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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

Scatter plot

In this recipe, we will learn how to plot a scatter plot in 3D. We will use the Iris dataset, which has three distinct clusters, for this example. We have seen it in 2D several times in previous chapters, so let's see how it looks in 3D.

We will also learn how to create an animated 3D plot using the init_view method that we learned in the preceding recipe. For this, we need to use any of the backends, since animation does not work with the inline display %matplotlib inline.

Getting ready

Set the desired backend:

import matplotlib
matplotlib.use('tkAgg')

Import the required libraries:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
...
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