https://github.com/santisoler/viridis_cmap

Simple PIP package to use viridis colormap in matplotlib 1.4
https://github.com/santisoler/viridis_cmap

Last synced: 5 months ago
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Simple PIP package to use viridis colormap in matplotlib 1.4

• Host: GitHub
• URL: https://github.com/santisoler/viridis_cmap
• Owner: santisoler
• License: gpl-3.0
• Created: 2016-11-07T14:52:00.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2016-11-07T15:00:35.000Z (about 9 years ago)
• Last Synced: 2025-06-25T19:42:13.192Z (7 months ago)
• Language: Python
• Size: 56.6 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# viridis_cmap

Simple PIP package to use viridis colormap in matplotlib 1.4

# How to install

Clone the repository:

    git clone https://www.github.com/santis19/viridis_cmap

then install the package with PIP:

    cd viridis_cmap

    sudo pip install .

Done! You are ready to use it.

# How to use viridis colormap

Just import the colormap in Python as follows:

    from viridis_cmap.cmaps import viridis

Example:

    import numpy as np

    import matplotlib.pyplot as plt

    from viridis_cmap.cmaps import viridis

    

    x = np.linspace(-1.0, 1.0, 101)

    x, y = np.meshgrid(x, x)

    z = x**2 + y**2

    

    

    plt.contourf(x, y, z, 15, cmap=viridis)

    plt.colorbar()

    plt.axes().set_aspect("equal")

    plt.show()