python - pandas join data frames on similar but not identical string using lower case only -

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i need join data frames on columns similar not identical. fortunately, lowercase letters identical between columns. trying isolate lowercase letters each column, create new columns join on. 

df1 = pd.dataframe({'alpha': ['1', '2', '3'],                'beta': ['jrleparoux', 'bjhernandez,jr.','sxbridgmohan'],})  df2 = pd.dataframe({'alpha': ['1', '2', '3'],                'gamma': ['leparoux r', 'hernandez,b, jr.','bridgmohan s x'],                'zeta': ['17', '23','116'],})

this have tried

def joinnames(df):         filelist = []     c in df:         if c.islower():              filelist.append(c)     return filelist  df1['joinhere'] = df1['beta'].apply(joinnames)  df2['joinhere'] = df2['gamma'].apply(joinnames) pd.merge(df1,df2, how ='left', left_on = 'joinhere', right_on = 'joinhere' )

this output trying achieve. 

final = pd.dataframe({'alpha': ['1', '2', '3'],                'gamma': ['leparoux r', 'hernandez,b, jr.','bridgmohan s x'],                'beta': ['jrleparoux', 'bjhernandez,jr.','sxbridgmohan'],                'zeta': ['17', '23','116'],})

you use series.str.extract find lowercase letters:

import pandas pd  df1 = pd.dataframe({'alpha': ['1', '2', '3'],                'beta': ['jrleparoux', 'bjhernandez,jr.','sxbridgmohan'],})  df2 = pd.dataframe({'alpha': ['1', '2', '3'],                'gamma': ['leparoux r', 'hernandez,b, jr.','bridgmohan s x'],                'zeta': ['17', '23','116'],})    df1['lower'] = df1['beta'].str.extract(r'([a-z]+)') df2['lower'] = df2['gamma'].str.extract(r'([a-z]+)') final = pd.merge(df1, df2) print(final)

yields

  alpha             beta      lower             gamma zeta 0     1       jrleparoux    eparoux        leparoux r   17 1     2  bjhernandez,jr.   ernandez  hernandez,b, jr.   23 2     3     sxbridgmohan  ridgmohan    bridgmohan s x  116

note assumes collecting ascii characters a z suffices produce values on join. if beta , gamma columns contains non-ascii lowercase characters (such characters accent marks) may need add regex character class, [a-z].


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