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Mastering Matplotlib 2.x

You're reading from   Mastering Matplotlib 2.x Effective Data Visualization techniques with Python

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789617696
Length 214 pages
Edition 1st Edition
Languages
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Author (1):
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Benjamin Walter Keller Benjamin Walter Keller
Author Profile Icon Benjamin Walter Keller
Benjamin Walter Keller
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Toc

Playing with polygons and shapes

This section talks about how to add polygons and other shapes and the different built-in shapes that Matplotlib provides.

Adding polygons and shapes to our plots

We will begin by importing what we need to from Matplotlib, as shown here:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))

We will use the same sign plot as in the earlier section, Adding text to both axis and figure objects. As shown in the following output, this is the most basic sine plot and no annotations...

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