autofit.plot.NestPlotter#

class autofit.plot.NestPlotter(samples, output: ~autofit.non_linear.plot.output.Output = <autofit.non_linear.plot.output.Output object>)[source]#

Bases: SamplesPlotter

Methods

`close`
`corner_anesthetic`	Plots a corner plot via the visualization library anesthetic.
`corner_cornerpy`	Plots a corner plot via the visualization library corner.py.
`log_plot_exception`	Plotting the results of a `dynesty` model-fit before they have converged on an accurate estimate of the posterior can lead the `dynesty` plotting routines to raise a `ValueError`.

Attributes

`log_posterior_list`
`model`

corner_anesthetic(**kwargs)[source]#

Plots a corner plot via the visualization library anesthetic.

This plots a corner plot including the 1-D and 2-D marginalized posteriors.