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如果第一个 dataframe 中的列的数据存在于 python 中另一个 dataframe 的任何列中,则合并两个数据帧

[英]Merge two dataframes if data of a column in first dataframe exists in any of the columns of another dataframe in python

我有两个需要合并的数据框。 第一个是:

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

第二个数据框是:

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 

我预期的 output 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字符串存在于第二个数据帧的path1path2path3path4列中,我想加入这两个数据帧。 请注意,第一个数据帧的page可能与第二个数据帧的path1匹配,我有多种情况。

有没有简单的pythonic方式?

让我们尝试使用ffill where创建合并键,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

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