By default, the log scale is to the base 10. One can change this via the base parameter. Non-positive values cannot be displayed on a log scale. The scale has two options to handle these. Either mask …

Jul 23, 2025 · In Matplotlib, you can easily set logarithmic scales for the x-axis, y-axis, or both using simple methods. Let’s explore straightforward ways to apply logarithmic scales in Matplotlib.

If you want log scales on both axes, try loglog() or on x-axis only try semilogx()

Oct 1, 2025 · Learn how to use log-log scale and adjust ticks in Matplotlib with Python. Step-by-step methods, code examples, and tips for better data visualization.

By default Matplotlib displays data on the axis using a linear scale. Matplotlib also supports logarithmic scales, and other less common scales as well. Usually this can be done directly by using the …

Sep 4, 2020 · Fortunately Matplotlib offers the following three functions for doing so: Matplotlib.pyplot.semilogx () – Make a plot with log scaling on the x-axis. Matplotlib.pyplot.semilogy () …

Feb 12, 2022 · Now let’s see in action how we can plot figures on logarithmic scale using the matplotlib package in Python.

Feb 2, 2024 · To draw semilog graphs in Matplotlib, we use set_xscale() or set_yscale() and semilogx() or semilogy() functions. If we have to set both axes in the logarithmic scale we use loglog() function.

Jan 14, 2026 · Learn how to set the Matplotlib y-axis to a log scale. I’ll show you various methods using real-world US data to handle large value ranges in your plots.