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- Add drop=True option for where on Dataset and DataArray · 11 ✖
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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207890803 | https://github.com/pydata/xarray/pull/815#issuecomment-207890803 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNzg5MDgwMw== | shoyer 1217238 | 2016-04-10T00:33:25Z | 2016-04-10T00:33:25Z | MEMBER | Thanks @pwolfram ! |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
205406043 | https://github.com/pydata/xarray/pull/815#issuecomment-205406043 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNTQwNjA0Mw== | shoyer 1217238 | 2016-04-04T17:28:12Z | 2016-04-04T17:28:12Z | MEMBER | looks good to me other than a few nits Please also add a release note crediting yourself! |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204564456 | https://github.com/pydata/xarray/pull/815#issuecomment-204564456 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDU2NDQ1Ng== | shoyer 1217238 | 2016-04-01T21:00:31Z | 2016-04-01T21:00:31Z | MEMBER | +1 for drop=True On Fri, Apr 1, 2016 at 1:59 PM, Phillip Wolfram notifications@github.com wrote:
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204561434 | https://github.com/pydata/xarray/pull/815#issuecomment-204561434 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDU2MTQzNA== | max-sixty 5635139 | 2016-04-01T20:46:56Z | 2016-04-01T20:47:21Z | MEMBER | FWIW I'm not a fan of the |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204561404 | https://github.com/pydata/xarray/pull/815#issuecomment-204561404 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDU2MTQwNA== | max-sixty 5635139 | 2016-04-01T20:46:49Z | 2016-04-01T20:46:49Z | MEMBER | Right, I see. I think it's equivalent only to a pandas slice on ``` python In [71]: series = pd.Series(range(10)) In [72]: series[series>5] Out[72]: 6 6 7 7 8 8 9 9 dtype: int64 ...same as sel_whereIn [78]: df =pd.DataFrame(pd.np.arange(40).reshape(4,10)) In [79]: df[(df>11) & (df < 28)] Out[79]: 0 1 2 3 4 5 6 7 8 9 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1 NaN NaN 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 NaN NaN 3 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...same as where``` |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204527062 | https://github.com/pydata/xarray/pull/815#issuecomment-204527062 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDUyNzA2Mg== | shoyer 1217238 | 2016-04-01T19:08:46Z | 2016-04-01T19:10:15Z | MEMBER | @MaximilianR In this example I used ```
If I used @fmaussion that's correct that you cannot do lazy computation with the result of |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204525952 | https://github.com/pydata/xarray/pull/815#issuecomment-204525952 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDUyNTk1Mg== | fmaussion 10050469 | 2016-04-01T19:03:47Z | 2016-04-01T19:03:47Z | MEMBER | @pwolfram thanks. It's hard to tell form the print, but from the dimensions of the output it looks fine. The real use case would if you have (x,y,time), you would like to sel_where based on x,y only (for example a landmask or something). |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204525759 | https://github.com/pydata/xarray/pull/815#issuecomment-204525759 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDUyNTc1OQ== | max-sixty 5635139 | 2016-04-01T19:02:55Z | 2016-04-01T19:02:55Z | MEMBER | Forgive me if this is naive - is this equivalent to a pandas slice? |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204519675 | https://github.com/pydata/xarray/pull/815#issuecomment-204519675 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDUxOTY3NQ== | shoyer 1217238 | 2016-04-01T18:50:41Z | 2016-04-01T18:50:57Z | MEMBER | At some point it might be useful to be able to use dask to compute the mask (with |
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204501428 | https://github.com/pydata/xarray/pull/815#issuecomment-204501428 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDUwMTQyOA== | fmaussion 10050469 | 2016-04-01T18:21:04Z | 2016-04-01T18:21:04Z | MEMBER | This is very cool! Would it also work in that case?
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Add drop=True option for where on Dataset and DataArray 145243134 | |
204499751 | https://github.com/pydata/xarray/pull/815#issuecomment-204499751 | https://api.github.com/repos/pydata/xarray/issues/815 | MDEyOklzc3VlQ29tbWVudDIwNDQ5OTc1MQ== | shoyer 1217238 | 2016-04-01T18:14:42Z | 2016-04-01T18:14:42Z | MEMBER | Yes, expanding the section on "where" seems like the right place to put this. On Fri, Apr 1, 2016 at 11:08 AM, Phillip Wolfram notifications@github.com wrote:
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Add drop=True option for where on Dataset and DataArray 145243134 |
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