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You're reading from  Hands-On Data Preprocessing in Python

Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
Tools
PyTorchAzure Functions
Concepts
Big Data
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Author (1)
Roy Jafari
Roy Jafari
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Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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Drawing the main plots in Matplotlib

Drawing visuals with Matplotlib is easy. All you need is the right input and a correct understanding of the data. The main five visuals that we use in Matplotlib to draw are histograms, boxplots, bar charts, line plots, and scatterplots. Let's introduce them with the following examples.

Summarizing numerical attributes using histograms or boxplots

We already draw histograms using Pandas, which we learned about in the Pandas functions to explore a DataFrame section in the previous chapter. However, the same plot can also be drawn using Matplotlib. The following screenshot shows the best and most common way to import Matplotlib. There are two points here:

  1. First, you want to use the plt alias, as everyone else uses that.
  2. Second, you want to import matplotlib.pyplot instead of just matplotlib, as everything we will need from matplotlib is under .pyplot.

The second chunk of code in the following screenshot shows how easy...

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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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