jovicbg
jovicbg

Reputation: 1553

Map column if string contain values from other column in Pandas

I have two dataframes, first is:

df1

col_one col_two
ABBC1  (1, 2, 3)
DFFG2  (3, 5, 1)
JJKS3  (5, 2, 5)

df2

    col_1
operate ABBC1 1 to 2, JJKS3 3 to 5
operate JJKS3, FOM

Desired output df2:

  col_1                col_2
operate ABBC1, to 2  (1, 2, 3)
operate JJKS3, FOM   (5, 2, 5)

I have tried multiple ways but the closest I get is:

for values, map_col in df1[['col_one', 'col_two']].values:
    for val in df2['col_1']:
        if ("%s" %values) in df2['col_1'] :
            df2['col_2'] = "%s" %(map_col,)

And I thought this will be good, but I got exactly the same values for all rows.

Any help is welcomed. Thanks

Upvotes: 0

Views: 501

Answers (1)

jezrael
jezrael

Reputation: 863301

You can create new column by extract and merge by it:

pat = '|'.join(r"\b{}\b".format(x) for x in df1['col_one'].unique())
df2['col_one'] = df2['col_1'].str.extract('(' + pat + ')')
print (df2)
                 col_1 col_one
0  operate ABBC1, to 2   ABBC1
1   operate JJKS3, FOM   JJKS3

df = df1.merge(df2, on='col_one')
print (df)
  col_one    col_two                col_1
0   ABBC1  (1, 2, 3)  operate ABBC1, to 2
1   JJKS3  (5, 2, 5)   operate JJKS3, FOM

EDIT:

If match multiple values is possible use findall and create new DataFrame:

pat = '|'.join(r"\b{}\b".format(x) for x in df1['col_one'].unique())
s = df2['col_1'].str.findall('(' + pat + ')')
print (s)
0    [ABBC1, JJKS3]
1           [JJKS3]
Name: col_1, dtype: object

lens = s.str.len()
a = np.repeat(df2['col_1'], lens)
b = np.concatenate(s)
df2 = pd.DataFrame({'col_1':a, 'col_one':b})
print (df2)
                               col_1 col_one
0  operate ABBC1, to 2  JJKS3 3 to 5   ABBC1
0  operate ABBC1, to 2  JJKS3 3 to 5   JJKS3
1                 operate JJKS3, FOM   JJKS3

df = df1.merge(df2, on='col_one')
print (df)
  col_one    col_two                              col_1
0   ABBC1  (1, 2, 3)  operate ABBC1, to 2  JJKS3 3 to 5
1   JJKS3  (5, 2, 5)  operate ABBC1, to 2  JJKS3 3 to 5
2   JJKS3  (5, 2, 5)                 operate JJKS3, FOM

Upvotes: 1

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