scipy.stats.gaussian_kde.resample

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

Randomly sample a dataset from the estimated pdf.

Parameters:

sizeint, 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.