issues: 132818023
This data as json
| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 132818023 | MDU6SXNzdWUxMzI4MTgwMjM= | 758 | No check for dimension compatibility on DataArray creation | 2783717 | closed | 0 | 1 | 2016-02-10T21:08:32Z | 2016-02-15T02:21:33Z | 2016-02-15T02:21:33Z | NONE | When creating a DataArray with an iterable of coordinates, no check is made that the dimensions of the coordinates match the shape of the data. Unsure if there's a reason why this isn't checked in xarray or not (I'd expect it to be). This may also just me using xarray wrong. I got bit by this earlier with a typo in my code: ``` python In [1]: import xarray as xr In [2]: import numpy as np In [3]: a = np.arange(6).reshape((2, 3)) In [4]: x = np.arange(3) In [5]: y = np.arange(2, 4) In [6]: xa = xr.DataArray(a, coords=[x, x], dims=['x', 'y']) # Oop, gave x twice, instead of [x, y] In [7]: xa.shape Out[7]: (2, 3) In [8]: xa.coords Out[8]: Coordinates: * x (x) int64 0 1 2 * y (y) int64 0 1 2 ``` |
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completed | 13221727 | issue |