replace column values pandas
df['column'] = df['column'].str.replace(',','-')
dfreplace column values pandas
df['column'] = df['column'].str.replace(',','-')
dfchange column value based on another column pandas
# Changes the 'is_electric' column based on value in the 'type' column
# If the 'type' column == 'electric' then the 'is_electric' becomes 'YES'
df['is_electric']= df['type'].apply(lambda x: 'YES' if (x == 'electric') else 'NO')replace values of pandas column
df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'pandas replace data in specific columns with specific values
### replace one value ###
df["column"].replace("US","UK") # you can also use numerical values
### replace more than one value ###
df["column"].replace(["man","woman","child"],[1,2,3]) # you can also use numerical values
# man ==> 1
# woman ==> 2
# child ==> 3Copyright © 2021 Codeinu
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