# 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.

scipy.stats.gaussian_kde.logpdf scipy.stats.gaussian_kde.set_bandwidth