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
- 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.