dandelion.base.plotting.barplot

dandelion.base.plotting.barplot(data, color, palette='Set1', figsize=(8, 3), normalize=True, sort_descending=True, title=None, xtick_fontsize=None, xtick_rotation=None, min_clone_size=1, clone_key=None, **kwargs)[source]

A barplot function to plot usage of V/J genes in the data.

Parameters:

  • data (AnnData | Dandelion) – Dandelion or AnnData object.

  • color (str) – column name in metadata for plotting in bar plot.

  • palette (str, optional) – Colors to use for the different levels of the color variable. Should be something that can be interpreted by [color_palette](https://seaborn.pydata.org/generated/seaborn.color_palette.html#seaborn.color_palette), or a dictionary mapping hue levels to matplotlib colors. See [seaborn.barplot](https://seaborn.pydata.org/generated/seaborn.barplot.html).

  • figsize (tuple[float, float], optional) – figure size.

  • normalize (bool, optional) – if True, will return as proportion out of 1. Otherwise False will return counts.

  • sort_descending (bool, optional) – whether or not to sort the order of the plot.

  • title (str | None, optional) – title of plot.

  • xtick_fontsize (int | None, optional) – size of x tick labels

  • xtick_rotation (int | float | None, optional) – rotation of x tick labels.

  • min_clone_size (int, optional) – minimum clone size to keep.

  • clone_key (str | None, optional) – column name for clones. None defaults to ‘clone_id’.

  • **kwargs – passed to sns.barplot.

Returns:

bar plot.

Return type:

tuple[Figure, Axes]