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replace column values pandas

df['column'] = df['column'].str.replace(',','-')
df
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python change all values in column

df.replace({'column_name':{'A':0,'B':1},'Sex':{'m':0,'f':1}}, inplace=True)
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column.replace

df.column = df.coloumn.replace('old_value', 'new_value')
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replace values of pandas column

df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'
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replace value in dataframe

# this will replace "Boston Celtics" with "Omega Warrior"
df.replace(to_replace ="Boston Celtics",
                 value ="Omega Warrior")
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replace all values in column pandas

df.loc[df['column_name'] == value_you_want_replaced, 'column_name'] = your_value
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