Create a column based on condition pertaining to 2 other columns

Question

I have two columns in a pandas DataFrame (let\'s call the \'col1\' and col2\'). Both contain True/False values.

I need to create a third column from these two (\'co

Answer 1

You can use np.logical_or to do this:

In [236]:
df = pd.DataFrame({'col1':[True,False,False], 'col2':[False,True,False]})
df

Out[236]:
    col1   col2
0   True  False
1  False   True
2  False  False

In [239]:
df['col3'] = np.logical_or(df['col1'], df['col2'])
df

Out[239]:
    col1   col2   col3
0   True  False   True
1  False   True   True
2  False  False  False

or use | operator:

In [240]:
df['col3'] = df['col1'] | df['col2']

df
Out[240]:
    col1   col2   col3
0   True  False   True
1  False   True   True
2  False  False  False