11.2.1.5. astroML.density_estimation.freedman_bin_width¶

astroML.density_estimation.freedman_bin_width(data, return_bins=False)[source]¶

Deprecated since version 0.4: The freedman_bin_width function is deprecated and may be removed in a future version. Use astropy.stats.freedman_bin_width instead.

Return the optimal histogram bin width using the Freedman-Diaconis rule

Parameters

dataarray-like, ndim=1

observed (one-dimensional) data

return_binsbool (optional): if True, then return the bin edges

Returns

widthfloat

optimal bin width using Scott’s rule

binsndarray: bin edges: returned if return_bins is True

Notes

The optimal bin width is

$\Delta_b = \frac{2(q_{75} - q_{25})}{n^{1/3}}$

where $q_{N}$ is the $N$ percent quartile of the data, and $n$ is the number of data points.

11.2.1.4. astroML.density_estimation.scotts_bin_width 11.2.2.1. astroML.density_estimation.XDGMM