使用 sharey= 删除子图上的 y 轴刻度标签<other_axis>

Question

I'm trying to create a multi-plot figure with subplots on python 3.7 and matplotlib. I have the plot set up where the first subplot (ax1) has ax1.set_ylim() and ax2=plt.subplot(122, sharey=ax1)

However, I would like to turn off the y-tick labels on ax2. When I do so via ax2.set_yticks([]) , the tickmarks on both subplots go away (probably because of the sharey ). See example below

import matplotlib.pyplot as plt
import numpy as np

# create data 
data1 = np.random.rand(10, 10)
data2 = np.random.rand(10, 10)

# plot data
fig = plt.figure(figsize=(8, 4))
ax1 = plt.subplot(121)
ax1.imshow(data1)
ax1.set_ylim(0,5)

ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
ax2.imshow(data2)
ax2.set_yticks([])

plt.show()

Without setting ax2.set_yticks([]) , I get the following: But when I set ax2.set_yticks([]) , both axes go away:

Is there a better way to do this? I'd like to have the y-axis labels on the left plot but not on the right.

Answer 1

You can try this also:

import matplotlib.pyplot as plt
import numpy as np

# create data 
data1 = np.random.rand(10, 10)
data2 = np.random.rand(10, 10)

# plot data
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4), sharey=True)
ax1.imshow(data1)
ax1.set_ylim(0,5)

ax2.imshow(data2)

plt.show()

Output: