issues: 113407784
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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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| 113407784 | MDU6SXNzdWUxMTM0MDc3ODQ= | 639 | Incorrect dimension names when using sel_points | 15328599 | closed | 0 | 3 | 2015-10-26T17:28:56Z | 2019-01-30T13:04:42Z | 2019-01-30T13:04:42Z | NONE | When calling an xray.DataArray with sel_points, if a named pandas series or index object is passed into the dim argument the resulting DataArray does not make use of the name metadata. ``` arr = xray.DataArray(np.random.rand(4, 3), [('time', pd.date_range('2000-01-01', periods=4)), ('space', ['IA', 'IL', 'IN'])]) times = pd.to_datetime(['2000-01-03', '2000-01-02', '2000-01-01']) test_df = pd.DataFrame.from_dict({'Test_Series': np.random.rand(3)}) test_series = test_df['Test_Series'] test_series 0 0.573754 1 0.958703 2 0.734037 Name: Test_Series, dtype: float64 test_index = pd.Index(test_series, name='foo') test_index Float64Index([0.573754086648, 0.958702839214, 0.734036515556], dtype='float64', name=u'foo') arr.sel_points(space=['IA', 'IL', 'IN'], time=times, dim=test_series) <xray.DataArray (points: 3)> array([ 0.33860832, 0.94424278, 0.05244533]) Coordinates: time (points) datetime64[ns] 2000-01-03 2000-01-02 2000-01-01 space (points) |S2 'IA' 'IL' 'IN' * points (points) float64 0.5738 0.9587 0.734 arr.sel_points(space=['IA', 'IL', 'IN'], time=times, dim=test_index) <xray.DataArray (points: 3)> array([ 0.33860832, 0.94424278, 0.05244533]) Coordinates: time (points) datetime64[ns] 2000-01-03 2000-01-02 2000-01-01 space (points) |S2 'IA' 'IL' 'IN' * points (points) float64 0.5738 0.9587 0.734 ``` In both the index and series cases the correct information from each Pandas object is used for the dimension values, however the name's of the fields remain defaulted to "points". |
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completed | 13221727 | issue |