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- Fix CFTimeIndex-related errors stemming from updates in pandas · 10 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 598568339 | https://github.com/pydata/xarray/pull/3764#issuecomment-598568339 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5ODU2ODMzOQ== | shoyer 1217238 | 2020-03-13T06:14:37Z | 2020-03-13T06:14:37Z | MEMBER | I'm going to merge this to see if it fixes our doc build... |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 598567039 | https://github.com/pydata/xarray/pull/3764#issuecomment-598567039 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5ODU2NzAzOQ== | shoyer 1217238 | 2020-03-13T06:09:01Z | 2020-03-13T06:09:01Z | MEMBER | It's also worth noting that this note appears to be causing our doc builds to fail: https://readthedocs.org/projects/xray/builds/10604464/ |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 598566923 | https://github.com/pydata/xarray/pull/3764#issuecomment-598566923 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5ODU2NjkyMw== | shoyer 1217238 | 2020-03-13T06:08:34Z | 2020-03-13T06:08:34Z | MEMBER | These changes look good to me. It's definitely not ideal to be overriding all these details on CFTimeIndex -- this why xarray needs its own indexing API -- but for now it seems like about the best we can do. |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 596373136 | https://github.com/pydata/xarray/pull/3764#issuecomment-596373136 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5NjM3MzEzNg== | pep8speaks 24736507 | 2020-03-09T07:36:39Z | 2020-03-09T07:37:47Z | NONE | Hello @spencerkclark! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found: There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: Comment last updated at 2020-03-09 07:37:46 UTC |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 592327684 | https://github.com/pydata/xarray/pull/3764#issuecomment-592327684 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5MjMyNzY4NA== | shoyer 1217238 | 2020-02-28T05:57:21Z | 2020-02-28T05:57:21Z | MEMBER | +1 for marking as xfail. There’s no point in keeping the master branch failing if we know what the issue is. On Thu, Feb 27, 2020 at 7:22 PM Maximilian Roos notifications@github.com wrote:
|
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 592292603 | https://github.com/pydata/xarray/pull/3764#issuecomment-592292603 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5MjI5MjYwMw== | max-sixty 5635139 | 2020-02-28T03:22:01Z | 2020-02-28T03:22:01Z | MEMBER | Re the specific issue, that's a tough one. It could be worth floating on pandas and seeing if they have thoughts... |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 592292231 | https://github.com/pydata/xarray/pull/3764#issuecomment-592292231 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5MjI5MjIzMQ== | max-sixty 5635139 | 2020-02-28T03:20:35Z | 2020-02-28T03:20:35Z | MEMBER | Re master failing, what do we think about I'm cognizant that every PR now fails, which less friendly to contributors. The project home page also states |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 590476983 | https://github.com/pydata/xarray/pull/3764#issuecomment-590476983 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU5MDQ3Njk4Mw== | dcherian 2448579 | 2020-02-24T18:22:29Z | 2020-02-24T18:22:29Z | MEMBER | ping @shoyer for input. |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 589963580 | https://github.com/pydata/xarray/pull/3764#issuecomment-589963580 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU4OTk2MzU4MA== | spencerkclark 6628425 | 2020-02-22T14:55:00Z | 2020-02-22T14:55:00Z | MEMBER | I added some updates to this PR this morning that in principle would solve the indexing with In addition, for the time being I xfailed Finally in the process of doing this, I cleaned up the implementation of |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 | |
| 586597512 | https://github.com/pydata/xarray/pull/3764#issuecomment-586597512 | https://api.github.com/repos/pydata/xarray/issues/3764 | MDEyOklzc3VlQ29tbWVudDU4NjU5NzUxMg== | spencerkclark 6628425 | 2020-02-15T14:51:05Z | 2020-02-15T14:51:05Z | MEMBER | This is a little bit trickier than I originally anticipated. For indexing with dates very distant from the dates in the index, I'm still running into an issue at this step in In [2]: import cftime In [3]: times = xr.cftime_range('0001', periods=4) In [4]: da = xr.DataArray(range(4), coords=[('time', times)]) In [5]: da.sel(time=cftime.DatetimeGregorian(2000, 1, 1), method='nearest') ``` In this example One could argue that we could fall back on using a generic In [7]: target = pd.Index([cftime.DatetimeGregorian(2000, 1, 1)]) In [8]: difference = left_index - target In [9]: difference
Out[9]: Index([-730118 days, 0:00:00], dtype='object')
Result of np.abs(difference)``` In [10]: np.abs(difference) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) ~/Software/pandas/pandas/_libs/tslibs/timedeltas.pyx in pandas._libs.tslibs.timedeltas.array_to_timedelta64() TypeError: Expected unicode, got datetime.timedelta During handling of the above exception, another exception occurred: OverflowError Traceback (most recent call last) <ipython-input-17-95776624315c> in <module> ----> 1 np.abs(difference) ~/Software/pandas/pandas/core/indexes/base.py in __array_wrap__(self, result, context) 628 629 attrs = self._get_attributes_dict() --> 630 return Index(result, **attrs) 631 632 @cache_readonly ~/Software/pandas/pandas/core/indexes/base.py in __new__(cls, data, dtype, copy, name, tupleize_cols, **kwargs) 412 413 if dtype is None: --> 414 new_data, new_dtype = _maybe_cast_data_without_dtype(subarr) 415 if new_dtype is not None: 416 return cls( ~/Software/pandas/pandas/core/indexes/base.py in _maybe_cast_data_without_dtype(subarr) 5711 5712 elif inferred.startswith("timedelta"): -> 5713 data = TimedeltaArray._from_sequence(subarr, copy=False) 5714 return data, data.dtype 5715 elif inferred == "period": ~/Software/pandas/pandas/core/arrays/timedeltas.py in _from_sequence(cls, data, dtype, copy, freq, unit) 212 freq, freq_infer = dtl.maybe_infer_freq(freq) 213 --> 214 data, inferred_freq = sequence_to_td64ns(data, copy=copy, unit=unit) 215 freq, freq_infer = dtl.validate_inferred_freq(freq, inferred_freq, freq_infer) 216 ~/Software/pandas/pandas/core/arrays/timedeltas.py in sequence_to_td64ns(data, copy, unit, errors) 938 if is_object_dtype(data.dtype) or is_string_dtype(data.dtype): 939 # no need to make a copy, need to convert if string-dtyped --> 940 data = objects_to_td64ns(data, unit=unit, errors=errors) 941 copy = False 942 ~/Software/pandas/pandas/core/arrays/timedeltas.py in objects_to_td64ns(data, unit, errors) 1047 values = np.array(data, dtype=np.object_, copy=False) 1048 -> 1049 result = array_to_timedelta64(values, unit=unit, errors=errors) 1050 return result.view("timedelta64[ns]") 1051 ~/Software/pandas/pandas/_libs/tslibs/timedeltas.pyx in pandas._libs.tslibs.timedeltas.array_to_timedelta64() ~/Software/pandas/pandas/_libs/tslibs/timedeltas.pyx in pandas._libs.tslibs.timedeltas.convert_to_timedelta64() ~/Software/pandas/pandas/_libs/tslibs/timedeltas.pyx in pandas._libs.tslibs.timedeltas.delta_to_nanoseconds() OverflowError: Python int too large to convert to C long ``` So I'm a little bit back to the drawing board regarding a solution for this. Part of me is tempted to write an overriding version of |
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Fix CFTimeIndex-related errors stemming from updates in pandas 563202971 |
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