scipy.stats.gaussian_kde.
resample#
- gaussian_kde.resample(size=None, seed=None)[source]#
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 newRandomState
instance is used, seeded with seed. If seed is already aGenerator
orRandomState
instance then that instance is used.
- Returns:
- resample(self.d, size) ndarray
The sampled dataset.