mescla.plotting.diagrams.plot_ratios_with_uncertainty¶

mescla.plotting.diagrams.plot_ratios_with_uncertainty(result, uncertainty, axes=None, theme='light', order_by=None, max_samples=60)[source]¶

Mixing ratios with their intervals, one panel per end-member.

The figure that stops a reader over-reading a five-point difference between two samples. A stacked bar of point estimates cannot show that a fraction is +/- 0.12; this can, so prefer it whenever you have run monte_carlo_ratios() or a resampling.

Parameters:

result (MixingResult)
uncertainty (dict) – As returned by monte_carlo_ratios(), jackknife_endmembers() or bootstrap_endmembers() – anything with lower and upper arrays shaped like result.ratios.
axes (array of matplotlib Axes, optional)
theme ({"light", "dark"} or Theme)
order_by (int, optional) – Sort samples by this end-member’s contribution. Sorting makes the spread legible; sample order rarely does.
max_samples (int, default 60) – Above this many samples the dots collide; the panel switches to a shaded interval band with the estimate drawn over it.

Returns:

array of matplotlib Axes

Return type:

Any