Is Matplotlib still worth learning in 2026?

Yes, and it is still the sensible first choice for static charts. Pandas, Seaborn and scikit-learn all draw with Matplotlib underneath, so understanding it means you can customise and fix their output instead of being stuck with the defaults. Plotly and Altair are better for interactive web charts, but they do not replace it.

Should I use plt.plot() or fig, ax = plt.subplots()?

Use plt.plot() for a quick look at some data in a notebook. Use fig, ax = plt.subplots() for anything you will reuse, save, or arrange as multiple panels, because you then have the figure and axes as objects and can set each one explicitly. Mixing the two in one script is what causes most confusing behaviour.

Why does my Matplotlib plot not show up?

In a plain Python script nothing is drawn until you call plt.show(). If you have called it and still see no window, you are probably on a server, container or WSL with no display, so Matplotlib falls back to the non-GUI Agg backend. Save the figure with plt.savefig("chart.png") instead.

How do I stop my x-axis labels overlapping?

Rotate them. plt.xticks(rotation=45, ha="right") fixes most cases, and adding plt.tight_layout() stops the rotated labels being cut off when you save. For dates, Matplotlib's date locators will also thin the ticks out for you.

What is the difference between Matplotlib and Seaborn?

Seaborn is built on top of Matplotlib. It gives you good-looking statistical charts in one line and understands DataFrames directly, but every Seaborn plot is a Matplotlib figure underneath. In practice people draw with Seaborn and then adjust it with Matplotlib calls.

How do I save a chart without the white border around it?

Pass bbox_inches="tight" and pad_inches=0 to savefig(). Add transparent=True if you want the background to disappear as well, which is useful when the image goes on a coloured page.

Matplotlib in Python [Beginners to Advanced Level]