Answers for "replace certain values in a column pandas"

Python

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

Posted by: Guest on May-14-2020

Source

replace column values pandas

df['column'] = df['column'].str.replace(',','-')
df

Posted by: Guest on February-25-2020

Source

replacing values in pandas dataframe

df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')

Posted by: Guest on May-11-2020

how to replace values in column pandas

# this will replace "Boston Celtics" with "Omega Warrior"
df.replace(to_replace ="Boston Celtics",
                 value ="Omega Warrior")

Posted by: Guest on May-09-2021

Source

replace values of pandas column

df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'

Posted by: Guest on June-26-2020

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