fillna

UnitsAwareDataArray.fillna(value: Any) → Self

Fill missing values in this object.

This operation follows the normal broadcasting and alignment rules that xarray uses for binary arithmetic, except the result is aligned to this object (join='left') instead of aligned to the intersection of index coordinates (join='inner').

Parameters:

value (scalar, ndarray or DataArray) – Used to fill all matching missing values in this array. If the argument is a DataArray, it is first aligned with (reindexed to) this array.

Returns:

filled

Return type:

DataArray

Examples

>>> da = xr.DataArray(
...     np.array([1, 4, np.nan, 0, 3, np.nan]),
...     dims="Z",
...     coords=dict(
...         Z=("Z", np.arange(6)),
...         height=("Z", np.array([0, 10, 20, 30, 40, 50])),
...     ),
... )
>>> da
<xarray.DataArray (Z: 6)> Size: 48B
array([ 1.,  4., nan,  0.,  3., nan])
Coordinates:
  * Z        (Z) int64 48B 0 1 2 3 4 5
    height   (Z) int64 48B 0 10 20 30 40 50

Fill all NaN values with 0:

>>> da.fillna(0)
<xarray.DataArray (Z: 6)> Size: 48B
array([1., 4., 0., 0., 3., 0.])
Coordinates:
  * Z        (Z) int64 48B 0 1 2 3 4 5
    height   (Z) int64 48B 0 10 20 30 40 50

Fill NaN values with corresponding values in array:

>>> da.fillna(np.array([2, 9, 4, 2, 8, 9]))
<xarray.DataArray (Z: 6)> Size: 48B
array([1., 4., 4., 0., 3., 9.])
Coordinates:
  * Z        (Z) int64 48B 0 1 2 3 4 5
    height   (Z) int64 48B 0 10 20 30 40 50