import matplotlib.pyplot as plt
fig, ax = plt.subplots(constrained_layout=True)

ax.plot([.2,.4,.6,.8],[.2, .4, .5, .9])
ax.set_xscale('logit')

plt.show()

import matplotlib.pyplot as plt
fig, ax = plt.subplots()

ax.plot([.2,.4,.6,.8],[.2, .4, .5, .9])
ax.set_xscale('logit')

fig.tight_layout()
plt.show()

D:\...\envs\mplgit\lib\site-packages\numpy\core\_methods.py:29: RuntimeWarning: invalid value encountered in reduce
  return umr_minimum(a, axis, None, out, keepdims)
D:\...\envs\mplgit\lib\site-packages\numpy\core\_methods.py:26: RuntimeWarning: invalid value encountered in reduce
  return umr_maximum(a, axis, None, out, keepdims)
posx and posy should be finite values
posx and posy should be finite values
posx and posy should be finite values
posx and posy should be finite values
posx and posy should be finite values
posx and posy should be finite values
posx and posy should be finite values

Traceback (most recent call last):
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\backends\backend_qt5.py", line 513, in _draw_idle
    self.draw()
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\backends\backend_agg.py", line 421, in draw
    self.figure.draw(self.renderer)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\artist.py", line 50, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\figure.py", line 1478, in draw
    renderer, self, artists, self.suppressComposite)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\image.py", line 138, in _draw_list_compositing_images
    a.draw(renderer)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\artist.py", line 50, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\axes\_base.py", line 2583, in draw
    mimage._draw_list_compositing_images(renderer, self, artists)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\image.py", line 138, in _draw_list_compositing_images
    a.draw(renderer)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\artist.py", line 50, in draw_wrapper
    return draw(artist, renderer, *args, **kwargs)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\axis.py", line 1177, in draw
    ticks_to_draw = self._update_ticks(renderer)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\axis.py", line 1017, in _update_ticks
    tick_tups = list(self.iter_ticks())  # iter_ticks calls the locator
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\axis.py", line 961, in iter_ticks
    majorLocs = self.major.locator()
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\ticker.py", line 1922, in __call__
    return self.tick_values(vmin, vmax)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\ticker.py", line 1930, in tick_values
    locs = self._raw_ticks(vmin, vmax)
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\ticker.py", line 1876, in _raw_ticks
    nbins = np.clip(self.axis.get_tick_space(),
  File "d:\...\python\matplotlib\source\matplotlibgit\matplotlib\lib\matplotlib\axis.py", line 2503, in get_tick_space
    return int(np.floor(length / size))
ValueError: cannot convert float NaN to integer