Join 3 boolean columns into 1 taking into account the row value

Question

Be the following DataFrame in pandas:

Column_1	Column_2	Column_3	Column_4	Column_5
82198	True	False	False	red
27498	False	False	False	red
84838	False	False	True	red
10498	False	True	False	red

I want to create a New_column that has the value True if any of the columns Column_2, Column_3, Column_4 is True and False, if all 3 are false. Output example:

Column_1	Column_2	Column_3	Column_4	Column_5	New_column
82198	True	False	False	red	True
27498	False	False	False	red	False
84838	False	False	True	red	True
10498	False	True	False	red	True

Asked By: Carola

||

Source

Answer 1

this might work:

df['new_column']=(df['Column_2']==True) | (df['Column_3']==True) | (df['Column_4']==True)

Answered By: Clegane

Answer 2

This works i think :

df["New_Column"] = df.Column_2 |df.Column_3| df.Column_4

Answered By: grymlin

Answer 3

Other option:

df["New_Column"] = df["Column_2"] |df["Column_3"]| df["Column_4"]

Answered By: Carola

Join 3 boolean columns into 1 taking into account the row value

Question:

Answers: