pandas 转换数据框数据透视表 [英] pandas transform dataframe pivot table

问题描述

我可以变换以下数据框:

I can transform the following dataframe:

   VALUE       COUNT  RECL_LCC  RECL_PI
0      1  15,686,114         3        1
1      2  27,537,963         1        1
2      3  23,448,904         1        2
3      4   1,213,184         1        3
4      5  14,185,448         3        2
5      6  13,064,600         3        3
6      7  27,043,180         2        2
7      8  11,732,405         2        1
8      9  14,773,871         2        3

变成这样:

RECL_PI            1           2           3
RECL_LCC                                    
1         27,537,963  23,448,904   1,213,184
2         11,732,405  27,043,180  14,773,871
3         15,686,114  14,185,448  13,064,600

通过使用熊猫数据透视表:

by using pandas pivot table:

plot_table = LCC_PI_df.pivot_table(index=['RECL_LCC'], columns='RECL_PI', values='COUNT', aggfunc='sum')

有没有一种快速的方法来创建数据透视表，该数据透视表使用行总数的百分比而不是原始计数的总和?

Is there a quick way to create the pivot table with percentage of row totals instead of raw sum of counts?

推荐答案

根据评论，我认为您可以按照以下步骤进行操作.请注意，我将COUNT列转换为整数以完成此操作:

According to comments, I think you can do that like following. Note that I converted the COUNT column to integers to do this :

#convert strings of the COUNT column to integers
import locale
locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' ) 
LCC_PI_df.COUNT = LCC_PI_df.COUNT.apply(locale.atoi)

plot_table = LCC_PI_df.pivot_table(index=['RECL_LCC'], columns='RECL_PI', values='COUNT', aggfunc='sum')
#Calculate percentages
plot_table = plot_table.apply(lambda x : x / x.sum(), axis=1)   

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