Unexpected keyword argument 'basex' when following the Getting Started base-2 log scale example

• Python version: Python 3.10.1 (v3.10.1:2cd268a3a9, Dec 6 2021, 14:28:59)
• Numpy Version: 1.21.5
• matplotlib version 3.5.1:
• mpl-probscale version: 0.2.3
• Operating System: macOS Moterrey Version 12.2.1

Description

Working through the Getting Started section, on the second example with base-2 log scales, I get the following error:

TypeError: LogScale.__init__() got an unexpected keyword argument 'basex'

Changing basex to base resolves the issue.

What I Did

import numpy
from matplotlib import pyplot as plt
from scipy import stats
import seaborn

clear_bkgd = {'axes.facecolor': 'none', 'figure.facecolor': 'none'}
seaborn.set(style='ticks', context='talk', color_codes=True, rc=clear_bkgd)

fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(8, 3))
ax1.set_xscale('log')
ax1.set_xlim(left=1e-3, right=1e3)
ax1.set_xlabel("Base 10")
ax1.set_yticks([])

ax2.set_xscale('log', basex=2)
ax2.set_xlim(left=2**-3, right=2**3)
ax2.set_xlabel("Base 2")
ax2.set_yticks([])

seaborn.despine(fig=fig, left=True)

plt.show()

Traceback:

>>> Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/ricardo/Documents/Sandbox/Python/probscale_examples.py", line 17, in <module>
    ax2.set_xscale('log', basex=2)
  File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/matplotlib/axes/_base.py", line 3777, in set_xscale
    ax.xaxis._set_scale(value, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/matplotlib/axis.py", line 761, in _set_scale
    self._scale = mscale.scale_factory(value, self, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/matplotlib/scale.py", line 597, in scale_factory
    return scale_cls(axis, **kwargs)
TypeError: LogScale.__init__() got an unexpected keyword argument 'basex'

Apri la sezione Getting Started dell’esempio integrato sulle scale di Matplotlib collegato e confronta l’esempio in base 2 con l’errore di Matplotlib segnalato. Aggiorna la parola chiave obsoleta e verifica che l’esempio venga eseguito senza l’eccezione relativa a una parola chiave imprevista.