xarray.DataArray.fillna (original) (raw)

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