Plot yscale class linear, log, logit and symlog by name in Matplotlib?

To plot yscale with class by name, we can take the following steps

• Set the figure size and adjust the padding between and around the subplots.
• Create y data points using numpy.
• Create x data points using numpy.
• Add a subplot to the current figure at index 1.
• Plot x and y data points using plot() method.
• For linear class by name, use yscale("linear") method.
• Set the title of the current subplot.Repeat the steps from 4 to 5 with different indices, yscale() class by name, and title of the plot.
• To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
y = np.random.normal(loc=0.5, scale=0.4, size=1000)
y = y[(y > 0) & (y < 1)]
y.sort()
x = np.arange(len(y))

# linear
plt.subplot(221)
plt.plot(x, y)
plt.yscale('linear')
plt.title('linear')

# log
plt.subplot(222)
plt.plot(x, y)
plt.yscale('log')
plt.title('log')

# symmetric log
plt.subplot(223)
plt.plot(x, y - y.mean())
plt.yscale('symlog', linthreshy=0.01)
plt.title('symlog')

# logit
plt.subplot(224)
plt.plot(x, y)
plt.yscale('logit')
plt.title('logit')
plt.show()

Output