atoti.array.quantile_index()

atoti.array.quantile_index(measure, /, q, *, mode='inc', interpolation='lower')

Return a measure equal to the index of requested quantile of the elements of the passed array measure.

Parameters:

• measure (NonConstantMeasureConvertible) – The measure to get the quantile of.

• q (float | NonConstantMeasureConvertible) – The quantile to take. For instance, 0.95 is the 95th percentile and 0.5 is the median.

• mode (Literal['simple', 'centered', 'inc', 'exc']) –

  The method used to calculate the index of the quantile. Available options are, when searching for the q quantile of a vector X:

  • simple: len(X) * q

  • centered: len(X) * q + 0.5

  • exc: (len(X) + 1) * q

  • inc: (len(X) - 1) * q + 1

• interpolation (Literal['higher', 'lower', 'nearest']) –

  If the quantile index is not an integer, the interpolation decides what value is returned. The different options are, considering a quantile index k with i < k < j for the original vector X and the sorted vector Y:

  • lowest: the index in X of Y[i]

  • highest: the index in X of Y[j]

  • nearest: the index in X of Y[i] or Y[j] depending on which of i or j is closest to k

Return type:

MeasureDescription