scipy.stats.mstats.tvar#
- scipy.stats.mstats.tvar(a, limits=None, inclusive=(True, True), axis=0, ddof=1)[source]#
Compute the trimmed variance
This function computes the sample variance of an array of values, while ignoring values which are outside of given limits.
- Parameters:
- aarray_like
Array of values.
- limitsNone or (lower limit, upper limit), optional
Values in the input array less than the lower limit or greater than the upper limit will be ignored. When limits is None, then all values are used. Either of the limit values in the tuple can also be None representing a half-open interval. The default value is None.
- inclusive(bool, bool), optional
A tuple consisting of the (lower flag, upper flag). These flags determine whether values exactly equal to the lower or upper limits are included. The default value is (True, True).
- axisint or None, optional
Axis along which to operate. If None, compute over the whole array. Default is zero.
- ddofint, optional
Delta degrees of freedom. Default is 1.
- Returns:
- tvarfloat
Trimmed variance.
Notes
For more details on
tvar, seescipy.stats.tvar.