Matplotlib has a number of built-in colormaps accessible via matplotlib.colormaps. There are also external libraries that have many extra colormaps, which can be viewed in the Third-party colormaps section of the Matplotlib documentation. Here we briefly discuss how to choose between the many ...

matplotlib.axes.Axes.set_axis_off · Tags: styling: colormap purpose: reference · Total running time of the script: (0 minutes 4.412 seconds) Download Jupyter notebook: colormap_reference.ipynb · Download Python source code: colormap_reference.py · Download zipped: colormap_reference.zip ·

July 29, 2026 - Matplotlib provides dozens of built-in colormaps: continuous or discrete color scales that you pass to the cmap argument whenever you map a numeric or categorical variable to color, for example in imshow, scatter, pcolormesh or a seaborn heatmap.

""" import numpy as np import matplotlib.pyplot as plt # Have colormaps separated into categories: # http://matplotlib.org/examples/color/colormaps_reference.html cmaps = [('Perceptually Uniform Sequential', [ 'viridis', 'plasma', 'inferno', 'magma']), ('Sequential', [ 'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds', 'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu', 'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']), ('Sequential (2)', [ 'binary', 'gist_yarg', 'gist_gray', 'gray', 'bone', 'pink', 'spring', 'summer', 'autumn', 'winter', 'cool', 'Wistia', 'hot', 'afmhot', 'gist_heat

May 18, 2019 - Matplotlib has a number of built-in colormaps accessible via matplotlib.cm.get_cmap.

December 23, 2024 - DSA Python · Data Science · NumPy · Pandas · Practice · Django · Flask · Last Updated : 23 Dec, 2024 · matplotlib.colors.Colormap class allows you to map scalar values to RGBA (Red, Green, Blue, Alpha) colors.

January 2, 2026 - The combination of data science ... their operations. Matplotlib is a popular library in the python colormaps ecosystem for visualizing the results of machine learning algorithms in a visually appealing way....

Colormaps are preset lists/sequences/maps of colors that Matplotlib already has packaged up for us, ready to use.

We can retrieve colors from any Colormap by calling it with a float or a list of floats in the range [0, 1]; e.g. cmap(0.5) will give the middle color. See also Colormap.__call__. import matplotlib.pyplot as plt import numpy as np import matplotlib as mpl n_lines = 21 cmap = mpl.colormaps['plasma'] # Take colors at regular intervals spanning the colormap.

Colormaps is a library of collection of colormaps or color palettes for Python. It’s written in Python with matplotlib and numpy as dependencies.

The following example demonstrates how to create custom colormaps using the ListedColormap class with specific color names. import matplotlib as mpl from matplotlib.colors import ListedColormap import matplotlib.pyplot as plt import numpy as np # Creating a ListedColormap from color names colormaps = [ListedColormap(['rosybrown', 'gold', "crimson", "linen"])] # Plotting examples np.random.seed(19680801) data = np.random.randn(30, 30) n = len(colormaps) fig, axs = plt.subplots(1, n, figsize=(7, 3), layout='constrained', squeeze=False) for [ax, cmap] in zip(axs.flat, colormaps): psm = ax.pcolormesh(data, cmap=cmap, rasterized=True, vmin=-4, vmax=4) fig.colorbar(psm, ax=ax) plt.show()

February 12, 2026 - Top 10 growing data visualization libraries in Python in 2025 · A colormap is a mapping function that translates scalar data values into colors. Given a number (typically normalized to the 0--1 range), the colormap returns an RGBA color tuple. Matplotlib represents colormaps as objects inheriting ...

May 1, 2020 - Matplotlib has a number of built-in colormaps accessible via matplotlib.colormaps.

November 9, 2022 - These names can be accessed using the get_cmap() function in the colormaps module in matplotlib. ... After importing the important libraries, we use the get_cmap() function to get the type of colormap we want (plasma in this example).

May 25, 2022 - Matplotlib has support for visualizing information with a wide array of colors and colormaps.

August 19, 2026 - Browse every built-in Matplotlib colormap in an interactive gallery, copy the cmap name in one click, and learn which family to pick for sequential, diverging, categorical, and cyclic data.

Deprecated since version 3.11: Use cmap.with_extremes(bad=...) or Colormap(bad=...) instead.

To visualize matplotlib built-in colormaps: python -m viscm view jet · To visualize one of our colormaps: python -m viscm view path/to/colormap_script.py · To make a nice screenshot like the ones above: python -m viscm view CMAP --save MYFILE.png --quit · If you want to access the editor ...

1. Getting started with Python for science » · 1.5. Matplotlib: plotting » · Collapse document to compact view · Edit Improve this page: Edit it on Github. Note · Click here to download the full example code · An example plotting the matplotlib colormaps.

Using colormaps is quite simple: add the cmap='CMAP_NAME' option to the plotting function you are using and MatPlotLib will handle the rest.