Mastering Python for Data Science

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: