August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data Science
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Creating multiple plots
One very useful feature of matplotlib is that it makes it easy to plot multiple plots, which can be compared to each other:
>>> p1 = np.arange(0.0, 30.0, 0.1) >>> plt.subplot(211) >>> plt.plot(p1, np.sin(p1)/p1, 'b--') >>> plt.subplot(212) >>> plt.plot(p1, np.cos(p1), 'r--') >>> plt.show()
In the preceding code, we use a subplot function is used to plot multiple plots that need to be compared. A subplot with a value of 211 means that there will be two rows, one column, and one figure:
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