atoti.agg.std module#

atoti.agg.std(operand, *, mode='sample', scope=None)#

Return a measure equal to the standard deviation of the passed operand across the specified scope.

Parameters

  • operand (Union[Column, Operation, MeasureDescription, MeasureConvertible]) – The operand to get the standard deviation of.

  • mode (Literal[‘sample’, ‘population’]) –

    One of the supported modes:

    • The sample standard deviation, similar to Excel’s STDEV.S, is \(\sqrt{\frac{\sum_{i=0}^{n} (X_i - m)^{2}}{n - 1}}\) where m is the sample mean and n the size of the sample. Use this mode if the data represents a sample of the population.

    • The population standard deviation, similar to Excel’s STDEV.P is \(\sqrt{\frac{\sum_{i=0}^{n}(X_i - m)^{2}}{n}}\) where m is the mean of the Xi elements and n the size of the population. Use this mode if the data represents the entire population.

  • scope (Optional[Scope]) – The scope of the aggregation. When None is specified, the natural aggregation scope is used: it contains all the data in the cube which coordinates match the ones of the currently evaluated member.

Return type

MeasureDescription