What happened?
When I try to create a DataTree with a dict as the first argument, I get a TypeError:
>>> xr.DataTree(dict())
...
TypeError: data object is not an xarray.Dataset, dict, or None: {}
What did you expect to happen?
A dictionary should be accepted, or the error message should not say that the argument could be a dict.
I suppose this is a leftover from some earlier iteration of the API?
Minimal Complete Verifiable Example
# /// script
# requires-python = ">=3.11"
# dependencies = [
# "xarray[complete]@git+https://github.com/pydata/xarray.git@main",
# ]
# ///
#
# This script automatically imports the development branch of xarray to check for issues.
# Please delete this header if you have _not_ tested this script with `uv run`!
import xarray as xr
xr.show_versions()
# your reproducer code ...
xr.DataTree(dict())
Steps to reproduce
No response
MVCE confirmation
Relevant log output
File .../xarray/xarray/core/datatree.py:547, in DataTree.__init__(self, dataset, children, name)
517 def __init__(
518 self,
519 dataset: Dataset | Coordinates | None = None,
520 children: Mapping[str, DataTree] | None = None,
521 name: str | None = None,
522 ):
523 """
524 Create a single node of a DataTree.
525
(...) 545 DataTree.from_dict
546 """
--> 547 self._set_node_data(_to_new_dataset(dataset))
549 # comes after setting node data as this will check for clashes between child names and existing variable names
550 super().__init__(name=name, children=children)
File .../xarray/xarray/core/datatree.py:143, in _to_new_dataset(data)
141 ds = Dataset()
142 else:
--> 143 raise TypeError(f"data object is not an xarray.Dataset, dict, or None: {data}")
144 return ds
Anything else we need to know?
No response
Environment
Details
INSTALLED VERSIONS
commit: 80b6a92
python: 3.13.5 (main, Jun 12 2025, 12:40:22) [Clang 20.1.4 ]
python-bits: 64
OS: Linux
OS-release: 7.1.4-204.fc44.x86_64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.6
libnetcdf: 4.9.3
xarray: 2026.7.1.dev24+g80b6a9260.d20260806
pandas: 3.0.5
numpy: 2.4.6
scipy: 1.18.0
netCDF4: 1.7.4
pydap: 3.5.10
h5netcdf: 1.8.1
h5py: 3.16.0
zarr: 3.3.0
cftime: 1.6.5
nc_time_axis: 1.4.1
iris: None
bottleneck: 1.6.0
dask: 2026.7.1
distributed: 2026.7.1
matplotlib: 3.11.1
cartopy: 0.25.0
seaborn: 0.13.2
numbagg: 0.9.4
fsspec: 2026.7.0
cupy: None
pint: None
sparse: 0.19.1
flox: 0.11.2
numpy_groupies: 0.11.3
setuptools: None
pip: None
conda: None
pytest: 9.1.1
mypy: 1.19.1
IPython: 9.16.1
sphinx: 8.2.3
What happened?
When I try to create a
DataTreewith adictas the first argument, I get a TypeError:What did you expect to happen?
A dictionary should be accepted, or the error message should not say that the argument could be a dict.
I suppose this is a leftover from some earlier iteration of the API?
Minimal Complete Verifiable Example
Steps to reproduce
No response
MVCE confirmation
Relevant log output
Anything else we need to know?
No response
Environment
Details
INSTALLED VERSIONS
commit: 80b6a92
python: 3.13.5 (main, Jun 12 2025, 12:40:22) [Clang 20.1.4 ]
python-bits: 64
OS: Linux
OS-release: 7.1.4-204.fc44.x86_64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.6
libnetcdf: 4.9.3
xarray: 2026.7.1.dev24+g80b6a9260.d20260806
pandas: 3.0.5
numpy: 2.4.6
scipy: 1.18.0
netCDF4: 1.7.4
pydap: 3.5.10
h5netcdf: 1.8.1
h5py: 3.16.0
zarr: 3.3.0
cftime: 1.6.5
nc_time_axis: 1.4.1
iris: None
bottleneck: 1.6.0
dask: 2026.7.1
distributed: 2026.7.1
matplotlib: 3.11.1
cartopy: 0.25.0
seaborn: 0.13.2
numbagg: 0.9.4
fsspec: 2026.7.0
cupy: None
pint: None
sparse: 0.19.1
flox: 0.11.2
numpy_groupies: 0.11.3
setuptools: None
pip: None
conda: None
pytest: 9.1.1
mypy: 1.19.1
IPython: 9.16.1
sphinx: 8.2.3