As a data scientist, I find GroupBy to be one of the most useful operations in Pandas. It is used to group large amounts of data and compute operations on these groups. Since there are many operations ...

import pandas as pd df = pd.DataFrame(dict(A=[1,1,2,2,3], B=[4,4,5,5,6])) def f(x): return x['A'] < 'taco' df.groupby('A').apply(f) Results in three exceptions stacked on top of each other. See below.

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...