Attention

This repository has been archived. Please use xarray.DataTree instead.

datatree.DataTree.isnull

DataTree.isnull(keep_attrs: bool | None = None) → Self

Test each value in the array for whether it is a missing value.

Parameters:

keep_attrs (bool or None, optional) – If True, the attributes (attrs) will be copied from the original object to the new one. If False, the new object will be returned without attributes.

Returns:

isnull (DataArray or Dataset) – Same type and shape as object, but the dtype of the data is bool.

See also

pandas.isnull

Examples

>>> array = xr.DataArray([1, np.nan, 3], dims="x")
>>> array
<xarray.DataArray (x: 3)> Size: 24B
array([ 1., nan,  3.])
Dimensions without coordinates: x
>>> array.isnull()
<xarray.DataArray (x: 3)> Size: 3B
array([False,  True, False])
Dimensions without coordinates: x