troutpy.pl.distributions_by_cluster

troutpy.pl.distributions_by_cluster#

troutpy.pl.distributions_by_cluster(sdata, gene_key='gene', cluster_key='kmeans_distribution', groups=None, distance_key='distance', n_bins=20)#

Plots the average normalized distance distribution for each cluster, overlaid with the expected (theoretical) diffusion pattern from a Rayleigh distribution computed from the global data (purely diffusion-based). Also displays statistics on how well the genes in the cluster match the expected diffusion pattern.

Parameters:

  • sdata (spatialdata.SpatialData) – Spatial data object containing a ‘source_score’ layer with an obs DataFrame.

  • gene_key (str) – Column name that contains the gene names.

  • distance_key (str) – Column name that contains the distance from the source cell.

  • n_bins (int) – Number of bins to use for the histograms.

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