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- aaronspring · 58 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1346381256 | https://github.com/pydata/xarray/issues/7342#issuecomment-1346381256 | https://api.github.com/repos/pydata/xarray/issues/7342 | IC_kwDOAMm_X85QQCXI | aaronspring 12237157 | 2022-12-12T12:17:45Z | 2022-12-12T12:17:45Z | CONTRIBUTOR | Closing in favour of https://github.com/pydata/xarray/issues/7369 |
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`xr.DataArray.plot.pcolormesh(robust="col/row")` 1471561942 | |
1336391175 | https://github.com/pydata/xarray/issues/7342#issuecomment-1336391175 | https://api.github.com/repos/pydata/xarray/issues/7342 | IC_kwDOAMm_X85Pp7YH | aaronspring 12237157 | 2022-12-04T11:46:04Z | 2022-12-04T11:46:04Z | CONTRIBUTOR | True.
Exactly. |
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`xr.DataArray.plot.pcolormesh(robust="col/row")` 1471561942 | |
1249758907 | https://github.com/pydata/xarray/issues/7045#issuecomment-1249758907 | https://api.github.com/repos/pydata/xarray/issues/7045 | IC_kwDOAMm_X85Kfc67 | aaronspring 12237157 | 2022-09-16T20:06:21Z | 2022-09-16T20:06:21Z | CONTRIBUTOR | @shoyer could you maybe provide a code example of the current index aligned behaviour and a future not index aligned behaviour? I am a bit worried about transitioning previous code bases to such new xarray releases |
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Should Xarray stop doing automatic index-based alignment? 1376109308 | |
1110774460 | https://github.com/pydata/xarray/issues/3853#issuecomment-1110774460 | https://api.github.com/repos/pydata/xarray/issues/3853 | IC_kwDOAMm_X85CNRK8 | aaronspring 12237157 | 2022-04-27T09:24:36Z | 2022-04-27T09:24:36Z | CONTRIBUTOR | It is possible to set |
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Custom Table when opening GRIB Files 578427969 | |
1110248539 | https://github.com/pydata/xarray/issues/6510#issuecomment-1110248539 | https://api.github.com/repos/pydata/xarray/issues/6510 | IC_kwDOAMm_X85CLQxb | aaronspring 12237157 | 2022-04-26T21:06:04Z | 2022-04-26T21:06:04Z | CONTRIBUTOR | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Feature request: raise more informative error message for `xr.open_dataset(list_of_paths)` 1214290591 | ||
1037063748 | https://github.com/pydata/xarray/pull/6135#issuecomment-1037063748 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X8490FZE | aaronspring 12237157 | 2022-02-12T08:28:47Z | 2022-02-12T08:28:47Z | CONTRIBUTOR |
Thank you so much @spencerkclark for your guidance |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
1032848596 | https://github.com/pydata/xarray/pull/6135#issuecomment-1032848596 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X849kATU | aaronspring 12237157 | 2022-02-08T17:03:18Z | 2022-02-08T17:03:18Z | CONTRIBUTOR | thank you very much for the guidance here. I hope this is now close to how you envisioned this. I merely wanted to get a small improvement in functionality and didnt expect to learn so much. thank you so far @spencerkclark |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
1025184642 | https://github.com/pydata/xarray/pull/6135#issuecomment-1025184642 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X849GxOC | aaronspring 12237157 | 2022-01-30T16:58:23Z | 2022-02-01T15:54:29Z | CONTRIBUTOR | failing tests are unrelated to |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
1025546545 | https://github.com/pydata/xarray/pull/6210#issuecomment-1025546545 | https://api.github.com/repos/pydata/xarray/issues/6210 | IC_kwDOAMm_X849IJkx | aaronspring 12237157 | 2022-01-31T09:40:57Z | 2022-01-31T09:40:57Z | CONTRIBUTOR | In my understanding we can get rid of fkirc/skip-duplicate-actions and cancel-duplicate-runs.yaml |
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`GHA` `concurrency` 1118564242 | |
1025163440 | https://github.com/pydata/xarray/pull/6135#issuecomment-1025163440 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X849GsCw | aaronspring 12237157 | 2022-01-30T15:09:52Z | 2022-01-30T15:09:52Z | CONTRIBUTOR | pre-commit.ci autofix |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
1008437041 | https://github.com/pydata/xarray/pull/6135#issuecomment-1008437041 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X848G4cx | aaronspring 12237157 | 2022-01-09T22:33:03Z | 2022-01-09T22:33:03Z | CONTRIBUTOR | thanks for the reviews so far @spencerkclark @Illviljan @max-sixty - I think I implemented the suggestions and am looking forward to your next reviews |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
1008277351 | https://github.com/pydata/xarray/pull/6135#issuecomment-1008277351 | https://api.github.com/repos/pydata/xarray/issues/6135 | IC_kwDOAMm_X848GRdn | aaronspring 12237157 | 2022-01-09T11:13:01Z | 2022-01-09T11:13:01Z | CONTRIBUTOR | Would you remove the isinstance checks? I though that mypy does check at runtime, so it would detect a wrong input by the user. (I am still new to typing etc) |
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Implement multiplication of cftime Tick offsets by floats 1093466537 | |
985942042 | https://github.com/pydata/xarray/issues/6045#issuecomment-985942042 | https://api.github.com/repos/pydata/xarray/issues/6045 | IC_kwDOAMm_X846xEga | aaronspring 12237157 | 2021-12-04T01:37:16Z | 2021-12-04T03:02:12Z | CONTRIBUTOR | code in xarray is nearly identical to pandas. Maybe I misunderstood the documentation/explanation, i.e. meaning of |
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`xr.infer_freq` month bug for `freq='6MS'` starting Jan becomes `freq='2QS-OCT'` 1071049280 | |
985925827 | https://github.com/pydata/xarray/issues/6045#issuecomment-985925827 | https://api.github.com/repos/pydata/xarray/issues/6045 | IC_kwDOAMm_X846xAjD | aaronspring 12237157 | 2021-12-04T00:22:47Z | 2021-12-04T00:22:47Z | CONTRIBUTOR | the same happens also in pd.infer_freq(i_pd) '2QS-OCT' ``` |
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`xr.infer_freq` month bug for `freq='6MS'` starting Jan becomes `freq='2QS-OCT'` 1071049280 | |
977396964 | https://github.com/pydata/xarray/pull/6007#issuecomment-977396964 | https://api.github.com/repos/pydata/xarray/issues/6007 | IC_kwDOAMm_X846QeTk | aaronspring 12237157 | 2021-11-24T02:05:42Z | 2021-11-24T02:05:42Z | CONTRIBUTOR | bokeh etc not installed anymore when temporarily not installing iris from conda https://github.com/pydata/xarray/runs/4298565586?check_suite_focus=true |
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Use condas dask-core in ci instead of dask to speedup ci and reduce dependencies 1058047751 | |
853138609 | https://github.com/pydata/xarray/issues/4610#issuecomment-853138609 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1MzEzODYwOQ== | aaronspring 12237157 | 2021-06-02T15:45:45Z | 2021-06-02T15:45:45Z | CONTRIBUTOR |
agree.
looking forward to the PR |
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Add histogram method 750985364 | |
852944667 | https://github.com/pydata/xarray/issues/4610#issuecomment-852944667 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1Mjk0NDY2Nw== | aaronspring 12237157 | 2021-06-02T11:22:07Z | 2021-06-02T11:22:07Z | CONTRIBUTOR | I like your explanation of the two different inputs @dougiesquire and for multi-dim datasets these must be xr.datasets. my point about the |
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Add histogram method 750985364 | |
852428526 | https://github.com/pydata/xarray/issues/4610#issuecomment-852428526 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1MjQyODUyNg== | aaronspring 12237157 | 2021-06-01T20:36:25Z | 2021-06-01T20:36:25Z | CONTRIBUTOR | I am unsure about this and cannot manage to put my Südasien down precisely. Calculating a contingency table for instance between two multivar inputs: ˋˋˋ xhistogram(ds_observations_multivar, ds_forecast_multivar, bins=[ds_obs_multivar_edges, ds_forecast_multivar_edges ]) ˋˋˋ maybe @dougiesquire can phrase this more precisely |
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Add histogram method 750985364 | |
852364749 | https://github.com/pydata/xarray/issues/4610#issuecomment-852364749 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1MjM2NDc0OQ== | aaronspring 12237157 | 2021-06-01T18:51:47Z | 2021-06-01T18:51:47Z | CONTRIBUTOR |
with dataset bins I want to have different bin_edges for each dataset. If bins is only a dataArray, I cannot have this. Can I? |
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Add histogram method 750985364 | |
852231700 | https://github.com/pydata/xarray/issues/4610#issuecomment-852231700 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1MjIzMTcwMA== | aaronspring 12237157 | 2021-06-01T15:45:00Z | 2021-06-01T15:45:00Z | CONTRIBUTOR | I tried to show in https://gist.github.com/aaronspring/251553f132202cc91aadde03f2a452f9 how I would like to use xr.Datasets as I tried show in the gist that I could be also nice to allow xr.Datasets as bins if the inputs are xr.Datasets.
I cannot find this in #5400. I should checkout and run the code locally. Yep, the example xskillscore code posted doesnt allow nd bins. forgot that. correct. in my head thinking about the future it does. https://github.com/xarray-contrib/xskillscore/blob/6f7be06098eefa1cdb90f7319f577c274621301c/xskillscore/core/probabilistic.py#L498 takes xr.Datasets as bins and in a previous version we used |
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Add histogram method 750985364 | |
852120100 | https://github.com/pydata/xarray/issues/4610#issuecomment-852120100 | https://api.github.com/repos/pydata/xarray/issues/4610 | MDEyOklzc3VlQ29tbWVudDg1MjEyMDEwMA== | aaronspring 12237157 | 2021-06-01T13:22:25Z | 2021-06-01T13:24:19Z | CONTRIBUTOR | what about a list of @dougiesquire implemented this in https://github.com/xarray-contrib/xskillscore/blob/2217b58c536ec1b3d2c42265ed6689a740c2b3bf/xskillscore/core/utils.py#L133 EDIT: seeing now that this issue and #5400 aims to implement xr.DataArray.hist only. xr.Dataset would be also nice :) |
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Add histogram method 750985364 | |
819566971 | https://github.com/pydata/xarray/issues/5155#issuecomment-819566971 | https://api.github.com/repos/pydata/xarray/issues/5155 | MDEyOklzc3VlQ29tbWVudDgxOTU2Njk3MQ== | aaronspring 12237157 | 2021-04-14T14:34:55Z | 2021-04-14T14:34:55Z | CONTRIBUTOR |
|
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Calendar utilities 857947050 | |
760025539 | https://github.com/pydata/xarray/issues/4804#issuecomment-760025539 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc2MDAyNTUzOQ== | aaronspring 12237157 | 2021-01-14T08:44:22Z | 2021-01-14T08:44:22Z | CONTRIBUTOR | Thanks for the suggestion with xr.align. my speculation is that xs.pearson_r is a bit faster because we first write the whole function in numpy and then pass it through xr.apply_ufunc. I think therefore it only works for xr but not dask.da |
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Improve performance of xarray.corr() on big datasets 785329941 | |
759767957 | https://github.com/pydata/xarray/issues/4804#issuecomment-759767957 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc1OTc2Nzk1Nw== | aaronspring 12237157 | 2021-01-13T22:04:38Z | 2021-01-13T22:04:38Z | CONTRIBUTOR | Your function from the notebook could also easily implement the builtin weighted function |
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Improve performance of xarray.corr() on big datasets 785329941 | |
759766466 | https://github.com/pydata/xarray/issues/4804#issuecomment-759766466 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc1OTc2NjQ2Ng== | aaronspring 12237157 | 2021-01-13T22:01:49Z | 2021-01-13T22:01:49Z | CONTRIBUTOR | We implemented xr.corr as xr.pearson_r in https://xskillscore.readthedocs.io/en/stable/api/xskillscore.pearson_r.html#xskillscore.pearson_r and it’s ~30% faster than xr.corr see #4768 |
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Improve performance of xarray.corr() on big datasets 785329941 | |
733575449 | https://github.com/pydata/xarray/pull/4597#issuecomment-733575449 | https://api.github.com/repos/pydata/xarray/issues/4597 | MDEyOklzc3VlQ29tbWVudDczMzU3NTQ0OQ== | aaronspring 12237157 | 2020-11-25T09:16:49Z | 2020-11-25T09:16:49Z | CONTRIBUTOR | Thanks for the smooth review process @spencerkclark @keewis |
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add freq as CFTimeIndex property and to CFTimeIndex.__repr__ 748094631 | |
731725142 | https://github.com/pydata/xarray/pull/4597#issuecomment-731725142 | https://api.github.com/repos/pydata/xarray/issues/4597 | MDEyOklzc3VlQ29tbWVudDczMTcyNTE0Mg== | aaronspring 12237157 | 2020-11-22T10:11:53Z | 2020-11-22T10:11:53Z | CONTRIBUTOR | Ah I need to account for the docstring examples with only one or two items, maybe dropping freq then |
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add freq as CFTimeIndex property and to CFTimeIndex.__repr__ 748094631 | |
731643425 | https://github.com/pydata/xarray/pull/4597#issuecomment-731643425 | https://api.github.com/repos/pydata/xarray/issues/4597 | MDEyOklzc3VlQ29tbWVudDczMTY0MzQyNQ== | aaronspring 12237157 | 2020-11-21T22:04:11Z | 2020-11-21T22:04:11Z | CONTRIBUTOR | also should it be frequency or freq? |
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add freq as CFTimeIndex property and to CFTimeIndex.__repr__ 748094631 | |
731637045 | https://github.com/pydata/xarray/pull/4597#issuecomment-731637045 | https://api.github.com/repos/pydata/xarray/issues/4597 | MDEyOklzc3VlQ29tbWVudDczMTYzNzA0NQ== | aaronspring 12237157 | 2020-11-21T21:10:44Z | 2020-11-21T21:10:44Z | CONTRIBUTOR | I also get this error locally. somehow in some envs ``` ____________ test_cftimeindex_freq_in_repr[MS-noleap] _______________ freq = 'MS', calendar = 'noleap'
/Users/aaron.spring/Coding/xarray/xarray/tests/test_cftimeindex.py:952: /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:342: in repr attrs_str = format_attrs(self) /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:263: in format_attrs "freq": f"'{index.freq}'" /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:691: in freq return infer_freq(self) /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:97: in infer_freq return inferer.get_freq() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:132: in get_freq return self._infer_daily_rule() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:165: in _infer_daily_rule monthly_rule = self._get_monthly_rule() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:199: in _get_monthly_rule return {"cs": "MS", "ce": "M"}.get(month_anchor_check(self.index)) dates = <[AttributeError("'cftime._cftime.DatetimeNoLeap' object has no attribute 'daysinmonth'",) raised in repr()] CFTimeIndex object at 0x7fca9312b160>
/Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:261: AttributeError ____________ test_cftimeindex_freq_in_repr[MS-360_day] ______________ freq = 'MS', calendar = '360_day'
/Users/aaron.spring/Coding/xarray/xarray/tests/test_cftimeindex.py:952: /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:342: in repr attrs_str = format_attrs(self) /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:263: in format_attrs "freq": f"'{index.freq}'" /Users/aaron.spring/Coding/xarray/xarray/coding/cftimeindex.py:691: in freq return infer_freq(self) /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:97: in infer_freq return inferer.get_freq() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:132: in get_freq return self._infer_daily_rule() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:165: in _infer_daily_rule monthly_rule = self._get_monthly_rule() /Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:199: in _get_monthly_rule return {"cs": "MS", "ce": "M"}.get(month_anchor_check(self.index)) dates = <[AttributeError("'cftime._cftime.Datetime360Day' object has no attribute 'daysinmonth'",) raised in repr()] CFTimeIndex object at 0x7fca930cfe10>
/Users/aaron.spring/Coding/xarray/xarray/coding/frequencies.py:261: AttributeError ===================================================================================== short test summary info ===================================================================================== FAILED xarray/tests/test_cftimeindex.py::test_cftimeindex_freq_in_repr[1D-noleap] - AttributeError: 'cftime._cftime.DatetimeNoLeap' object has no attribute 'daysinmonth' FAILED xarray/tests/test_cftimeindex.py::test_cftimeindex_freq_in_repr[1D-360_day] - AttributeError: 'cftime._cftime.Datetime360Day' object has no attribute 'daysinmonth' FAILED xarray/tests/test_cftimeindex.py::test_cftimeindex_freq_in_repr[MS-noleap] - AttributeError: 'cftime._cftime.DatetimeNoLeap' object has no attribute 'daysinmonth' FAILED xarray/tests/test_cftimeindex.py::test_cftimeindex_freq_in_repr[MS-360_day] - AttributeError: 'cftime._cftime.Datetime360Day' object has no attribute 'daysinmonth' ======================================================================================== 4 failed in 2.58s =========================================================================== ``` |
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add freq as CFTimeIndex property and to CFTimeIndex.__repr__ 748094631 | |
730427143 | https://github.com/pydata/xarray/issues/2416#issuecomment-730427143 | https://api.github.com/repos/pydata/xarray/issues/2416 | MDEyOklzc3VlQ29tbWVudDczMDQyNzE0Mw== | aaronspring 12237157 | 2020-11-19T14:53:08Z | 2020-11-19T14:53:08Z | CONTRIBUTOR | using this feature now alot.
@spencerkclark what about implementing also Its hard to see the frequency by eye sometimes, I would just rely on |
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Indicate calendar type in CFTimeIndex repr 360420464 | |
697302214 | https://github.com/pydata/xarray/issues/4451#issuecomment-697302214 | https://api.github.com/repos/pydata/xarray/issues/4451 | MDEyOklzc3VlQ29tbWVudDY5NzMwMjIxNA== | aaronspring 12237157 | 2020-09-23T11:25:58Z | 2020-09-23T11:25:58Z | CONTRIBUTOR | cross posted: https://github.com/Unidata/netcdf4-python/issues/1043 |
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xr.open_dataset(remote_url) file not found 707223289 | |
669204458 | https://github.com/pydata/xarray/issues/4290#issuecomment-669204458 | https://api.github.com/repos/pydata/xarray/issues/4290 | MDEyOklzc3VlQ29tbWVudDY2OTIwNDQ1OA== | aaronspring 12237157 | 2020-08-05T13:48:55Z | 2020-08-05T13:48:55Z | CONTRIBUTOR |
good point
I now understand the underlying problem better with your comments. My expectations were too naive about it. I cannot evaluate the consequences of changing this. I close this issue and hopefully users having this problem in the future will find this issue. |
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bool(Dataset(False)) is True 668717850 | |
666380379 | https://github.com/pydata/xarray/issues/4290#issuecomment-666380379 | https://api.github.com/repos/pydata/xarray/issues/4290 | MDEyOklzc3VlQ29tbWVudDY2NjM4MDM3OQ== | aaronspring 12237157 | 2020-07-30T13:56:30Z | 2020-07-30T14:13:24Z | CONTRIBUTOR | currently
|
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bool(Dataset(False)) is True 668717850 | |
666370889 | https://github.com/pydata/xarray/issues/4290#issuecomment-666370889 | https://api.github.com/repos/pydata/xarray/issues/4290 | MDEyOklzc3VlQ29tbWVudDY2NjM3MDg4OQ== | aaronspring 12237157 | 2020-07-30T13:39:55Z | 2020-07-30T13:39:55Z | CONTRIBUTOR | thanks for the explanation. but from a naive user perspective,
|
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bool(Dataset(False)) is True 668717850 | |
663138597 | https://github.com/pydata/xarray/pull/4092#issuecomment-663138597 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY2MzEzODU5Nw== | aaronspring 12237157 | 2020-07-23T17:36:56Z | 2020-07-23T17:38:38Z | CONTRIBUTOR | My pleasure. Learnt a lot. And it was a long-standing issue that was mentioned in a medium article about xarray looking for more contributors. |
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CFTimeIndex calendar in repr 624378150 | |
660531286 | https://github.com/pydata/xarray/pull/4092#issuecomment-660531286 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY2MDUzMTI4Ng== | aaronspring 12237157 | 2020-07-18T19:34:29Z | 2020-07-18T19:34:29Z | CONTRIBUTOR |
I hope this is the final one. all tests pass. implemented your suggestions. took me a few commits, but I learned a lot. thanks for the guidance @spencerkclark |
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CFTimeIndex calendar in repr 624378150 | |
656101309 | https://github.com/pydata/xarray/pull/4092#issuecomment-656101309 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY1NjEwMTMwOQ== | aaronspring 12237157 | 2020-07-09T12:35:49Z | 2020-07-09T12:35:49Z | CONTRIBUTOR | dont understand why |
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CFTimeIndex calendar in repr 624378150 | |
654743050 | https://github.com/pydata/xarray/pull/4092#issuecomment-654743050 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY1NDc0MzA1MA== | aaronspring 12237157 | 2020-07-07T10:00:18Z | 2020-07-07T10:00:18Z | CONTRIBUTOR | now aligns to
``` CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00], dtype='object', length=2, calendar='gregorian') 40 CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00], dtype='object', length=2, calendar='gregorian') 60 CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00], dtype='object', length=2, calendar='gregorian') 80 CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00], dtype='object', length=2, calendar='gregorian') 120 ``` |
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CFTimeIndex calendar in repr 624378150 | |
653742478 | https://github.com/pydata/xarray/pull/4092#issuecomment-653742478 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY1Mzc0MjQ3OA== | aaronspring 12237157 | 2020-07-04T09:10:57Z | 2020-07-04T09:10:57Z | CONTRIBUTOR | @spencerkclark I reimplemented the repr. Mostly went after the visuals. So now this looks like before but including calendar in the repr. Any more tests needed? Would you please give this a look? |
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CFTimeIndex calendar in repr 624378150 | |
644035565 | https://github.com/pydata/xarray/pull/4092#issuecomment-644035565 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY0NDAzNTU2NQ== | aaronspring 12237157 | 2020-06-15T10:08:21Z | 2020-06-15T10:08:21Z | CONTRIBUTOR | I now reimplemented the visuals of pd.Index and also test against pd.Index.repr @spencerkclark |
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CFTimeIndex calendar in repr 624378150 | |
641182167 | https://github.com/pydata/xarray/pull/4092#issuecomment-641182167 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY0MTE4MjE2Nw== | aaronspring 12237157 | 2020-06-09T10:02:20Z | 2020-06-09T15:31:03Z | CONTRIBUTOR | now after clicking on the data item:
this PR is now ready for review. I don't understand why azure tests are failing. |
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CFTimeIndex calendar in repr 624378150 | |
640096726 | https://github.com/pydata/xarray/pull/4092#issuecomment-640096726 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY0MDA5NjcyNg== | aaronspring 12237157 | 2020-06-06T17:59:49Z | 2020-06-06T23:22:20Z | CONTRIBUTOR | I found a workaround with EDIT: I ensure now that Ready for review. |
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CFTimeIndex calendar in repr 624378150 | |
640073445 | https://github.com/pydata/xarray/pull/4092#issuecomment-640073445 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDY0MDA3MzQ0NQ== | aaronspring 12237157 | 2020-06-06T14:54:31Z | 2020-06-06T14:54:31Z | CONTRIBUTOR | Currently only the cftimeindex repr shows the calendar property. I aim to get it into the dataset/dataarray repr. would it be a good idea to modify |
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CFTimeIndex calendar in repr 624378150 | |
638913996 | https://github.com/pydata/xarray/pull/4092#issuecomment-638913996 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDYzODkxMzk5Ng== | aaronspring 12237157 | 2020-06-04T15:10:46Z | 2020-06-04T15:10:46Z | CONTRIBUTOR | I do understand the meaning of this last sentence @spencerkclark
Should I rather test on cftimeindex created in a different way? |
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CFTimeIndex calendar in repr 624378150 | |
638779099 | https://github.com/pydata/xarray/pull/4092#issuecomment-638779099 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDYzODc3OTA5OQ== | aaronspring 12237157 | 2020-06-04T11:02:00Z | 2020-06-04T11:02:00Z | CONTRIBUTOR | This doesnt change the html repr yet: when clicking on the data symbol, calendar is not shown in the printout. I will further try to fix this |
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CFTimeIndex calendar in repr 624378150 | |
638302372 | https://github.com/pydata/xarray/pull/4092#issuecomment-638302372 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDYzODMwMjM3Mg== | aaronspring 12237157 | 2020-06-03T16:17:01Z | 2020-06-03T16:17:01Z | CONTRIBUTOR | I was hoping to inherit from pandas like:
But I will now try to rebuild as in |
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CFTimeIndex calendar in repr 624378150 | |
637369697 | https://github.com/pydata/xarray/pull/4092#issuecomment-637369697 | https://api.github.com/repos/pydata/xarray/issues/4092 | MDEyOklzc3VlQ29tbWVudDYzNzM2OTY5Nw== | aaronspring 12237157 | 2020-06-02T08:10:24Z | 2020-06-02T08:10:24Z | CONTRIBUTOR |
Yes. I will do that. My question was whether should replicate the pd.Index.repr or try to import or inherit as much as I can from pandas? |
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CFTimeIndex calendar in repr 624378150 | |
625720635 | https://github.com/pydata/xarray/issues/4025#issuecomment-625720635 | https://api.github.com/repos/pydata/xarray/issues/4025 | MDEyOklzc3VlQ29tbWVudDYyNTcyMDYzNQ== | aaronspring 12237157 | 2020-05-08T09:10:08Z | 2020-05-08T09:10:08Z | CONTRIBUTOR | also works: |
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Visualize task tree 611839345 | |
624905520 | https://github.com/pydata/xarray/issues/4041#issuecomment-624905520 | https://api.github.com/repos/pydata/xarray/issues/4041 | MDEyOklzc3VlQ29tbWVudDYyNDkwNTUyMA== | aaronspring 12237157 | 2020-05-06T21:39:55Z | 2020-05-06T21:39:55Z | CONTRIBUTOR | me too on Firefox linux |
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expanded HTML repr when opening notebook 613579881 | |
623506526 | https://github.com/pydata/xarray/issues/4025#issuecomment-623506526 | https://api.github.com/repos/pydata/xarray/issues/4025 | MDEyOklzc3VlQ29tbWVudDYyMzUwNjUyNg== | aaronspring 12237157 | 2020-05-04T14:43:25Z | 2020-05-04T14:43:25Z | CONTRIBUTOR | this is great. thanks for the hint. |
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Visualize task tree 611839345 | |
598193427 | https://github.com/pydata/xarray/issues/2416#issuecomment-598193427 | https://api.github.com/repos/pydata/xarray/issues/2416 | MDEyOklzc3VlQ29tbWVudDU5ODE5MzQyNw== | aaronspring 12237157 | 2020-03-12T13:44:45Z | 2020-03-12T13:44:45Z | CONTRIBUTOR | would this be a starting point: https://github.com/pydata/xarray/blob/603b0ad3f8a02a9e1180eb8dfc72f7f885f0e19a/xarray/core/variable.py#L2222 ? but I dont see where |
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Indicate calendar type in CFTimeIndex repr 360420464 | |
598191749 | https://github.com/pydata/xarray/issues/2416#issuecomment-598191749 | https://api.github.com/repos/pydata/xarray/issues/2416 | MDEyOklzc3VlQ29tbWVudDU5ODE5MTc0OQ== | aaronspring 12237157 | 2020-03-12T13:41:13Z | 2020-03-12T13:41:13Z | CONTRIBUTOR | such a calendar attribute would be nice. Didnt find a workaround. My goal is to get a Once implemented, this could then be accessed via |
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Indicate calendar type in CFTimeIndex repr 360420464 | |
598035966 | https://github.com/pydata/xarray/issues/3853#issuecomment-598035966 | https://api.github.com/repos/pydata/xarray/issues/3853 | MDEyOklzc3VlQ29tbWVudDU5ODAzNTk2Ng== | aaronspring 12237157 | 2020-03-12T06:58:55Z | 2020-03-12T06:58:55Z | CONTRIBUTOR | This was my workaround. https://github.com/aaronspring/pymistral/issues/19 |
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Custom Table when opening GRIB Files 578427969 | |
598031406 | https://github.com/pydata/xarray/issues/3853#issuecomment-598031406 | https://api.github.com/repos/pydata/xarray/issues/3853 | MDEyOklzc3VlQ29tbWVudDU5ODAzMTQwNg== | aaronspring 12237157 | 2020-03-12T06:41:40Z | 2020-03-12T06:41:40Z | CONTRIBUTOR | I would use it with the echam6 and jsbach ‘.codes’ files in MPIESM. |
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Custom Table when opening GRIB Files 578427969 | |
597939300 | https://github.com/pydata/xarray/issues/3853#issuecomment-597939300 | https://api.github.com/repos/pydata/xarray/issues/3853 | MDEyOklzc3VlQ29tbWVudDU5NzkzOTMwMA== | aaronspring 12237157 | 2020-03-12T00:02:35Z | 2020-03-12T00:02:35Z | CONTRIBUTOR | I would love that feature. Also found that pyngl docu but didn’t get it working... |
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Custom Table when opening GRIB Files 578427969 | |
596072003 | https://github.com/pydata/xarray/pull/3844#issuecomment-596072003 | https://api.github.com/repos/pydata/xarray/issues/3844 | MDEyOklzc3VlQ29tbWVudDU5NjA3MjAwMw== | aaronspring 12237157 | 2020-03-07T10:25:18Z | 2020-03-07T10:25:18Z | CONTRIBUTOR | I am unsure whether I added enough tests. only one test that checks for different values with or without skipna. |
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Implement skipna kwarg in xr.quantile 577105538 | |
485444538 | https://github.com/pydata/xarray/issues/422#issuecomment-485444538 | https://api.github.com/repos/pydata/xarray/issues/422 | MDEyOklzc3VlQ29tbWVudDQ4NTQ0NDUzOA== | aaronspring 12237157 | 2019-04-22T15:09:16Z | 2019-04-22T15:09:16Z | CONTRIBUTOR | Can the stats functions from https://esmlab.readthedocs.io/en/latest/api.html#statistics-functions be used? |
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add average function 84127296 | |
483738391 | https://github.com/pydata/xarray/issues/2900#issuecomment-483738391 | https://api.github.com/repos/pydata/xarray/issues/2900 | MDEyOklzc3VlQ29tbWVudDQ4MzczODM5MQ== | aaronspring 12237157 | 2019-04-16T16:38:47Z | 2019-04-16T16:38:47Z | CONTRIBUTOR | thanks @dcherian that was easier than expected. it speeds up a bit but not much. thanks |
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open_mfdataset with proprocess ds[var] 433833707 |
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