When examining some data, we might want to see several aspects of it at once. For instance, with population statistics data from one country, we would like to see the male/female age pyramid, the wealth repartition, and the population size per year as three distinct graphics. matplotlib offers the possibility to composite several figures together. Since Version 1.2, the API for this is really convenient. In this recipe, we are going to see how to compose several figures together.
We are going to use the pyplot.subplot2grid() function as follows:
import numpy as np from matplotlib import pyplot as plt T = np.linspace(-np.pi, np.pi, 1024) grid_size = (4, 2) plt.subplot2grid(grid_size, (0, 0), rowspan = 3, colspan = 1) plt.plot(np.sin(2 * T), np.cos(0.5 * T), c = 'k') plt.subplot2grid(grid_size, (0, 1), rowspan = 3, colspan = 1) plt.plot(np.cos(3 * T), np.sin(T), c = 'k') plt.subplot2grid(grid_size, (3, 0), rowspan=1, colspan=3) plt.plot(np.cos...