/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

9 votes300 views4 answers
Python run server
Python
0 vote283 views1 answer
Swap two lists without using third variable python
Python
1 vote299 views1 answer
Openpyxl delete column by name
Python
1 vote294 views1 answer
Create a generator from a list
Python
0 vote311 views1 answer
How to use list compression with conditional formatting
Python
0 vote361 views1 answer
Django update field after save
Python Django
0 vote304 views1 answer
Extract value from tensor pytorch
Python
11 votes303 views3 answers
Get yesterday date python
Python
0 vote307 views1 answer
What is tensor in deep learning
Python
0 vote307 views1 answer
Using django model translation with django rest
Python