The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons can be gleaned by studying this class.

It starts simple enough. Usually you will create a DataFrame by ingesting from a CSV file or database table or something. But you can whip up a small one like this:

import pandas as pd

df = pd . DataFrame ({ ' A ' : [ - 137 , 22 , - 3 , 4 , 5 ], ' B ' : [ 10 , 11 , 121 , 13 , 14 ], ' C ' : [ 3 , 6 , 91 , 12 , 15 ], })

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This gives you a DataFrame with three columns, labeled A, B and C. With rows of data, like so:

>>> print(df) A B C 0 -137 10 3 1 22 11 6 2 -3 121 91 3 4 13 12 4 5 14 15

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The first thing to notice is that DataFrame is a class. Once upon a time, there was no such thing as a DataFrame. Someone imagined it, and then coded it up.…