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phys_581.plotting
Tools for plotting.
Module Contents
sp
corner_plot ( a C = None labels = None levels = None sigmas = (1, 2, 3, 4) axes = None fig = None Nxy = (100, 101) contour_kw = None )
Make a corner-plot of the variables a .
Parameters:
a ([ float ] or [ uncertainties.ufloat ] ) – Parameter values. These can be ufloat values from the uncertainties
C (array-like , optional ) – Covariance matrix. If a is a list of ufloat`s, then the correlation matrix
will be computed with `C = uncertainties.covariance_matrix(a) if not provided.
labels ([ str ] , optional ) – Labels for plot. If not provided, then if a._fields exists, these will be
used, otherwise, they will be labelled a_n .
levels (array-like , optional ) – Contours to draw. If not, then we will assume the variables are gaussian and
use the nu=2 sigmas .
sigmas (array-like , optional ) – If provided and levels is None , then use to generate levels.
axes (array of Axes , optional ) – If provided, then the we will draw in these.
Nxy (( int , int ) ) – Size of grid for contour plot.
contour_kw (dict , optional ) – Additional arguments for matplotlib.axes.Axes.contour() linestyles , and colors .
