xarray.IndexVariable.count#

IndexVariable.count(dim=None, **kwargs)[source]#

Reduce this NamedArray’s data by applying count along some dimension(s).

Parameters:

  • dim (str, Iterable of Hashable, "..." or None, default: None) – Name of dimension[s] along which to apply count. For e.g. dim="x" or dim=["x", "y"]. If “…” or None, will reduce over all dimensions.

  • **kwargs (Any) – Additional keyword arguments passed on to the appropriate array function for calculating count on this object’s data. These could include dask-specific kwargs like split_every.

Returns:

reduced (NamedArray) – New NamedArray with count applied to its data and the indicated dimension(s) removed

See also

pandas.DataFrame.count, dask.dataframe.DataFrame.count, Dataset.count, DataArray.count

Aggregation

User guide on reduction or aggregation operations.

Examples

>>> from xarray.namedarray.core import NamedArray
>>> na = NamedArray("x", np.array([1, 2, 3, 0, 2, np.nan]))
>>> na
<xarray.NamedArray (x: 6)> Size: 48B
array([ 1.,  2.,  3.,  0.,  2., nan])

>>> na.count()
<xarray.NamedArray ()> Size: 8B
array(5)
On this page