我有如下數據框import pandas as pdimport numpy as npk={'ID':[1,2,3,4,5,6],'m1':[20,'',30,40,50,60],   'm2':['',40,40,90,'',''],   'm3':['','','','','',''],   'm4':['','','','','',''],   'm5':['','','','',1,''],   'm6':[10,'','',90,'','']}df=pd.DataFrame(data=k)我們檢查了同一行的其他行中是否有任何退出值，然后我們需要用零填充它，或者其他確實包含我們必須填充的任何值，NAN我的結果顯示如下ID  m1  m2  m3  m4  m5  m61   20  0.0 0.0 0.0 0.0 10.0 # first row and last row has value some vale so  we have fill it Zero others rows  2   0   40.0    NaN NaN NaN NaN  # there are no value after the second row we have will it with NAN3   30  40.0    NaN NaN NaN NaN  # there are no value after the second row we have will it with NAN4   40  90.0    0.0 0.0 0.0 90.0 # first row,second row  and last row has some value so we have fill it Zero to other rows  5   50  0.0 0.0 0.0 1.0 NaN   # first row,and fifth row has some value so we have fill it Zero to other rows and last row with Nan  6   60  NaN NaN NaN NaN NaN # there are no value after the first row we have will it with NAN