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.

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.