Classe « gaussian_kde »

Méthode scipy.stats.gaussian_kde.resample

Signature de la méthode resample

def resample(self, size=None, seed=None) 

Description

resample.__doc__

Randomly sample a dataset from the estimated pdf.

        Parameters
        ----------
        size : int, optional
            The number of samples to draw.  If not provided, then the size is
            the same as the effective number of samples in the underlying
            dataset.
        seed : {None, int, `numpy.random.Generator`,
                `numpy.random.RandomState`}, optional

            If `seed` is None (or `np.random`), the `numpy.random.RandomState`
            singleton is used.
            If `seed` is an int, a new ``RandomState`` instance is used,
            seeded with `seed`.
            If `seed` is already a ``Generator`` or ``RandomState`` instance then
            that instance is used.

        Returns
        -------
        resample : (self.d, `size`) ndarray
            The sampled dataset.