`scipy.stats._kde:gaussian_kde.resample`

Signature

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

Randomly sample a dataset from the estimated pdf.

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.