Skip to Content
Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

How to do it...

We have the coding as follows.

We first load all the imports used. We also set up matplotlib to draw graphics inline in our Notebook. We also preconfigure the image sizes:

import pandas as pdimport numpy as npimport statsmodels.formula.api as smimport matplotlib.pylab as plt%matplotlib inlinefrom matplotlib.pylab import rcParamsrcParams['figure.figsize'] = 15, 6

We read in the data and display the first few records:

data = pd.read_csv("Documents/grapeJuice.csv")data.head()

The following is the output:

We scale down the sales figures as the other factors are much smaller. Then we produce a scatter plot of the set:

data["sales"] ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Cookbook, 3rd Edition

Python Cookbook, 3rd Edition

David Beazley, Brian K. Jones
Pandas 1.x Cookbook - Second Edition

Pandas 1.x Cookbook - Second Edition

Matthew Harrison, Theodore Petrou
bash Cookbook, 2nd Edition

bash Cookbook, 2nd Edition

Carl Albing, JP Vossen

Publisher Resources

ISBN: 9781788839440Supplemental Content