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 two figures with multiple plots in each:
- Read the Iris data from Excel:
iris = pd.read_csv('iris_dataset.csv', delimiter=',')
- Clear the canvas to start a new figure:
plt.close('all')
- Define figure 1 and the associated layout and subplots:
fig = plt.figure(1, figsize=(12, 9))ax1 = plt.subplot2grid((3, 3), (0, 0))ax2 = plt.subplot2grid((3, 3), (0, 1), colspan=2)ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2, rowspan=2)ax4 = plt.subplot2grid((3, 3), (1, 2), rowspan=2)
- Plot the graphs on each of the four axes defined in step 3:
ax1.hist(iris['petal_width'])ax2.scatter(iris['petal_length'], iris['petal_width'], s=50*iris['petal_length']*iris['petal_width'], alpha=0.3)ax3.scatter(iris['sepal_length'], ...
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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.