Matplotlib and Ipywidgets dark theme/styling that fits well with VSCode
Project description
VSCDARK
This is a simple package to provide a matplotlib dark theme that fits well with the Visual Studio Code dark theme. Additionally the package provides features to properly style interactive plots in notebooks.
Usage
Two a matplotlib style and two functions are provided:
The style can be applied using matplotlib's plt.style.use function:
plt.style.use('vscdark.vscdark')
If styling for interactive plots is also desired, the provided set_style function should be used:
def set_style(new_theme: str | None = None, dark: bool | None = None, display_css: bool = True, verbose: bool | None = None) -> None:
This function applies the current theme configuration and potentially changes options.
Arguments:
new_theme: The name of the theme to apply. IfNone, the currently stored theme is reapplied.dark: Only relevant for the interactive CSS. IfNone, the setting remains unchanged.display_css: Whether toIPython.displaytheIPython.HTMLobject that contains the CSS for widgets. It must be displayed somewhere in the notebook to take effect.verbose: IfTrue, the css will contain "Widget CSS Active" to indicate that it is taken into account by the renderer. IfNone, the setting remains unchanged.
The IPython.HTML object containing the CSS can also directly be accessed using the css function:
def css() -> IPython.HTML:
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