swyft.plot

swyft.plot.corner(logratios, parnames, bins=100, truth=None, figsize=(10, 10), color='k', labels=None, label_args={}, contours_1d=True, fig=None, labeler=None, smooth=0.0)

Make a beautiful corner plot.

Parameters:

• samples – Samples from swyft.Posteriors.sample

• pois – List of parameters of interest

• truth – Ground truth vector

• bins – Number of bins used for histograms.

• figsize – Size of figure

• color – Color

• labels – Custom labels (default is parameter names)

• label_args – Custom label arguments

• contours_1d (bool) – Plot 1-dim contours

• fig – Figure instance

Return type:

None

swyft.plot.plot_1d(logratios, parname, weights_key=None, ax=None, grid_interpolate=False, bins=100, color='k', contours=True, smooth=0.0)

Plot 1-dimensional posteriors.

swyft.plot.plot_2d(logratios, parname1, parname2, ax=None, bins=100, color='k', cmap='gray_r', smooth=0.0)

Plot 2-dimensional posteriors.

swyft.plot.plot_pp(coverage_samples, params, z_max=3.5, bins=50, ax=None)

Make a pp plot.

Parameters:

• params (str | Sequence[str]) –

• z_max (float) –

• bins (int) –

swyft.plot.plot_zz(coverage_samples, params, z_max=3.5, bins=50, ax=None)

Make a zz plot.

Parameters:

• coverage_samples – Collection of CoverageSamples object

• params (str | Sequence[str]) – Parameters of interest

• z_max (float) – Maximum value of z.

• bins (int) – Number of discretization bins.