To split a Python Pandas dataframe based on groupby, we can yuse the groupby method and then call get_group to get data frames from the groups.
For instance, we write
gb = df.groupby('ZZ')
[gb.get_group(x) for x in gb.groups]
to call groupby to group by the ZZ column.
And then we use list comprehension to call get_group on the gb grouped data frame object with x to return the data frame for each grouped item.
