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Description
Bug summary
Instead of inverting the yaxis, invert_yaxis actually has the same effect as invert_xaxis:
The demo code is derived from the demo here.
Code for reproduction
import matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(9,3.5), dpi=80)
ax1 = fig.add_subplot(141, projection='3d')
ax2 = fig.add_subplot(142, projection='3d')
ax3 = fig.add_subplot(143, projection='3d')
ax4 = fig.add_subplot(144, projection='3d')
fig.suptitle(f"matplotlib v{matplotlib.__version__}")
ax1.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax2.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax3.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax4.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax2.invert_xaxis()
ax3.invert_yaxis()
ax4.invert_zaxis()
plt.show()Actual outcome
Expected outcome
(well ... somewhat like this)
Additional information
This was worked on here, but apparently did not fix my issue, or am I missing something?
0e41317
#14579
Matplotlib Version
3.5.0
Installation
conda
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