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.