Views can view multiple axes at the same time, by simply calling matplotview.view() multiple times.
7 import matplotlib.pyplot as plt 8 from matplotview import view 9 10 fig, (ax1, ax2, ax3) = plt.subplots(1, 3) 11 12 # We'll plot 2 circles in axes 1 and 3. 13 ax1.add_patch(plt.Circle((1, 1), 1.5, ec="black", fc=(0, 0, 1, 0.5))) 14 ax3.add_patch(plt.Circle((3, 1), 1.5, ec="black", fc=(1, 0, 0, 0.5))) 15 for ax in (ax1, ax3): 16 ax.set_aspect(1) 17 ax.relim() 18 ax.autoscale_view() 19 20 # Axes 2 is a view of 1 and 3 at the same time (view returns the axes it turns into a view...) 21 view(view(ax2, ax1), ax3) 22 23 # Change data limits, so we can see the entire 'venn diagram' 24 ax2.set_aspect(1) 25 ax2.set_xlim(-0.5, 4.5) 26 ax2.set_ylim(-0.5, 2.5) 27 28 fig.show()
Total running time of the script: (0 minutes 0.188 seconds)
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