To create new column based on values from other columns or apply a function of multiple columns, row-wise with Python Pandas, we can use the apply method.
For instance, we write
df['col_3'] = df.apply(lambda x: f(x.col_1, x.col_2), axis=1)
to call apply on data frame df with a lambda function that calls function f on the col_1 and col_2 column values.
And then we assign the returned values to column col_3.
