How to show minor tick labels on a log-scale with Matplotlib?

To show minor tick labels on a log-scale with Matplotlib, we can take the following steps −

Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Plot x and y data points using plot() method
Get the current axis using gca() method.
Set the yscale with log class by name.
Change the appearance of ticks and tick label using ick_params() method.
Set the minor axis formatter with format strings to format the tick.
To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.linspace(-2, 2, 10)
y = np.exp(x)

plt.plot(x, y)

ax = plt.gca()
ax.set_yscale('log')

plt.tick_params(axis='y', which='minor')
ax.yaxis.set_minor_formatter(FormatStrFormatter("%.1f"))

plt.show()