Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Dataframe.assign() method assign new columns to a DataFrame, returning a new object (a copy) with the new columns added to the original ones. Existing columns that are re-assigned will be overwritten.
Length of newly assigned column must match the number of rows in the dataframe.
kwargs : keywords are the column names. If the values are callable, they are computed on the DataFrame and assigned to the new columns. The callable must not change input DataFrame (though pandas don’t check it). If the values are not callable, (e.g. a Series, scalar, or array), they are simply assigned.
Returns: A new DataFrame with the new columns in addition to all the existing columns.
For link to CSV file Used in Code, click here
Example #1: Assign a new column called
Revised_Salary with 10% increment of the original Salary.
Example #2: Assigning more than one column at a time
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