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Matplotlib 3.0 Cookbook
book

Matplotlib 3.0 Cookbook

by Srinivasa Rao Poladi, Nikhil Borkar
October 2018
Beginner to intermediate
676 pages
18h 30m
English
Packt Publishing
Content preview from Matplotlib 3.0 Cookbook

Getting ready

The input data in the current form is called wide form, as each item is represented in a column, increasing the width of the table. We need to create another dataset that is of a long format, where all the items are merged into one column, increasing the number of rows or the depth of the table.

The following is the code to achieve this:

# Create a long form DataFrame from wide form DFlong_sales = pd.melt(snacks_sales, var_name='Item', value_name='Sales',                     id_vars=['daywk', 'weekend', 'Date', 'Promotion',                      'Period', 'Month', 'Quarter'])long_sales.shape          # dimensions, number of rows and columnslong_sales.sample(n=5)    # Display random 5 sample rows

Here is how five random rows in the dataset look:

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Publisher Resources

ISBN: 9781789135718