Closed
Description
Bug summary
Setting ax.set_xscale('log') introduces unwanted minor ticks, even when set_xticks specifies minor=False.
Code for reproduction
import matplotlib.pyplot as plt
import numpy as np
N = np.array([3, 5, 7, 9])
s = np.ones_like(N)
fig, ax = plt.subplots()
ax.plot(1/N, s)
ax.set_xlabel('1/N')
ax.set_xscale('log')
ax.set_xticks(1./N, labels=[f'1/{each_n}' for each_n in N], minor=False)
# ax.minorticks_off()Actual outcome
A figure with a constant dataset, with xticks at 1/9, 1/7, 1/5, and 1/3, but ALSO at 3x10^-1, which is unwanted.
What is that extra tick doing there?
Expected outcome
The figure that results from uncommenting the minorticks_off command in the example,
Additional information
Happens with errorbar instead of plot. Haven't tested other ways to draw.
In the above example if you put the set_xscale after the set_xticks then the requested xticks are completely ignored.
If you comment out the log scale, the ticks are as expected (but of course the scale isn't what is desired).
Operating system
MacOS 14.2.1 (M2 from 2022)
Matplotlib Version
3.5.2
Matplotlib Backend
module://matplotlib_inline.backend_inline
Python version
Python 3.11.7
Jupyter version
4.0.5
Installation
conda