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  • observingClouds · 1 ✖

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  • ENH: resample methods with tolerance · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
457963623 https://github.com/pydata/xarray/pull/2716#issuecomment-457963623 https://api.github.com/repos/pydata/xarray/issues/2716 MDEyOklzc3VlQ29tbWVudDQ1Nzk2MzYyMw== observingClouds 43613877 2019-01-27T23:16:58Z 2019-01-27T23:24:46Z CONTRIBUTOR

Sure @jhamman, I'll add some tests. However, I thought the test should rather go into test_dataarray.py than test_missing.py, because this is an improvement to resample/_upsample?

Something like ```python def test_upsample_tolerance(self): # Test tolerance keyword for upsample methods bfill, pad, nearest times = pd.date_range('2000-01-01', freq='1D', periods=2) times_upsampled = pd.date_range('2000-01-01', freq='6H', periods=5) array = DataArray(np.arange(2), [('time', times)])

    # Forward fill
    actual = array.resample(time='6H').ffill(tolerance='12H')
    expected = DataArray([0., 0., 0., np.nan, 1.],
                         [('time', times_upsampled)])
    assert_identical(expected, actual)

```

 
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   ENH: resample methods with tolerance 403462155

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