Kde1d.fit

Kde1d.fit(self, x: numpy.ndarray[dtype=float64, shape=(*), order='C'], weights: numpy.ndarray[dtype=float64, shape=(*), order='C'] = array([], dtype=float64)) → None

Fit the kernel density estimate to data.

Parameters:

• x (array_like) – Vector of observations to fit the density to.

• weights (array_like, optional) – Vector of weights for individual observations. If not provided, all observations are weighted equally.

Notes

After calling this method, the object will be fitted and can be used for density evaluation, sampling, etc.