scipy.stats.mstats.

idealfourths

scipy.stats.mstats.idealfourths(data, axis=None)

Returns an estimate of the lower and upper quartiles.

Uses the ideal fourths algorithm.

Deprecated since version 2.0.0: scipy.stats.mstats.idealfourths is deprecated as of SciPy 2.0.0 and will be removed, along with the scipy.stats.mstats namespace, in SciPy 2.4.0. SciPy offers no replacement for this function.

Parameters:

dataarray_like

Input array.

axisint, optional

Axis along which the quartiles are estimated. If None, the arrays are flattened.

Returns:

idealfourths{list of floats, masked array}

Returns the two internal values that divide data into four parts using the ideal fourths algorithm either along the flattened array (if axis is None) or along axis of data.