def logpdf(self, x):

        x = np.asarray(x)

        df = self.df
        nvars = self.nvars

        x_whitened = self.whiten(x - self.mean) #should be float

        llf = - nvars * np_log(df * np_pi)
        llf -= self.logdetsigma
        llf -= (df + nvars) * np_log(1 + np.sum(x_whitened**2,-1) / df)
        llf *= 0.5
        llf += sps_gamln((df + nvars) / 2.) - sps_gamln(df / 2.)

        return llf
Use this if the value is supposed to be a list of ip addresses.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/distributions/mv_normal.py/MVT.logpdf--crossover with--dataset/ETHPy150Open rtucker-mozilla/mozilla_inventory/core/keyvalue/base_option.py/CommonOption._ip_list