Pandas Replace NaN in column A from column B

Asked Mar 10 '20 at 11:33

Active Mar 13 '20 at 22:34

Viewed 32 times

I have a Pandas Dataframe as shown below:

     A     B     C
0    a1    b1    c1
1    a2    b1    c2
2    NaN   b2    c3
3    NaN   b2    c4
4    NaN   b3    c5
5    NaN   b3    c6
6    NaN   b3    c7
7    a3    b4    c8
8    a4    b4    c9

I would like to remove NaN values from column A and replace them with column B values that it looks like below:

     A     B     C
0    a1    b1    c1
1    a2    b1    c2
2    b2    b2    c3
3    b2    b2    c4
4    b3    b3    c5
5    b3    b3    c6
6    b3    b3    c7
7    a3    b4    c8
8    a4    b4    c9

edited Mar 13 '20 at 22:34

Jai

asked Mar 10 '20 at 11:33

ShadowEspada

2

`df['A'] = df['A'].fillna(df['B'])` – Chris Adams Mar 10 '20 at 11:34
replace will also work: df['A'] = df['A']..replace(np.nan, df['B']) – MGs Mar 10 '20 at 12:07

Pandas Replace NaN in column A from column B

0 Answers0