| /dports/math/py-arviz/arviz-0.11.4/arviz/tests/base_tests/ |
| H A D | test_data_zarr.py | 74 store = inference_data.to_zarr(store=None)
77 inference_data.to_zarr(store=filepath)
83 inference_data.to_zarr(store=store)
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/tests/ |
| H A D | test_backends.py | 2044 original.to_zarr(store)
2053 original.to_zarr(store)
2093 ds_to_append.to_zarr(
2213 zeros.to_zarr(
2235 zeros.to_zarr(store)
2290 data.to_zarr(store)
2379 ds.to_zarr(store_target)
5172 ds.to_zarr(mm) # old interface
5176 ds0.to_zarr(mm) # old interface
5240 ds.to_zarr(tmp_path / "test.zarr")
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| H A D | test_distributed.py | 149 maybe_futures = original.to_zarr(
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| /dports/devel/py-dask/dask-2021.11.2/docs/source/ |
| H A D | order.rst | 59 >>> da.to_zarr(x, 'saved_x1.zarr', overwrite=True)
60 >>> da.to_zarr(x, 'saved_y1.zarr', overwrite=True)
61 >>> da.to_zarr(x, 'saved_x2.zarr', overwrite=True)
62 >>> da.to_zarr(x, 'saved_y2.zarr', overwrite=True)
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| H A D | array-api.rst | 292 Array.to_zarr
469 to_zarr
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| H A D | array-creation.rst | 362 to_zarr
444 >>> arr.to_zarr('output.zarr')
450 >>> arr.to_zarr('s3://mybucket/output.zarr', storage_option={'key': 'mykey',
458 >>> arr.to_zarr(z)
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| H A D | changelog.rst | 394 - Do not return delayed object from ``to_zarr`` (:pr:`7738`) `Chris Roat`
435 - Cleanup ``to_zarr`` docstring (:pr:`7683`) `David Hoese`_
2131 - Raise informative error in to_zarr if unknown chunks (:pr:`5148`) `James Bourbeau`_
3125 - Ensure ``to_zarr`` with ``return_stored`` ``True`` returns a Dask Array (:pr:`3786`) `John A Kirk…
3210 - Disable locking in to_zarr (needed for using to_zarr in a distributed context) (:pr:`3607`) `John…
3211 - Support Zarr Arrays in `to_zarr`/`from_zarr` (:pr:`3561`) `John A Kirkham`_
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| /dports/devel/py-xarray/xarray-0.20.1/doc/user-guide/ |
| H A D | io.rst | 864 ds.to_zarr("path/to/directory.zarr")
870 store, add ``mode='w'`` when invoking :py:meth:`~Dataset.to_zarr`.
919 ds.to_zarr(store=gcsmap)
950 ds.to_zarr("foo.zarr", encoding={"foo": {"compressor": compressor}})
1000 single call to ``to_zarr()`` will write all of your data in parallel.
1031 ds1.to_zarr("path/to/directory.zarr")
1040 ds2.to_zarr("path/to/directory.zarr", append_dim="t")
1067 ds.to_zarr(path, compute=False)
1079 ds.isel(x=slice(0, 10)).to_zarr(path, region={"x": slice(0, 10)})
1080 ds.isel(x=slice(10, 20)).to_zarr(path, region={"x": slice(10, 20)})
[all …]
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| /dports/devel/py-dask/dask-2021.11.2/dask/array/ |
| H A D | __init__.py | 24 to_zarr,
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| H A D | core.py | 2660 def to_zarr(self, *args, **kwargs): member in Array
2667 return to_zarr(self, *args, **kwargs)
3316 def to_zarr( function
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| /dports/devel/py-xarray/xarray-0.20.1/doc/internals/ |
| H A D | zarr-encoding-spec.rst | 60 ds.to_zarr("rasm.zarr", mode="w")
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| /dports/devel/py-dask/dask-2021.11.2/dask/array/tests/ |
| H A D | test_array_core.py | 4291 a.to_zarr(d)
4302 a.to_zarr(path)
4332 a.to_zarr(z)
4343 a.to_zarr({})
4350 a.to_zarr(d)
4362 a.to_zarr(mapper)
4372 a.to_zarr(d, component="test")
4375 a.to_zarr(d, component="test", overwrite=True)
4411 out = a.to_zarr(d, compute=False)
4855 y.to_zarr(f)
[all …]
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| /dports/devel/py-dask/dask-2021.11.2/dask/tests/ |
| H A D | test_distributed.py | 208 a.to_zarr(d)
223 a.to_zarr(z)
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| /dports/graphics/py-pygeoapi/pygeoapi-0.11.0/pygeoapi/provider/ |
| H A D | xarray_.py | 597 data.to_zarr('{}zarr.zarr'.format(tmp_dir), mode='w')
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| /dports/math/py-arviz/arviz-0.11.4/arviz/data/ |
| H A D | inference_data.py | 609 def to_zarr(self, store=None): member in InferenceData
655 getattr(self, group).to_zarr(store=store, group=group, mode="w")
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/backends/ |
| H A D | api.py | 1304 def to_zarr( function
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| /dports/math/py-numpy/numpy-1.20.3/doc/neps/ |
| H A D | nep-0031-uarray.rst | 146 result.to_zarr('output.zarr')
159 result.to_zarr('output.zarr')
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| /dports/devel/py-xarray/xarray-0.20.1/doc/ |
| H A D | api.rst | 701 Dataset.to_zarr
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| H A D | whats-new.rst | 64 - Added ``storage_options`` argument to :py:meth:`to_zarr` (:issue:`5601`, :pull:`5615`).
244 - The default ``mode`` for :py:meth:`Dataset.to_zarr` when ``region`` is set
406 - Add ``safe_chunks`` option to :py:meth:`Dataset.to_zarr` which allows overriding
751 :py:meth:`Dataset.to_zarr` (:issue:`4783`, :pull:`4795`).
869 - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to
1195 - Support overriding existing variables in ``to_zarr()`` with ``mode='a'`` even
1439 - Fix :py:meth:`Dataset.to_zarr` when using ``append_dim`` and ``group``
2030 - In :py:meth:`~xarray.Dataset.to_zarr`, passing ``mode`` is not mandatory if
2243 :py:meth:`~xarray.Dataset.to_zarr`.
2718 with `to_zarr` and ``open_zarr`` (:issue:`2300`).
[all …]
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/core/ |
| H A D | dataset.py | 1915 def to_zarr( member in Dataset
2032 from ..backends.api import to_zarr
2037 return to_zarr(
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| /dports/math/py-arviz/arviz-0.11.4/ |
| H A D | CHANGELOG.md | 79 * Added `to_zarr` and `from_zarr` methods to InferenceData ([1518](https://github.com/arviz-devs/ar…
|