MVGaussian.plot_sample (function)
def plot_sample(self, size=100000.0, **kwargs)
Arguments
dimension (string or int, optional, default=None): choose a single
dimension to plot.label (string, optional, default=None): override the label on the
x-axis. If not provided or None, will use MVGaussian.label. Will
only be used if show=True. Unit will automatically be appended.
Will be ignored if xlabel is provided.unit (astropy.unit, optional, default=None): units to use along
the x-axis. Astropy must be installed. If samples is provided,
the passed values will be assumed to be in the correct units.wrap_at (float, None, or False, optional, default=None): value to
use for wrapping. See MVGaussian.wrap. If not provided or None,
will use the value from MVGaussian.wrap_at. Note: wrapping is
computed before changing units, so wrap_at must be provided
according to MVGaussian.unit not unit. Will be ignored
if samples is provided.xlabel (string, optional, default=None): override the label on the
x-axis without appending the unit. Will override label.samples (array, optional, default=None): plot specific sampled
values instead of calling MVGaussian.sample internally. Will override
size.plot_uncertainties (tuple or bool, optional, default=True): if True,
will default to (1,2,3).
If provided as a list or tuple, then quantiles shown in the 1D
histograms will be set to the appropriate quantile for the first
sigma in the passed list/tuple and will be used for the uncertainties
in the axes titles. levels will be set to the appropriate 2-D volume levels for each
item in the list and used as contours. See MVGaussian.uncertainties.**kwargs: additional kwargs are passed to corner.corner
Returns