/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 vote143 views1 answer
Transformers bert
Python
1 vote153 views1 answer
Ls.ProgrammingError: permission denied for table django_migrations
Python
0 vote98 views1 answer
56
Python
0 vote178 views1 answer
ValueError: columns overlap but no suffix specified:
Python
-1 vote142 views1 answer
Csv reader url
Python
1 vote145 views1 answer
Addition of array in python with input
Python
0 vote135 views1 answer
Python png to svg
Python
0 vote141 views1 answer
Python get packages path
Python
19 votes135 views5 answers
Python floor
Python
1 vote136 views1 answer
Python how to change an element in a multi dimensional list
Python