/Python/Pandas conditional replace values in a series

Pandas conditional replace values in a series

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

Similar codes

-1 vote110 views1 answer
AttributeError: __enter__ in python cde
Python
0 vote113 views1 answer
Compute difference of all the combinations of 2 arrays
Python
0 vote140 views1 answer
Python declare variable type array
Python
-1 vote106 views1 answer
Python how to make a user input function
Python
0 vote122 views1 answer
Arch linux python 3.7
Python
0 vote116 views1 answer
Pe039
Python
1 vote115 views2 answers
Rename files in a folder python
Python
3 votes103 views1 answer
Python csv write add new line
Python
0 vote115 views1 answer
Colorama input python
Python
10 votes122 views1 answer
Pandas select by column value
Python