bundles / numpy 2.4.3 / numpy / lib / _histograms_impl / _hist_bin_scott

function

`numpy.lib._histograms_impl:_hist_bin_scott`

source: /numpy/lib/_histograms_impl.py :100

Signature

def _hist_bin_scott ( x , range )

Summary

Scott histogram bin estimator.

Extended Summary

The binwidth is proportional to the standard deviation of the data and inversely proportional to the cube root of data size (asymptotically optimal).

Parameters

x : array_like: Input data that is to be histogrammed, trimmed to range. May not be empty.

Returns

h : An estimate of the optimal bin width for the given data.

Aliases

numpy.lib._histograms_impl._hist_bin_scott