matplotlib get all axes that a given figure contains to apply some settings
axes, matplotlib
Solution
I think you can use `fig.get_axes()`.
For example, to modify the title of the first sub-plot, you can do:
plt.gcf().get_axes()[0].set_title("example plot")
Problem
I'm writing a function that modifies the axes size and position on a figure, but when comes twin axes it makes a problem: ``` import matplotlib.pyplot as plt def fig_layout(fig, vspace = 0.3): # function to make space at the bottom for legend box and #+ other text input for ax in ~~~fig.axes~~~: # Here 'fig.axes' is not right, I need to find the exact syntax #+ I need to put box = ax.get_position() ax.set_position([box.x0, box.y0 + box.height * vspace, box.width, box.height * (1 - vspace)]) x = np.arange(10) fig = plt.figure() ax1 = fig.add_subplot(1, 1, 1) n = 3 line = {} for i in range(3): line['lines'].append(ax1.plot(x, i*x**2)) line['labels'].append(r'$y = %i \cdot x^2$'%i) ax1.set_title('example plot') ax2 = ax1.twinx() line['lines'].append(ax2.plot(x, x^-1, label = r'$y = x^-1$')) line['labels'].append(r'$y = x^-1$') leg = ax1.legend(line['lines'], line['labels']) fig_layout(fig) # I will put the legend box at the bottom of the axes with another function. plt.show() ```