Matplotlib 3.0 Cookbook

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In the preceding example, we used width_ratios and height_ratios arguments to define the required grid using GridSpec(). The same arguments can be passed on to plt.subplots() to plot a similar grid that we created in the preceding example. Here is the code:

widths = [2, 3, 1.5]heights = [1, 3, 2]t = np.arange(0.0, 1.0, 0.01)s = np.sin(2*np.pi*t)### Passing keyword specs to pltgs_kw = dict(width_ratios=widths, height_ratios=heights)fig, axes = plt.subplots(ncols=3, nrows=3, figsize=(10,8), gridspec_kw=gs_kw)for r, row in enumerate(axes):    for c, ax in enumerate(row):        ax.plot(t, s)        label = 'Width: {}\nHeight: {}'.format(widths[c], heights[r])                 ax.annotate(label, (0.1, 0.5), xycoords='axes                   fraction', va='center')fig.tight_layout() ...