import matplotlib.pyplot as plt
import numpy as np

dt = 0.01
x = np.arange(-50.0, 50.0, dt)
y = np.arange(0, 100.0, dt)

plt.subplot(311)
plt.plot(x, y)
plt.xscale('symlog')
plt.ylabel('symlogx')
plt.grid(True)
plt.gca().xaxis.grid(True, which='minor')  # minor grid on too

plt.subplot(312)
plt.plot(y, x)
plt.yscale('symlog')
plt.ylabel('symlogy')

plt.subplot(313)
plt.plot(x, np.sin(x / 3.0))
plt.xscale('symlog')
plt.yscale('symlog', linthreshy=0.015)
plt.grid(True)
plt.ylabel('symlog both')

plt.subplots_adjust(hspace=0.5, left=0.2)

plt.show() 

　

Traceback (most recent call last):
  File "M:\______\symlog_demo.py", line 23, in 
    plt.yscale('symlog', linthreshy=0.015)
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\pyplot.py", line 3113, in yscale
    return gca().set_yscale(value, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\axes\_base.py", line 74, in wrapper
    return get_method(self)(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\axis.py", line 810, in _set_axes_scale
    ax._axis_map[name]._set_scale(value, **kwargs)
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\axis.py", line 767, in _set_scale
    self._scale = mscale.scale_factory(value, self, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\scale.py", line 714, in scale_factory
    return scale_cls(axis, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: SymmetricalLogScale.__init__() got an unexpected keyword argument 'linthreshy' 

Traceback (most recent call last):
  File "E:\______\symlog_demo.py", line 23, in 
    plt.yscale('symlog', linthreshy=0.015)
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\pyplot.py", 
    line 4167, in yscale
    gca().set_yscale(value, **kwargs)
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\axes\_base.py", 
    line 73, in wrapper
    return get_method(self)(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\axis.py", 
    line 837, in _set_axes_scale
    ax._axis_map[name]._set_scale(value, **kwargs)
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\axis.py", 
    line 796, in _set_scale
    self._scale = mscale.scale_factory(value, self, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\scale.py", 
    line 717, in scale_factory
    return scale_cls(axis, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: SymmetricalLogScale.__init__() got an unexpected keyword argument 'linthreshy' 

"""
===========
Symlog Demo
===========

Example use of symlog (symmetric log) axis scaling.
"""
import matplotlib.pyplot as plt
import numpy as np

dt = 0.01
x = np.arange(-50.0, 50.0, dt)
y = np.arange(0, 100.0, dt)

fig, (ax0, ax1, ax2) = plt.subplots(nrows=3)

ax0.plot(x, y)
ax0.set_xscale('symlog')
ax0.set_ylabel('symlogx')
ax0.grid()
ax0.xaxis.grid(which='minor')  # minor grid on too

ax1.plot(y, x)
ax1.set_yscale('symlog')
ax1.set_ylabel('symlogy')

ax2.plot(x, np.sin(x / 3.0))
ax2.set_xscale('symlog')
ax2.set_yscale('symlog', linthresh=0.015)
ax2.grid()
ax2.set_ylabel('symlog both')

fig.tight_layout()
plt.show()

# %%
# It should be noted that the coordinate transform used by ``symlog``
# has a discontinuous gradient at the transition between its linear
# and logarithmic regions. The ``asinh`` axis scale is an alternative
# technique that may avoid visual artifacts caused by these discontinuities.

# %%
#
# .. admonition:: References
#
#    - `matplotlib.scale.SymmetricalLogScale`
#    - `matplotlib.ticker.SymmetricalLogLocator`
#    - `matplotlib.scale.AsinhScale` 

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、正常実行です。

　

• 2023/12/06 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/12/06 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/04/04 Ver=1.03 Python 3.11.2 で確認
• 2020/11/01 Ver=1.01 Python 3.7.8 で確認
• 2018/12/04 Ver=1.01 初版リリース

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