/Python/Pandas create a new column based on condition of two columns

Pandas create a new column based on condition of two columns

Pandas create new column conditional on other columns

# For creating new column with multiple conditions
conditions = [
    (df['Base Column 1'] == 'A') & (df['Base Column 2'] == 'B'),
    (df['Base Column 3'] == 'C')]
choices = ['Conditional Value 1', 'Conditional Value 2']
df['New Column'] = np.select(conditions, choices, default='Conditional Value 1')

Pandas create a new column based on condition of two columns

conditions = [
    df['gender'].eq('male') & df['pet1'].eq(df['pet2']),
    df['gender'].eq('female') & df['pet1'].isin(['cat', 'dog'])
]

choices = [5,5]

df['points'] = np.select(conditions, choices, default=0)

print(df)
     gender      pet1      pet2  points
0      male       dog       dog       5
1      male       cat       cat       5
2      male       dog       cat       0
3    female       cat  squirrel       5
4    female       dog       dog       5
5    female  squirrel       cat       0
6  squirrel       dog       cat       0

Source: stackoverflow.com

Similar codes

1 vote206 views1 answer
Types of dict comprehension
Python
-1 vote204 views2 answers
How to url encode using python django
Python
0 vote196 views1 answer
Import matplotlib submodule 'style'
Python
5 votes215 views2 answers
Numpy print full array
Python
1 vote263 views2 answers
Np.sort descending
Python
0 vote229 views1 answer
Djangodebug toolbar not showing
Python Django
6 votes215 views3 answers
Pi in python
Python
9 votes225 views6 answers
Reaction role discord.py
Python
1 vote239 views2 answers
Round python print
Python
10 votes200 views6 answers
Progress bar python
Python