Explore Matplotlib's comprehensive guide on text, labels, and annotations for creating informative and visually appealing plots.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Create Labels for a Plot With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.

Technically there's a slight ambiguity in calls where the second label is a valid fmt. plot('n', 'o', data=obj) could be plt(x, y) or plt(y, fmt). In such cases, the former interpretation is chosen, but a warning is …

Dec 3, 2025 · Matplotlib.pyplot.legend () in Python Matplotlib.pyplot.legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in …

Mathtext # Use Matplotlib's internal LaTeX parser and layout engine. For true LaTeX rendering, see the text.usetex option.

Matplotlib 轴标签和标题 我们可以使用 xlabel () 和 ylabel () 方法来设置 x 轴和 y 轴的标签。

Customized Colorbars Tutorial # This tutorial shows how to build and customize standalone colorbars, i.e. without an attached plot. A colorbar needs a "mappable" (matplotlib.cm.ScalarMappable) object …

The label type. Possible values: 'edge': label placed at the end-point of the bar segment, and the value displayed will be the position of that end-point. 'center': label placed in the center of the bar segment, …

List of named colors # This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see the Specifying colors tutorial; the matplotlib.colors API; the Color Demo. …