Python

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


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

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

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

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

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

# You can use replace and pass the strings to find/replace as dictionary keys/items:
df.replace({'
': '<br/>'}, regex=True)

df.replace([0, 1, 2, 3], [4, 3, 2, 1])

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