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"""
===============
Scales overview
===============
Illustrate the scale transformations applied to axes, e.g. log, symlog, logit.
See `matplotlib.scale` for a full list of built-in scales, and
:doc:`/gallery/scales/custom_scale` for how to create your own scale.
"""
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(400)
y = np.linspace(0.002, 1, 400)
fig, axs = plt.subplots(3, 2, figsize=(6, 8), layout='constrained')
axs[0, 0].plot(x, y)
axs[0, 0].set_yscale('linear')
axs[0, 0].set_title('linear')
axs[0, 0].grid(True)
axs[0, 1].plot(x, y)
axs[0, 1].set_yscale('log')
axs[0, 1].set_title('log')
axs[0, 1].grid(True)
axs[1, 0].plot(x, y - y.mean())
axs[1, 0].set_yscale('symlog', linthresh=0.02)
axs[1, 0].set_title('symlog')
axs[1, 0].grid(True)
axs[1, 1].plot(x, y)
axs[1, 1].set_yscale('logit')
axs[1, 1].set_title('logit')
axs[1, 1].grid(True)
axs[2, 0].plot(x, y - y.mean())
axs[2, 0].set_yscale('asinh', linear_width=0.01)
axs[2, 0].set_title('asinh')
axs[2, 0].grid(True)
# Function x**(1/2)
def forward(x):
return x**(1/2)
def inverse(x):
return x**2
axs[2, 1].plot(x, y)
axs[2, 1].set_yscale('function', functions=(forward, inverse))
axs[2, 1].set_title('function: $x^{1/2}$')
axs[2, 1].grid(True)
axs[2, 1].set_yticks(np.arange(0, 1.2, 0.2))
plt.show()
# %%
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.axes.Axes.set_xscale`
# - `matplotlib.axes.Axes.set_yscale`
# - `matplotlib.scale.LinearScale`
# - `matplotlib.scale.LogScale`
# - `matplotlib.scale.SymmetricalLogScale`
# - `matplotlib.scale.LogitScale`
# - `matplotlib.scale.FuncScale`
|
