For more information on colors in matplotlib see. the Color Demo. First we define a helper function for making a table of colors, then we use it on some common color categories. Matplotlib supports colors from the xkcd color survey, e.g. "xkcd:sky blue".

If the color is the only part of the format string, you can additionally use any matplotlib.colors spec, e.g. full names ('green') or hex strings ('#008000'). Examples using matplotlib.pyplot.plot # Frame grabbing

Matplotlib converts "CN" colors to RGBA when drawing Artists. The Styling with cycler section contains additional information about controlling colors and style properties.

To begin with, matplotlib will automatically cycle through colors. By default, it cycles through blue, green, red, cyan, magenta, yellow, black: plt.plot(x, i * x + i, label='$y = {i}x + {i}$'.format(i=i)) If you want to control which colors matplotlib cycles through, use ax.set_color_cycle:

The default Tableau colors are available in matplotlib via the 'tab:' prefix: plt.plot([1,2], lw=4, c='tab:green') There are ten distinct colors: HTML. You can also plot colors by their HTML hex code: plt.plot([1,2], lw=4, c='#8f9805')

Dec 23, 2024 · Matplotlib.pyplot.colors() Below are some examples by which we can add color in Matplotlib. Plotting a Simple Line with Matplotlib Colors. In this example, a line plot is created using Matplotlib, with data points [1, 2, 3, 4]. The line color is specified as ‘green’. Python

Nov 16, 2017 · With Line2D instead of separate plot() calls, Matplotlib could indeed color the lines according to some specified cmap. If you think it would be useful, you can always issue a feature request here: github.com/matplotlib/matplotlib/issues.

Apr 9, 2025 · Matplotlib supports a comprehensive list of named colors, which can be extremely convenient for quickly setting colors in your plots. These named colors encompass a broad spectrum, from basic colors like "red", "blue", and "green" to more shades like "skyblue", "limegreen", and "tomato".

Apr 14, 2025 · Matplotlib is a widely used plotting library in Python. One of the most important aspects of creating visually appealing plots is the ability to control colors. Colors can be used to distinguish different data series, highlight specific regions, or add aesthetic value to the plot. Understanding how to work with colors in Matplotlib is essential for data visualization tasks.

Aug 4, 2024 · Matplotlib colors list is an essential aspect of data visualization in Python. This comprehensive guide will explore the various ways to use and customize colors in Matplotlib, providing you with the knowledge and tools to create visually appealing and informative plots.