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- applying ufunc over lon and lat · 3 ✖
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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566392514 | https://github.com/pydata/xarray/issues/3632#issuecomment-566392514 | https://api.github.com/repos/pydata/xarray/issues/3632 | MDEyOklzc3VlQ29tbWVudDU2NjM5MjUxNA== | mada0007 44284270 | 2019-12-17T05:51:07Z | 2019-12-17T05:51:07Z | NONE | I found the solution, apparent results is stored as a list event thought its just a single number and then the program interprets this as having more than one element which cant be store in output. Solution was to convert results into numpy array in the original code and then it works. The code is still not as fast as I would wish though. |
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applying ufunc over lon and lat 538809911 | |
566374680 | https://github.com/pydata/xarray/issues/3632#issuecomment-566374680 | https://api.github.com/repos/pydata/xarray/issues/3632 | MDEyOklzc3VlQ29tbWVudDU2NjM3NDY4MA== | mada0007 44284270 | 2019-12-17T04:24:25Z | 2019-12-17T04:24:25Z | NONE | I just check the shape of the output is 180 x 360 and results is [0] output.shape = (180, 360) result = [0] |
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applying ufunc over lon and lat 538809911 | |
566372152 | https://github.com/pydata/xarray/issues/3632#issuecomment-566372152 | https://api.github.com/repos/pydata/xarray/issues/3632 | MDEyOklzc3VlQ29tbWVudDU2NjM3MjE1Mg== | mada0007 44284270 | 2019-12-17T04:11:54Z | 2019-12-17T04:11:54Z | NONE | hi dcherian, I have tried that without any success. I was how to really apply the unfunc on a function to work over time for a 3D gridded dataset? |
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applying ufunc over lon and lat 538809911 |
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