issues: 165160600
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| 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 |
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| 165160600 | MDU6SXNzdWUxNjUxNjA2MDA= | 898 | Indexing by multiple arrays inconsistent with numpy | 12307589 | closed | 0 | 1 | 2016-07-12T19:30:53Z | 2016-07-31T23:10:38Z | 2016-07-31T23:10:38Z | CONTRIBUTOR | When indexing an array with multiple 1d arrays of the same length, the behavior of DataArray is different from the behavior of numpy arrays. Particularly, a 2d array is returned instead of a 1d array. ``` In [1]: import xarray as xr In [2]: import numpy as np In [3]: a = np.random.randn(5, 5) In [4]: print(a[range(5), range(5)]) [ 0.92539795 0.06337135 -0.02374713 -0.6795863 -1.98749572] In [5]: a = xr.DataArray(a) In [6]: print(a[range(5), range(5)]) <xarray.DataArray (dim_0: 5, dim_1: 5)> array([[ 0.92539795, 0.34007445, 0.44199176, 1.29499782, -0.92076652], [ 0.23939236, 0.06337135, 0.83446803, 0.58847174, -1.08886251], [ 1.35784349, -0.51613834, -0.02374713, 1.6610402 , 0.80005739], [-0.75571607, -1.67907855, 1.29851435, -0.6795863 , -2.47751013], [-0.05817197, -1.195133 , 0.43844213, 0.29625676, -1.98749572]]) Coordinates: * dim_0 (dim_0) int64 0 1 2 3 4 * dim_1 (dim_1) int64 0 1 2 3 4 In [7]: xr.version Out[7]: '0.7.2-6-g859ddc2' ``` |
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completed | 13221727 | issue |