from pandas import DataFrame
 6 import  numpy as np
 7 writer = pd.ExcelWriter('output.xlsx')
 8 pd.set_option('display.height',10000)
 9 pd.set_option('display.max_rows',5000)
10 pd.set_option('display.max_columns',5000)
11 pd.set_option('display.width',10000)
12 df = pd.read_excel(r"F:\test.xlsx", thousands=',')
13 print(df.info())
14 # df = pd.read_excel(r"F:\test.xlsx")
15 col_A = ['A','B']
16 col_n = ['C','D']
17 print(df)
18 AB = pd.DataFrame(df,columns = col_A)
19 CD = pd.DataFrame(df,columns = col_n)
20 
21 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')
22 
23 # fi['E']=fi.apply(lambda x: (x['D'] - x['B'])/x['D']*100, axis=1).round(2)
24 
25 # fi['E']=fi.apply(lambda x: format((x['D'] - x['B'])/x['D'],'.2%'), axis=1)
26 
27 # fi['E']=(fi.D-fi.B)
28 # fi['F']=((fi.D-fi.B)/fi.D*100)
29 fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B)*100).round(2)
30 # fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B))
31 
32 def number_to_flag(number):
33     if number > 0:
34         return '↑'
35     elif number == 0:
36         return '='
37     else:
38         return '↓'
39 
40 fi =fi.sort_values(by=['F'],ascending=False) #升序
41 
42 fi['G'] =fi['F'].map(number_to_flag)
43 
44 fi['E'] = fi['E'].astype('str').str.replace("-","")
45 fi['F'] = fi['F'].astype('str').str.replace("-","")
46 fi['F'] = fi.F + '%'
47 fi=fi.dropna(axis=0)
48 fi=fi[ ~ fi['F'].str.contains('0.0') ]
49 fi['E'] = fi['E'].astype('float64')
50 print(fi)
51 print(fi.dtypes)
52 fi.to_excel(writer)
53 writer.save()

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 最终版

 1 #! /usr/bin/env python
 2 #-*- coding:utf8 -*-
 3 import sys
 4 reload(sys)
 5 sys.setdefaultencoding('gbk')
 6 from locale import *
 7 from pandas import DataFrame
 8 import pandas as pd
 9 import  numpy as np
10 writer = pd.ExcelWriter('output.xlsx')
11 pd.set_option('display.height',10000)
12 pd.set_option('display.max_rows',5000)
13 pd.set_option('display.max_columns',5000)
14 pd.set_option('display.width',10000)
15 df = pd.read_excel(r"F:\test.xlsx")
16 pd.options.display.float_format = '{:,}'.format
17 
18 print(df.info())
19 # df = pd.read_excel(r"F:\test.xlsx")
20 col_A = ['A','B']
21 col_n = ['C','D']
22 
23 AB = pd.DataFrame(df,columns = col_A)
24 CD = pd.DataFrame(df,columns = col_n)
25 
26 fi =pd.merge(AB,CD,left_on='A',right_on='C',how='left')
27 
28 # fi['E']=fi.apply(lambda x: (x['D'] - x['B'])/x['D']*100, axis=1).round(2)
29 
30 # fi['E']=fi.apply(lambda x: format((x['D'] - x['B'])/x['D'],'.2%'), axis=1)
31 
32 # fi['E']=(fi.D-fi.B)
33 # fi['F']=((fi.D-fi.B)/fi.D*100)
34 fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B)*100).round(2)
35 # fi=fi.assign(E=fi.B-fi.D,F=((fi.B-fi.D)/fi.B))
36 
37 def number_to_flag(number):
38     if number > 0:
39         return '↓'
40     elif number == 0:
41         return '='
42     else:
43         return '↑'
44 
45 fi =fi.sort_values(by=['F'],ascending=False) #升序
46 
47 fi['G'] =fi['F'].map(number_to_flag)
48 
49 fi['E'] = fi['E'].astype('str').str.replace("-","")
50 fi['F'] = fi['F'].astype('str').str.replace("-","")
51 fi['F'] = fi.F + '%'
52 fi=fi.dropna(axis=0)
53 
54 fi=fi[ ~ fi['F'].str.contains('0.0') ]
55 fi['E'] = fi['E'].astype('float64')
56 fi['B'] = fi['B'].astype('float64')
57 
58 print(fi)
59 # print(fi.dtypes)
60 fi.to_excel(writer)
61 writer.save()
62 # fi.to_html('files.html',escape=False,index=False,sparsify=True,border=1,index_names=False,header=True)

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转载于:https://www.cnblogs.com/yspass/p/7977032.html