/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

0 vote94 views1 answer
Negative number factor python
Python
1 vote106 views1 answer
Frequency
Python
-1 vote112 views1 answer
Import http response in django
Python
1 vote97 views1 answer
Python copy file to new filename
Python
0 vote103 views1 answer
Get panda df as a string csv
Python
1 vote109 views1 answer
Fill na with mode and mean python
Python
0 vote94 views1 answer
Pandas filter and change value
Python
0 vote114 views1 answer
Python form html
Python
55 votes113 views5 answers
How to clear the console python
Python
0 vote97 views1 answer
Python- find multiple values in a column
Python