/Python/Pandas replace values based on condition

Pandas replace values based on condition

Pandas replace values in column based on condition

In [41]:
df.loc[df['First Season'] > 1990, 'First Season'] = 1

df

Out[41]:
                 Team  First Season  Total Games
0      Dallas Cowboys          1960          894
1       Chicago Bears          1920         1357
2   Green Bay Packers          1921         1339
3      Miami Dolphins          1966          792
4    Baltimore Ravens             1          326
5  San Franciso 49ers          1950         1003

Source: stackoverflow.com

Pandas conditional replace values in a series

# np.where function works as follows:
import numpy as np

# E.g. 1 - Set column values based on if another column is greater than or equal to 50
df['X'] = np.where(df['Y'] >= 50, 'yes', 'no')

# E.g. 2 - Replace values over 20000 with 0, otherwise keep original value
df['my_value'] = np.where(df.my_value > 20000, 0, df.my_value)

Source: stackoverflow.com

Pandas replace values based on condition

df.loc[df['First Season'] > 1990, 'First Season'] = 1

Replace values in a column by condition python

df.loc[df['employrate'] > 70, 'employrate'] = 7

Source: stackoverflow.com

Similar codes

0 vote267 views2 answers
How to get current page url in django template
Python
0 vote272 views1 answer
Print lowercase in python
Python
0 vote280 views1 answer
Generator comprehension python
Python
12 votes275 views1 answer
Python check if has attribute
Python
1 vote243 views1 answer
Python how to set multiple conditional for single var
Python
1 vote272 views3 answers
Ord() python
Python
0 vote294 views1 answer
Python subprocess.run output
Python
0 vote268 views1 answer
Python for loop get iteration number
Python
0 vote226 views2 answers
Python remove empty lines
Python
0 vote273 views1 answer
Python size of linked list
Python