iarray.nanvar(a: IArray, /, *, axis: Optional[Union[int, tuple]] = None, correction: Union[int, float] = 0.0, cfg: Optional[Config] = None, **kwargs)#

Compute the variance along the specified axis ignoring NaNs. The variance is computed for the flattened array by default, otherwise over the specified axis.

  • a (IArray container) – Input data. Should have a floating-point data type.

  • axis (None, int, tuple of ints, optional) – Axis or axes along which the reduction is performed. The default (axis = None) is perform the reduction over all dimensions of the input array. If this is a tuple of ints, a reduction is performed on multiple axes, instead of a single axis or all the axes as default.

  • correction (int or float) – Degrees of freedom adjustment. Default is 0.

  • cfg (Config or None) – The configuration for this operation. If None (default), the current configuration will be used.

  • kwargs (dict) – A dictionary for setting some or all of the fields in the Config dataclass that should override the current configuration.


var – Variance of a. The result is an array of dimension a.ndim - len(axis). The dtype is always the dtype of a.

Return type

IArray container

See also