`scipy.stats._multivariate:multivariate_normal_gen.logpdf`

source: /scipy/stats/_multivariate.py :594

Signature

   def     logpdf (    self    ,    x    ,    mean    =  None   ,    cov    =  1   ,    allow_singular    =  False     )

Summary

Log of the multivariate normal probability density function.

Parameters

x : array_like: Quantiles, with the last axis of x denoting the components.
mean : array_like, default: ``[0]``: Mean of the distribution.
cov : array_like or `Covariance`, default: ``[1]``: Symmetric positive (semi)definite covariance matrix of the distribution.
allow_singular : bool, default: ``False``: Whether to allow a singular covariance matrix. This is ignored if cov is a Covariance object.

Returns

pdf : ndarray or scalar: Log of the probability density function evaluated at x

Notes

Setting the parameter mean to None is equivalent to having mean be the zero-vector. The parameter cov can be a scalar, in which case the covariance matrix is the identity times that value, a vector of diagonal entries for the covariance matrix, a two-dimensional array_like, or a Covariance object.

Aliases

scipy.stats._multivariate.multivariate_normal_gen.logpdf