statsmodels.distributions.copula.api.ExtremeValueCopula.plot_scatter#

ExtremeValueCopula.plot_scatter(sample=None, nobs=500, rng=None, ax=None)#

Sample the copula and plot.

Parameters:

samplearray_like, optional: The sample to plot. If not provided (the default), a sample is generated.
nobsint, optional: Number of samples to generate from the copula.
rng{None, int, array_like[int], numpy.random.Generator, numpy.random.RandomState}, optional: If rng is None, a new Generator is created using fresh entropy from the operating system. If rng is an int or array of ints, a new Generator is created, seeded with rng. If rng is already a Generator or RandomState instance, that instance is used.
axAxesSubplot, optional: If given, this subplot is used to plot in instead of a new figure being created.

Returns:

figFigure: If ax is None, the created figure. Otherwise the figure to which ax is connected.
samplearray_like (n, d): Sample from the copula.