issue_comments: 792294554
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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/2414#issuecomment-792294554 | https://api.github.com/repos/pydata/xarray/issues/2414 | 792294554 | MDEyOklzc3VlQ29tbWVudDc5MjI5NDU1NA== | 13301940 | 2021-03-07T15:13:34Z | 2021-03-07T15:13:34Z | MEMBER | Unless I am missing something, this appears to have been addressed: ```python In [1]: import xarray as xr import numpy as np In [2]: import numpy as np In [3]: er = xr.DataArray(np.array((np.arange(3), np.arange(6)))) <ipython-input-3-64075f0108e0>:3: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray. er = xr.DataArray(np.array((np.arange(3), np.arange(6)))) In [4]: er Out[4]: <xarray.DataArray (dim_0: 2)> array([array([0, 1, 2]), array([0, 1, 2, 3, 4, 5])], dtype=object) Dimensions without coordinates: dim_0 ``` ```python In [6]: er.data[0] Out[6]: array([0, 1, 2]) In [7]: er[0] Out[7]: <xarray.DataArray ()> array(array([0, 1, 2]), dtype=object) In [8]: er[1] Out[8]: <xarray.DataArray ()> array(array([0, 1, 2, 3, 4, 5]), dtype=object) In [9]: xr.version Out[9]: '0.17.0' In [10]: np.version Out[10]: '1.20.1' ``` |
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