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()
symlog demo

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.

Total running time of the script: ( 0 minutes 1.131 seconds)

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