DistributionCollection.cdf (function)

def cdf(self, values=None, as_univariates=False)

Compute the cdf of drawing values from the stored distributions.

See also:

• DistributionCollection.pdf
• DistributionCollection.logpdf
• DistributionCollection.logcdf
• DistributionCollection.get_distributions_with_values

Arguments

• values (list, tuple, array or None, optional, default=None): list of values in same length and order as DistributionCollection.distributions or DistributionCollection.distributions_unpacked (see as_univariates). If not provided or None, the latest values from DistributionCollection.sample will be assumed (respecting the value of as_univariates). If no cached samples are available, a ValueError will be raised.
• as_univariates (bool, optional, default=False): whether values corresponds to the passed distributions (DistributionCollection.distributions) or the underlying unpacked distributions (DistributionCollection.distributions_unpacked). If the former (as_univariates=False), covariances will be respected from any underlying multivariate distributions. If the latter (as_univariates=True) covariances will be ignored.

Returns

• float or array of floats

Raises

• ValueError: if values is None, but no cached samples are available.