Skip to main content
`Ctrl`+`K`

# scipy.stats.gaussian_kde.resample

gaussian_kde.resample(size=None, seed=None)

  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.