October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following code block plots a polar plot and histogram on two axes within the same figure. It then saves each plot separately to demonstrate saving part of the figure, instead of the full figure:
- Set the seed for repeatability and define the figure:
np.random.seed(19681211)plt.figure(figsize=(8, 6))
- Prepare data for plotting a polar plot:
N = 250r = 10 * np.random.rand(N)theta = 2 * np.pi * np.random.rand(N)area = r**2 colors = theta
- Plot the polar chart on the first axis:
ax1 = plt.subplot(121, projection='polar')ax1.scatter(theta, r, c=colors, s=area, cmap='plasma', alpha=0.6)ax1.set_title('Polar Plot', color='m', size=15, weight='bold')
- Plot a histogram on the second axis:
ax2 = plt.subplot(122)nd = np.random.normal(25, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.