Reputation: 581
I have a Data frame that looks like:
Col1 Col2 Col3 Col4 Col5
A B C D E
B X Y null null
null null null null null
I B W E R
Since third row has all the null values, I want to fill one value in the third row.
The final Data frame should look like:
Col1 Col2 Col3 Col4 Col5
A B C D E
B X Y null null
xyz null null null null
I B W E R
Upvotes: 2
Views: 52
Reputation: 862511
Use DataFrame.loc
for set Col1
column by mask created by DataFrame.isna
and DataFrame.all
for test all True
s per row:
df.loc[df.isna().all(axis=1), 'Col1'] = 'xyz'
print (df)
Col1 Col2 Col3 Col4 Col5
0 A B C D E
1 B X Y NaN NaN
2 xyz NaN NaN NaN NaN
3 I B W E R
For fill first column:
df.iloc[df.isna().all(axis=1).values, 0] = 'xyz'
Upvotes: 6