In Matplotlib, I set an axis label using: axes1.set_ylabel('....')
If I have three axes, is there a way to use a loop to do the following?:
for i in range(3):
axes[i].set_ylabel('AVG')
Of course, this is not correct syntax as I'm not using a list/dictionary. However, does anyone have any recommendations?
Here's what I use for multiple vertical-only axes:
f, axes = plt.subplots(nrows=3, ncols=1, figsize=(12,5))
try:
iter(axes) # Check if axes can be iterated over
except TypeError:
axes = [axes] # If not, then make it into a list
for ax in axes:
ax.plot(x, y)
ax.set_ylabel('AVG')
Usually I even change the figure size depending on how many rows I have. Doing this gets a little complicated if you have ncols > 1
. Therefore this is for vertical-only plots.
Put your axes in a list:
my_axes = []
for n in range(1, 4):
my_axes.append(fig.add_subplot(1, 3, n))
for ax in my_axes:
ax.set_ylabel('AVG')
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