Description
What happened?
File ".venv/lib/python3.12/site-packages/xarray/core/duck_array_ops.py", line 110, in fail_on_dask_array_input
raise NotImplementedError(msg % func_name)
NotImplementedError: 'conjugate' is not yet a valid method on dask arrays
What did you expect to happen?
.conjugate() should work on Dask arrays.
Minimal Complete Verifiable Example
import numpy as np
import dask.array as da
import xarray as xr
real = da.random.random((100, 100))
imag = da.random.random((100, 100))
z = real + 1j * imag
data = xr.DataArray(z, coords={'x': np.arange(100), 'y': np.arange(100)})
conj_data = data.conjugate()MVCE confirmation
- Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- Complete example — the example is self-contained, including all data and the text of any traceback.
- Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
- New issue — a search of GitHub Issues suggests this is not a duplicate.
- Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output
Anything else we need to know?
No response
Environment
INSTALLED VERSIONS
commit: None
python: 3.12.3 (main, Feb 4 2025, 14:48:35) [GCC 13.3.0]
python-bits: 64
OS: Linux
OS-release: 6.11.0-24-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: de_DE.UTF-8
LOCALE: ('de_DE', 'UTF-8')
libhdf5: 1.14.6
libnetcdf: None
xarray: 2025.3.1
pandas: 2.2.3
numpy: 2.2.5
scipy: 1.15.2
netCDF4: None
pydap: None
h5netcdf: None
h5py: 3.13.0
zarr: 3.0.7
cftime: None
nc_time_axis: None
iris: None
bottleneck: None
dask: 2025.4.0
distributed: 2025.4.0
matplotlib: 3.10.1
cartopy: None
seaborn: None
numbagg: None
fsspec: 2025.3.2
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: None
pip: 24.0
conda: None
pytest: None
mypy: None
IPython: 9.1.0
sphinx: None