Calling invert_yaxis() on a 3D plot has either no effect or removes ticks

Bug report

Bug summary

Using version 3.1.0, ax.invert_yaxis() does not work as expected when called on a 3D scatter plot. There seems to be no effect when it is called after populating the plot, while calling it before the plot inverts the data points correctly but moves all ticks to one point.

Code for reproduction

# Version 1: calling invert_yaxis() after populating the plot.
# Version 2 (omitted): calling invert_yaxis() after ax = fig.add_subplot(111, projection='3d')
# Using the official 3D scatter plot example. 

from mpl_toolkits.mplot3d import Axes3D 

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(19680801)

def randrange(n, vmin, vmax):
    '''
    Helper function to make an array of random numbers having shape (n, )
    with each number distributed Uniform(vmin, vmax).
    '''
    return (vmax - vmin)*np.random.rand(n) + vmin

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

n = 100

# For each set of style and range settings, plot n random points in the box
# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
    xs = randrange(n, 23, 32)
    ys = randrange(n, 0, 100)
    zs = randrange(n, zlow, zhigh)
    ax.scatter(xs, ys, zs, marker=m)

ax.invert_yaxis()
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')

plt.show()

Actual outcome when inverting axis after populating plot:

Actual outcome when inverting axis before populating plot:

Expected outcome

Using ax.set_ylim(105,-5):

Matplotlib version

Operating system: Ubuntu 18.04.2
Matplotlib version: 3.1.0
Matplotlib backend (print(matplotlib.get_backend())): TkAgg
Python version: 3.6.8
Jupyter version (if applicable):
Other libraries: Numpy 1.16.1

Matplotlib and Python were installed with pip.

Also posted on SO, https://stackoverflow.com/questions/56666916/inverting-axis-of-matplotlib-3d-plot-ruins-ticks

Bisects to #13330 (No surprise, a feature was added without tests!)

A slightly better test case

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(121, projection='3d')
ax2 = fig.add_subplot(122, projection='3d')
fig.suptitle(f"matplotlib v{matplotlib.__version__}")

#First plot, then invert
ax1.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax1.invert_yaxis()

#First invert, then plot
ax2.invert_yaxis()
ax2.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")

plt.show()

Actual output

First plotting, then inverting the axes (left) just does nothing. First inverting, then plotting (right) scrambles the ticks.

Expected output

same as in matplotlib 3.0.2:

Still not the expected output for me:

Bisects to #13330 (No surprise, a feature was added without tests!)

A slightly better test case
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(121, projection='3d')
ax2 = fig.add_subplot(122, projection='3d')
fig.suptitle(f"matplotlib v{matplotlib.__version__}")

#First plot, then invert
ax1.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")
ax1.invert_yaxis()

#First invert, then plot
ax2.invert_yaxis()
ax2.plot([1,1,10,10], [1,10,10,10], [1,1,1,10], marker="o")

plt.show()
Actual output

First plotting, then inverting the axes (left) just does nothing. First inverting, then plotting (right) scrambles the ticks.

Expected output

same as in matplotlib 3.0.2:

The same code output in macos m1. There is still a fatal problem.

@qizidog

@qizidog I think this ticket is old enough and has been closed long enough that your comment is unlikely to get noticed acted upon. @baloe created a new ticket (#21843) and that closed as duplicate of #21369. So please follow up there, if it makes sense, or open a new ticket.

This issue still exists in 3.2.2. I'm aware that it might be non-trivial to fix but it's a pretty big bug

This was supposed to have been fixed in 3.6.0. If it is not fixed please open a new issue with required information.

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Calling invert_yaxis() on a 3D plot has either no effect or removes ticks #14577

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Calling invert_yaxis() on a 3D plot has either no effect or removes ticks #14577

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ImportanceOfBeingErnest commented on Jun 19, 2019

baloe commented on Dec 2, 2021

qizidog commented on Jan 4, 2022

ivanov commented on Jan 5, 2022

HabibSlim commented on Nov 7, 2022

jklymak commented on Nov 7, 2022

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