`scipy.stats._multivariate:multivariate_t_gen.pdf`

Signature

   def     pdf (    self    ,    x    ,    loc    =  None   ,    shape    =  1   ,    df    =  1   ,    allow_singular    =  False     )

Multivariate t-distribution probability density function.

x : array_like: Points at which to evaluate the probability density function.
loc : array_like, optional: Location of the distribution. (default 0)
shape : array_like, optional: Positive semidefinite matrix of the distribution. (default 1)
df : float, optional: Degrees of freedom of the distribution; must be greater than zero. If np.inf then results are multivariate normal. The default is 1.
allow_singular : bool, optional: Whether to allow a singular matrix. (default False)

from scipy.stats import multivariate_t
x = [0.4, 5]
loc = [0, 1]
shape = [[1, 0.1], [0.1, 1]]
df = 7

✓

multivariate_t.pdf(x, loc, shape, df)

✗