pandas conditional replace values in a series

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showing results for - "pandas conditional replace values in a series"
Naomi
29 Jun 2016
1In [41]:
2df.loc[df['First Season'] > 1990, 'First Season'] = 1
3df
4
5Out[41]:
6                 Team  First Season  Total Games
70      Dallas Cowboys          1960          894
81       Chicago Bears          1920         1357
92   Green Bay Packers          1921         1339
103      Miami Dolphins          1966          792
114    Baltimore Ravens             1          326
125  San Franciso 49ers          1950         1003
source
Miguel Ángel
02 Aug 2020
1# np.where function works as follows:
2import numpy as np
3
4# E.g. 1 - Set column values based on if another column is greater than or equal to 50
5df['X'] = np.where(df['Y'] >= 50, 'yes', 'no')
6
7# E.g. 2 - Replace values over 20000 with 0, otherwise keep original value
8df['my_value'] = np.where(df.my_value > 20000, 0, df.my_value)
source
Isaure
05 Sep 2019
1df.loc[df['First Season'] > 1990, 'First Season'] = 1
2
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