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Instead of inverting the yaxis, invert_yaxis actually has the same effect as invert_xaxis:
invert_yaxis
invert_xaxis
The demo code is derived from the demo here.
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()
(well ... somewhat like this)
This was worked on here, but apparently did not fix my issue, or am I missing something? 0e41317 #14579
3.5.0
conda
The text was updated successfully, but these errors were encountered:
Thanks for reporting with a clear example! I'm going to close this as a duplicate of #21369
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Bug summary
Instead of inverting the yaxis,
invert_yaxis
actually has the same effect asinvert_xaxis
:The demo code is derived from the demo here.
Code for reproduction
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
The text was updated successfully, but these errors were encountered: