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
orDataArray
) – 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