find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')
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
replace column values pandas
df['column'] = df['column'].str.replace(',','-')
df
replacing values in pandas dataframe
df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')
how to replace values in column pandas
# this will replace "Boston Celtics" with "Omega Warrior"
df.replace(to_replace ="Boston Celtics",
value ="Omega Warrior")
python replace all values in a column
df["column1"].replace({"a": "x", "b": "y"}, inplace=True)
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