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)#

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

Parameters:

  • sdata (spatialdata.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) – The layer in sdata.points to extract data from (default is “transcripts”).

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

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

  • kind (str) – Plot type: ‘barh’, ‘bar’, ‘heatmap’, ‘clustermap’.

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

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

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

  • figsize (tuple) – Automatically computed based on the number of categories unless manually specified.

  • cmap (str) – Custom color palette.

  • saving_format (str) – File format to save the plot (e.g., ‘png’, ‘pdf’).

  • sortby (str) – Column/row to sort before plotting.

Returns:

None

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