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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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143107776 | MDU6SXNzdWUxNDMxMDc3NzY= | 801 | dictionaries in labeled indexing with letter values | nedlrichards 11950875 | closed | 0 | 2 | 2016-03-23T23:44:02Z | 2016-03-24T16:05:23Z | 2016-03-24T16:05:11Z | CONTRIBUTOR | An exception is raised when a letter is used in a dictionary as a labelled index. I believe this use of letter values is acceptable according to #291. The error is:
The work around is simple at least, the .loc keyword works as expected with dictionary labelled indexing. ``` test = np.random.randn(3, 3) test_xr = xr.DataArray(test, coords=[[1, 2, 3], ['a', 'b', 'c']], dims=['inter', 'alpha']) test_xr.loc[dict(inter=1)] test_xr[dict(inter=1)] test_xr.loc[dict(alpha='b')] Throws a ValueError exceptiontest_xr[dict(alpha='b')] ``` |
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132535802 | MDU6SXNzdWUxMzI1MzU4MDI= | 753 | creating DataArray from list of complex DataArray | nedlrichards 11950875 | closed | 0 | 3 | 2016-02-09T21:13:50Z | 2016-02-11T16:11:52Z | 2016-02-11T16:11:52Z | CONTRIBUTOR | The DataArray constructor fails with a TypeError in the following case:
The constructor works fine if c1 and c2 are np.arrays:
and constructing the array with concatenation also works:
Any thoughts on how to fix this? |
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130767608 | MDExOlB1bGxSZXF1ZXN0NTgwMjY4NjY= | 743 | BUG: reindexing an array with complex values should keep dtype=complex | nedlrichards 11950875 | closed | 0 | 6 | 2016-02-02T18:11:48Z | 2016-02-04T23:13:09Z | 2016-02-04T23:12:37Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/743 | Fixes #738 I have added a simple behaviour for complex numbers in _maybe_promote. This fix means that _maybe_promote does indeed return (dtype, np.nan + 0j) for complex dtypes, and the complex -> object conversion shown in #738 does not occur. |
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130504978 | MDU6SXNzdWUxMzA1MDQ5Nzg= | 738 | reindex_like with tolerance changes the type of returned DataArray | nedlrichards 11950875 | closed | 0 | 1 | 2016-02-01T22:30:36Z | 2016-02-04T23:12:37Z | 2016-02-04T23:12:37Z | CONTRIBUTOR | I am really excited about all of the new changes to xarray! reindexing with tolerance has great potential to clean up some sort of nasty stuff that I use a lot but have tucked away into a corner of my code. I am not sure I am 100% comfortable with it at the moment, however, because it seems to be changing the types of my data in unexpected ways. Bei: ``` test = xr.DataArray([1,2,3], coords=[[0.1, 0.2, 0.3]]) test_i = xr.DataArray([5,6,7,8], coords=[[0.21, 0.31, 0.41, 0.51]]) test.dtype test.reindex_like(test_i, method='pad', tolerance=0.2).dtype ``` the reindexed output has changed from int64 to float64! Even more concerning is the complex example: ``` test = xr.DataArray(np.array([1,2,3], dtype=np.complex), coords=[[0.1, 0.2, 0.3]]) test.dtype test.reindex_like(test_i, method='pad', tolerance=0.2).dtype ``` Conversion from complex to object? Oh no. Hope this isn't anything too big, let me know if I can help. Thank |
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completed | xarray 13221727 | issue |
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