I'm using matplotlib to plot my data in a 4x2 grid of subplots. The matplotlib.pyplot.tight_layout automatically fits the subplots, legend, and text labels into a figure that I can save as png. However, when the legend is extremely long, tight_layout seems to add extra horizontal space to some subplots. What is the most efficient way to avoid this extra space? The subplots_adjust function looks promising, but there's a lot of trial-and-error to adjust everything and I'm hoping to find a quicker automated solution using tight_layout. My MWE is: import numpy as np import matplotlib.pyplot as plt t = np.linspace(-5,5,100) x1 = np.sin(t) x2 = np.cos(t) x3 = np.sin(2*t) x4 = np.cos(2*t) x5 = 2*np.sin(t) x6 = 2*np.cos(t) x7 = np.sin(0.5*t) x8 = np.cos(0.5*t) fig, ax = plt.subplots(nrows=4, ncols=2, figsize=(10, 7)) for r in range(4): for c in range(2): ax[r,c].plot(t,x1,label='preliminary 1') ax[r,c].plot(t,x2,label='preliminary 2') ax[r,c].plot(t,x3,label='trial 1, result 1') ax[r,c].plot(t,x4,label='trial 1, result 2') ax[r,c].plot(t,x5,label='trial 1, result 6') ax[r,c].plot(t,x6,label='trial 4, result 1') ax[r,c].plot(t,x7,label='trial 12, result 2') ax[r,c].plot(t,x8,label='trial 15, result 2') ax[0,1].legend(loc='best', bbox_to_anchor = (0.3, -1.1, 1.2, 2)) plt.tight_layout() plt.savefig('myfig.png') plt.show() Continue reading...
