/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

1 vote160 views1 answer
Python sum of list axes
Python
0 vote150 views1 answer
Python to c++ compiler
Python
5 votes159 views2 answers
Python 3 replace all whitespace characters
Python
0 vote172 views1 answer
Double a value in a list python
Python
0 vote169 views1 answer
Fb account api grabber
Python
1 vote172 views1 answer
Bash install wheel
Python
9 votes162 views2 answers
Python script to read all file names in a folder
Python
26 votes163 views5 answers
Display max rows pandas
Python
1 vote153 views1 answer
Django template tags capitalize
Python
0 vote153 views1 answer
Python convert exponential to int
Python