Matplotlib log log plot not displaying all major and minor ticks when using loglocator and different-CodePudding

I am making a log log plot and using matplotlib. I am using loglocator to make sure the relevant major and minor ticks are displayed. However, I noticed that when the x and y limits are different, some ticks and tick labels and missing: (see figure)

Below there is a simple example that produces this undesired behaviour. Any help would be greatly appreciated.

import matplotlib.pyplot as plt
import numpy as np
import matplotlib

Npoints=100
xs=np.logspace(-8,0, 100)
ys=xs

fig=plt.figure(figsize=(4,3))
ax=fig.add_subplot(111)
ax.plot(xs, ys)
ax.set_xscale('log')
ax.set_yscale('log')

locmaj = matplotlib.ticker.LogLocator(base=10,numticks=100) 
locmin = matplotlib.ticker.LogLocator(base=10,subs=np.arange(2, 10) * .1,numticks=100) # subs=(0.2,0.4,0.6,0.8)

ax.yaxis.set_major_locator(locmaj)
ax.yaxis.set_minor_locator(locmin)
ax.yaxis.set_minor_formatter(matplotlib.ticker.NullFormatter())

ax.xaxis.set_major_locator(locmaj)
ax.xaxis.set_minor_locator(locmin)
ax.xaxis.set_minor_formatter(matplotlib.ticker.NullFormatter())

ax.set_xlim(1.0e-3, 1.0)
ax.set_ylim(1.0e-8, 1.0)

plt.show()

CodePudding user response：

In general, Locator instances should not be reused on different axes. From the