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 draws three plots with various labels to demonstrate how these can be customized:
- Define the figure, layout, and size, with adequate space in between the plots:
fig, ax = plt.subplots(1, 3, figsize=(10,4))fig.subplots_adjust(wspace=0.7)
- Plot a histogram on the first axis with customized labels and title:
ax[0].hist(np.random.randn(1000))ax[0].set(xlabel='Bins', ylabel='Frequency')atitle = ax[0].set_title('Histogram', fontstyle='italic', fontsize=14)plt.setp(atitle,color='blue')
- Plot a bar graph on the second axis:
# Plot the bars for men's datamenMue = [3, 10, 100, 500, 50]menSigma = [0.75, 2.5, 25, 125, 12.5]index = np.arange(len(menMue)) # the x locations for the groupswidth = 0.35 # the width ...
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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.