mosaicmpi.plots.plot_pairwise_corr

mosaicmpi.plots.plot_pairwise_corr#

mosaicmpi.plots.plot_pairwise_corr(integration: Integration, subplot_size: Collection = [3, 3.5], overlaid=False, bins=50, inside_padding=0.02, selected_k_filter=True, max_k_filter=True, sharey: bool = False) → Figure#

Plot histograms of the pairwise correlation distribution for each dataset pair.

Parameters:

  • integration (Integration) – Integration object

  • subplot_size (Collection, optional) – width and height of each subplot, defaults to [3, 3.5]

  • overlaid (bool, optional) – Overlay negative and positive parts to compare the distribution, defaults to False

  • bins (int, optional) – Number of bins for histogram, defaults to 50

  • inside_padding (float, optional) – Amount to shrink data within the axes, defaults to 0.02

  • sharey (bool, optional) – set y-axis limits to a common range, defaults to False

Returns:

figure

Return type:

Figure