How to group a Pandas DataFrame by column names and sum over each group in Python

Grouping a Pandas DataFrame by multiple columns and summing over each group creates a new DataFrame with one row for each group and calculates the sum per group of all columns which do not define the groups.

Solution for How to group a Pandas DataFrame by column names and sum over each group in Python : You can use pandas.DataFrame.groupby() and pandas.DataFrame.sum() group and sum the DataFrame Call DataFrame.groupby(by) with by as a column name or list of column names by which to group pandas.DataFrame.

With the result of the previous step as DataFrame, call DataFrame.sum() to compute the sum of the other columns in each group.


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