issue_comments: 590290745
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/3795#issuecomment-590290745 | https://api.github.com/repos/pydata/xarray/issues/3795 | 590290745 | MDEyOklzc3VlQ29tbWVudDU5MDI5MDc0NQ== | 14808389 | 2020-02-24T12:10:03Z | 2020-02-24T12:10:03Z | MEMBER | Could you show a code example demonstrating how you created your dataset / dataarrays and what you are trying to get? For example, something like this: ```python In [1]: import xarray as xr ...: import dask.array as da In [2]: a = da.zeros((14610, 47, 68, 81), chunks=(365, 47, 68, 81)) ...: b = da.zeros((10950, 47, 68, 81), chunks=(365, 47, 68, 81)) ...: ds = xr.Dataset({"a": (("u", "x", "y", "z"), a), "b": (("v", "x", "y", "z"), b)}) ...: ds Out[2]: <xarray.Dataset> Dimensions: (u: 14610, v: 10950, x: 47, y: 68, z: 81) Dimensions without coordinates: u, v, x, y, z Data variables: a (u, x, y, z) float64 dask.array<chunksize=(365, 47, 68, 81), meta=np.ndarray> b (v, x, y, z) float64 dask.array<chunksize=(365, 47, 68, 81), meta=np.ndarray> ``` |
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