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You're reading from  Pandas 1.x Cookbook - Second Edition

Product typeBook
Published inFeb 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839213106
Edition2nd Edition
Languages
Python
Tools
Pandas
Concepts
Programming Language
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Authors (2):
Matt Harrison
Matt Harrison
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Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

Theodore Petrou
Theodore Petrou
author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

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Visualizing data with matplotlib

Matplotlib has a few dozen plotting methods that make nearly any kind of plot imaginable. Line, bar, histogram, scatter, box, violin, contour, pie, and many more plots are available as methods on the Axes object. It was only in version 1.5 (released in 2015) that matplotlib began accepting data from pandas DataFrames. Before this, data had to be passed to it from NumPy arrays or Python lists.

In this section, we will plot the annual snow levels for the Alta ski resort. The plots in this example were inspired by Trud Antzee (@Antzee_) who created similar plots of snow levels in Norway.

How to do it…

  1. Now that we know how to create axes and change their attributes, let's start visualizing data. We will read snowfall data from the Alta ski resort in Utah and visualize how much snow fell in each season: 
    >>> import pandas as pd
>>> import numpy as np
>>> alta = pd.read_csv(&apos...
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Pandas 1.x Cookbook - Second Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781839213106
© 2020 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

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