We can use ax.loglog(x, y) and set_major_formatter() methods to replace tick labels with computed values.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a figure and a set of subplots.
Make a plot with log scaling on both the X and Y axis.
Set the formatter of the major ticker.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt, ticker plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() ax.loglog(np.logspace(0, 5), np.logspace(0, 5)**2) ax.xaxis.set_major_formatter(ticker.LogFormatterExponent()) plt.show()