CODEWITHSUNDEEP
pythonpandasdataframe
RSM
RSM

Reputation: 673

Conditional fillna() in pandas dataframe

I have two below dataframes df1 and df2

df1:

A   B       C       D
1   Nora    NaN     Japan
2   Neo     NaN     India
3   Nord    NaN     Fuji
4   Noman   2020    Unknown

df2:

E       F
1123    Neo
1124    Norm
1126    Nora

I need to perform a fillna in df1 and take values from df2 only for those values which have entries in df2.

Resultant Dataframe: df1:

A   B       C       D
1   Nora    1126    Japan
2   Neo     1123    India
3   Nord    NaN     Fuji
4   Noman   2020    Unknown

Is there any way for the same? I do not want to loop since I have huge dataframe which might decrease the performance of the code.

Upvotes: 2

Views: 240

Answers (1)

Ch3steR
Ch3steR

Reputation: 20669

You can set column F as index in second df2 then use that as mapping using pd.Series.map then use it as fill value.

mapping = df2.set_index('F').squeeze()
df1['C'] = df1['C'].fillna(df['B'].map(mapping))

   A      B       C        D
0  1   Nora  1126.0    Japan
1  2    Neo  1123.0    India
2  3   Nord     NaN     Fuji
3  4  Noman  2020.0  Unknown

Upvotes: 2

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