troutpy.pl.crosstab

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troutpy.pl.crosstab#

troutpy.pl.crosstab(sdata, xvar, yvar, layer='transcripts', normalize=True, axis=1, kind='barh', save=True, figures_path='', stacked=True, figsize=None, cmap='troutpy', saving_format='pdf', sortby=None)#

Generate a cross-tabulation plot between two categorical variables from sdata.points.

Parameters:

  • sdata (SpatialData) – The input spatial data object containing the categorical variables.

  • xvar (str) – The categorical variable for the x-axis.

  • yvar (str) – The categorical variable for the y-axis.

  • layer (str (default: 'transcripts')) – The layer in sdata.points to extract data from.

  • normalize (bool (default: True)) – Whether to normalize proportions.

  • axis (int (default: 1)) – Axis to normalize across (1 = row, 0 = column).

  • kind (str (default: 'barh')) – Plot type: "barh", "bar", "heatmap", or "clustermap".

  • save (bool (default: True)) – Whether to save the plot.

  • figures_path (str (default: '')) – Path to save the plot.

  • stacked (bool (default: True)) – Whether bar plots should be stacked.

  • figsize (Optional[tuple] (default: None)) – Automatically computed based on the number of categories unless manually specified.

  • cmap (str (default: 'troutpy')) – Custom color palette, resolved via troutpy.pl.get_colormap().

  • saving_format (str (default: 'pdf')) – File format to save the plot (e.g. "png", "pdf").

  • sortby (Optional[str] (default: None)) – Column/row to sort before plotting.

Return type:

None

Returns:

None

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