decoupler.bm.pl.qrank

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decoupler.bm.pl.qrank#

decoupler.bm.pl.qrank(df, hue=None, palette='tab20', thr_rank=0.5, thr_pval=0.05, **kwargs)#

Plot 1-qrank and p-value.

x-axis represent the one minus the quantile normalized ranks for the sources that belong to the ground truth. The closer to 1 the better performance is.

y-axis represents the p-value (-log10) obtained after performing a Ranksums test between the quantile normalized ranks of the sources that belong to the ground truth against the sources that do not. The higher value the better performance is.

Parameters:

  • df (DataFrame) – Result of decoupler.bm.benchmark.

  • hue (str | None (default: None)) – Grouping variable that will produce different colors.

  • palette (str (default: 'tab20')) – Method for choosing the colors to use

  • thr_rank (float (default: 0.5)) – Dashed line to indicate baseline of ranks.

  • thr_pval (float (default: 0.05)) – Dashed line to indicate baseline of p-values.

  • ax – An existing matplotlib.axes._axes.Axes instance to plot on. If None, a new figure and axes will be created.

  • figsize – Size of the figure in inches as (width, height).

  • dpi – Dots per inch for the figure resolution.

  • return_fig – If True, plotting methods should return the figure object instead of showing it.

  • save – If set, path to save the plot automatically to a file.

Return type:

None | Figure

Returns:

If return_fig=True, returns matplotlib.figure.Figure instance.

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