Pandas where

In [20]: df
Out[20]:
   A  B  C
0  1  2  1
1  2  3  0
2  3  4  0
3  4  5  1

# Note that df.C is a mask
# Note that this is np.where, not df.where. That is different.
In [21]: df['D'] = np.where(df.C, df.A, df.B)

In [22]: df
Out[22]:
   A  B  C  D
0  1  2  1  1
1  2  3  0  3
2  3  4  0  4
3  4  5  1  4

Source: stackoverflow.com

Similar codes

1 vote247 views1 answer
How to access items in a list
Python
-1 vote261 views1 answer
Convert excel to json
Python
1 vote276 views1 answer
Matrix sum elements
Python
0 vote286 views2 answers
Python open google
Python
0 vote318 views1 answer
Read dict from text
Python
11 votes276 views1 answer
Python check if int is between two values
Python
3 votes282 views3 answers
How to add header in csv file in python
Python
31 votes306 views6 answers
Python venv create
Python
0 vote292 views1 answer
Pandas datafdrame pyplot
Python
5 votes261 views2 answers
Python plot two lines on same graph
Python