scipy.stats.sem(a, axis=0, ddof=1)

Calculates the standard error of the mean (or standard error of measurement) of the values in the passed array.

Parameters :

a: array like :

An array containing the values for which

axis: int or None, optional. :

if equal None, ravel array first. If equal to an integer, this will be the axis over which to operate. Defaults to 0.

ddof: int :

Delta degrees-of-freedom. How many degrees of freedom to adjust for bias in limited samples relative to the population estimate of variance

Returns :

The standard error of the mean in the sample(s), along the input axis :

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