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Matplotlib 3.0 Cookbook

You're reading from  Matplotlib 3.0 Cookbook

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789135718
Pages 676 pages
Edition 1st Edition
Languages
Authors (2):
Srinivasa Rao Poladi Srinivasa Rao Poladi
Profile icon Srinivasa Rao Poladi
Nikhil Borkar Nikhil Borkar
Profile icon Nikhil Borkar
View More author details

Table of Contents (17) Chapters

Preface 1. Anatomy of Matplotlib 2. Getting Started with Basic Plots 3. Plotting Multiple Charts, Subplots, and Figures 4. Developing Visualizations for Publishing Quality 5. Plotting with Object-Oriented API 6. Plotting with Advanced Features 7. Embedding Text and Expressions 8. Saving the Figure in Different Formats 9. Developing Interactive Plots 10. Embedding Plots in a Graphical User Interface 11. Plotting 3D Graphs Using the mplot3d Toolkit 12. Using the axisartist Toolkit 13. Using the axes_grid1 Toolkit 14. Plotting Geographical Maps Using Cartopy Toolkit 15. Exploratory Data Analysis Using the Seaborn Toolkit 16. Other Books You May Enjoy

Bar plot

Bar plots are the graphs that use bars to compare different categories of data. Bars can be shown vertically or horizontally, based on which axis is used for a categorical variable. Let's assume that we have data on the number of ice creams sold every month in an ice cream parlor over a period of one year. We can visualize this using a bar plot.

Getting ready

We will use the Python calendar package to map numeric months (1 to 12) to the corresponding descriptive months (January to December).

Before we plot the graph, we need to import the necessary packages:

import matplotlib.pyplot as plt
import numpy as np
import calendar
...
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