Question

我要计算百分比差异不变或只是两个值之间的差异。

我的df：

                            Radisson Collection      
6                                                                  
Total awareness             none            
Very/Somewhat familiar      4.87726%           
Consideration               6.70163%            
Ever used                   2.04886%

预期输出：

Difference of 0.440553 and 0.462577 = |0.440553 - 0.462577|/((0.440553 + 0.462577)/2) = 0.022024/0.451565 = 0.048772601950993 = 4.8772601950993%

计算公式为：

produces = "application/json; charset=UTF-8"

Answer 1

将差值diff除以绝对值abs与rolling mean：

s = df['Radisson Collection'].rolling(2).mean()
df['new'] = df['Radisson Collection'].diff().abs().div(s) * 100
print (df)
                        Radisson Collection       new
Total awareness                    0.440553       NaN
Very/Somewhat familiar             0.462577  4.877260
Consideration                      0.494652  6.701636
Ever used                          0.484620  2.048869

如果需要百分比：

df['new'] = (df['Radisson Collection'].diff().abs().div(s) * 100)
                    .iloc[1:].round(5).astype(str) + '%'

熊猫df-计算百分比差异不变

1 个答案: