python-3.x - 如何快速在pct_change的结果中添加％？

Question

import pandas as pd 
ind = pd.date_range('01/01/2000', periods = 4, freq ='W') 
df = pd.DataFrame({"A":[14, 4, 5, 4]},index = ind) 

df.pct_change()
                    A
2000-01-02        NaN
2000-01-09  -0.714286
2000-01-16   0.250000
2000-01-23  -0.200000

我们用pct_change函数得到df的A列增长率，如果我期望以下结果，如何快速在pct_change的输出中增加％？

               A
2000-01-02   NaN
2000-01-09  -71%
2000-01-16   25%
2000-01-23  -20%

Answer 1

您可以尝试以下方法：

import numpy as np
import pandas as pd 
ind = pd.date_range('01/01/2000', periods = 4, freq ='W') 
df = pd.DataFrame({"A":[None, -0.714286, 0.25, -0.2]},index = ind) 

df.loc[~df['A'].isna(), 'A'] = (df.loc[~df['A'].isna(), 'A']*100).astype(int).astype(str) + '%'

df['A']：

2000-01-02     NaN
2000-01-09    -71%
2000-01-16     25%
2000-01-23    -20%