scipy.stats.mstats.idealfourths¶

scipy.stats.mstats.idealfourths(data, axis=None)[source]¶

Returns an estimate of the lower and upper quartiles.

Uses the ideal fourths algorithm.

Parameters:

Parameters:	data : array_like Input array. axis : int, 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.

data : array_like

Input array.

axis : int, 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.