如果第一个数据框中的列数据存在于python中另一个数据框的任何列中，则合并两个数据框

Question

我需要合并两个数据框。第一个是：

page            value
shoes           554
sneakers        226
sandals         114
boots           821
T-shirt         213
mobile-phone    284
laptop          361

第二个数据帧是：

path1            path2            path3              path4
fashion          footwear         shoes-and-other    shoes
fashion          footwear         shoes-and-other    sneakers
fashion          footwear         sandals            NaN
fashion          footwear         shirts             T-shirt
electronic       devices          mobile-and-tablet  mobile-phone 
electronic       devices          laptop             NaN 

我的预期输出将是：

path1        path2      path3              path4        page         value
fashion      footwear   shoes-and-other    shoes        shoes        554
fashion      footwear   shoes-and-other    sneakers     sneakers     226
fashion      footwear   sandals            NaN          sandals      114
fashion      footwear   shirts             T-shirt      T-shirt      213
electronic   devices    mobile-and-tablet  mobile-phone mobile-phone 284 
electronic   devices    laptop             NaN          laptop       361

如果第一个数据帧中的任何page字符串存在于path1或path2或path3或{第二个数据帧的{1}}列。请注意，第一个数据帧的path4可能与第二个数据帧的page匹配，我有很多情况。

有没有简单的pythonic方法？

Answer 1

让我们尝试where与ffill创建合并密钥，然后merge

df1['page'] = df1.where(df1.isin(df.page.tolist())).ffill(1).iloc[:,-1]
df1 = df1.merge(df, how='left')
df1
Out[131]: 
        path1     path2              path3         path4          page  value
0     fashion  footwear    shoes-and-other         shoes         shoes    554
1     fashion  footwear    shoes-and-other      sneakers      sneakers    226
2     fashion  footwear            sandals           NaN       sandals    114
3     fashion  footwear             shirts       T-shirt       T-shirt    213
4  electronic   devices  mobile-and-tablet  mobile-phone  mobile-phone    284
5  electronic   devices             laptop           NaN        laptop    361