xarray.DataArray.fillna#

DataArray.fillna(value)[source] #

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 (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