Hide "inner" {x,y}labels in label_outer too. #6619
Conversation
`ax.label_outer` used to hide only "inner" ticklabels; make it hide axes labels too. (I couldn't find a way to just switch label visibility, so I just set the labels to the empty string instead.)
|
@anntzer I didn't find an example of """
When plotting a grid of subplots that share axes, it might be interesting
to display only some of the tick labels as well as some of the axes labels.
The `label_outer` method provides a convenient way of dealing with this
by setting visible only the x tick and axis labels of the bottom row and
the y tick and axis labels of the left column.
"""
import matplotlib.pyplot as plt
import numpy as np
# Dummy data to plot
t = np.linspace(0.0, 5.0, 501)
s1 = 1.25 * np.sin(2*np.pi*t)
s2 = np.exp(-t)
s3 = np.sin(4*np.pi*t)
s4 = np.sin(2*np.pi*t) * np.exp(-t)
# Instantiate a 2x2 subplot grid with both shared x and y axes.
fig, axs = plt.subplots(ncols=2, nrows=2, sharex=True, sharey=True)
# Plot a data signal in each subplot and display:
# - y tick and axis labels only for the first column;
# - x tick and axis labels only for the last row.
for ax, s, title in ((axs[0, 0], s1, 'Left labels ON'),
(axs[0, 1], s2, 'All labels OFF'),
(axs[1, 0], s3, 'Left & bottom labels ON'),
(axs[1, 1], s4, 'Bottom labels ON')):
ax.plot(t, s)
ax.set_xlabel('This is x-axis')
ax.set_ylabel('This is y-axis')
ax.label_outer() # Display only the "relevant" tick & axis labels.
ax.set_title(title)
plt.show()if one wants to add a simple stand-alone example. And if one doesn't like such a small stand-alone example, then the example subplots_demo may be a good place to add the same kind of example. For the moment (without the current PR), the provided snippet results in |
|
I updated |
|
Nice! In fact, I hadn't directly proposed to modify the existing example in the case someone thought it would be useful to keep an example of the “cosmetricks” like plt.setp([a.get_xticklabels() for a in axarr[0, :]], visible=False)
plt.setp([a.get_yticklabels() for a in axarr[:, 1]], visible=False)which might give more fine-tuning possibilities if one doesn't simply want to label only the “outer” subplots. However if one had to choose, as |
|
If I wasn't clear in my previous comment: I agree with you about |
ax.label_outerused to hide only "inner" ticklabels; make it hide axeslabels too. (I couldn't find a way to just switch label visibility, so
I just set the labels to the empty string instead.)