Python pandas 计算每行的增长率与累计增长率_python

FacebookDf=pd.read_excel(r'D:\jupyter\Untitled Folder\Facebook2017年股票数据.xlsx',index_col='Date')
FacebookDf.tail()

# .pct_change()返回变化百分比，第一行因没有可对比的，返回Nan，填充为0
# apply(lambda x: format(x, '.2%'))将小数点转换为百分数
FacebookDf['pct_change']=FacebookDf['Close'].pct_change(1).fillna(0).apply(lambda x: format(x, '.2%'))
FacebookDf['pct_change'].head()

Close1=FacebookDf.loc['2017-01-03','Close']
# apply(lambda x: (x-Close1)/Close1)计算累计增长率
# apply(lambda x: format(x, '.2%') 将小数点转换为百分数
FacebookDf['sum_pct_change']=FacebookDf['Close'].apply(lambda x: (x-Close1)/Close1).apply(lambda x: format(x, '.2%'))
FacebookDf['sum_pct_change'].head()