I\'m running the following function:
def plot_variance_analysis(indices, stat_frames, legend_labels, shape):
x = np.linspace(1, 5, 500)
fig, axes = p
You can find extra information about labels of matplotlib here: https://matplotlib.org/3.1.3/api/_as_gen/matplotlib.axes.Axes.tick_params.html
In my case, I need to turn on all the x and y labels and this solution works:
for ax in axes.flatten():
ax.xaxis.set_tick_params(labelbottom=True)
ax.yaxis.set_tick_params(labelleft=True)