How do people package Altair themes?

• altair-latimes

  2 11 0.0 Jupyter Notebook

  A Los Angeles Times theme for Python's Altair statistical visualization library

  

As a first example, we have the altair-latimes package. Here we can find the Los Angeles Times theme for Altair. More specifically, in addition to the theme() function that contains some constants and returns a dictionary with the configuration for the theme, there is a color dictionary (palette). This color dictionary can also be imported and used directly.

• husky-altair-theme

  2 2 10.0 Jupyter Notebook

  husky_theme, a theme for Altair charts based on the University of Washington branding guidelines

For a theme based on the University of Washington brand, there is husky_theme. To leverage it, we need to run the respective file as a script or add it to a given project (and import the husky_theme() function), as opposed to installing and importing a Python package. Like the first example, the husky_theme() function contains some constants and returns a dictionary.

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• hueniversitypy

  1 1 10.0 Python
  

In the hueniversitypy (great name!) package, we can find different themes based on the visual identities of Canadian universities. Each theme is defined in its file, similar to the previous examples (a function with some constants and which returns a dictionary). The main difference between this package and the previous examples is that it brings together more than one theme that can be used separately (instead of being dedicated to a single theme).

• styles

  1 7 5.1 Python

  plotting styles for altair and matplotlib (by carbonplan)

  

To use any of the themes available in the three examples mentioned above globally, we need to alt.themes.register() and alt.themes.enable() them. In the case of the carbonplan-styles package, which provides a light theme and a dark theme for Altair and Matplotlib, we just need to enable the theme (and we don't need to import any extras). In other words, there is no need to register the theme, as it is added to the available themes "automatically" from the entry points defined in the setup.py file (or equivalent):

• cheatsheets

  126 7,245 7.0 Python

  Official Matplotlib cheat sheets (by matplotlib)

  

To use any of the themes available in the three examples mentioned above globally, we need to alt.themes.register() and alt.themes.enable() them. In the case of the carbonplan-styles package, which provides a light theme and a dark theme for Altair and Matplotlib, we just need to enable the theme (and we don't need to import any extras). In other words, there is no need to register the theme, as it is added to the available themes "automatically" from the entry points defined in the setup.py file (or equivalent):

• Altair

  43 8,946 9.0 Python

  Declarative statistical visualization library for Python

  

In Altair, we can create custom and shareable themes to apply to different charts. So, several Python packages are available with these themes ready to go. Considering four examples, let's see how other people package their Altair themes. For more information before we talk about them, check the Altair Themes section available in the documentation.

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