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- am-thyst · 12 ✖
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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429560170 | https://github.com/pydata/xarray/issues/2483#issuecomment-429560170 | https://api.github.com/repos/pydata/xarray/issues/2483 | MDEyOklzc3VlQ29tbWVudDQyOTU2MDE3MA== | am-thyst 41115380 | 2018-10-13T17:30:16Z | 2018-10-13T18:41:06Z | NONE | @fmaussion Thank you, I'm trying this now. I actually just came back to this thread to edit my original reply - xarray 0.8 won't cut it for me because I need to use features from 0.10 That Edit: Solved, thank you |
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'module' object has no attribute 'AxisError' 369695807 | |
429558511 | https://github.com/pydata/xarray/issues/2483#issuecomment-429558511 | https://api.github.com/repos/pydata/xarray/issues/2483 | MDEyOklzc3VlQ29tbWVudDQyOTU1ODUxMQ== | am-thyst 41115380 | 2018-10-13T17:08:19Z | 2018-10-13T17:08:19Z | NONE | @max-sixty @jhamman thanks for your replies, I uninstalled both versions of xarray that I had, tried (unsuccessfully |
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'module' object has no attribute 'AxisError' 369695807 | |
426421471 | https://github.com/pydata/xarray/issues/2450#issuecomment-426421471 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjQyMTQ3MQ== | am-thyst 41115380 | 2018-10-02T20:38:37Z | 2018-10-02T20:38:37Z | NONE | @spencerkclark yeah I was using a different platform, updated my xarray version and this works now, thanks! |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426394309 | https://github.com/pydata/xarray/issues/2450#issuecomment-426394309 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM5NDMwOQ== | am-thyst 41115380 | 2018-10-02T19:07:37Z | 2018-10-02T19:07:37Z | NONE | @spencerkclark ```python Traceback (most recent call last): File "/var/spool/torque/mom_priv/jobs/63347.rdf-xcat.SC", line 22, in <module> a = ml50_shear[0].where(ml50_shear[0] >= 11, other = 0) NotImplementedError: The optional argument 'other' has not yet been implemented ``` |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426384000 | https://github.com/pydata/xarray/issues/2450#issuecomment-426384000 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM4NDAwMA== | am-thyst 41115380 | 2018-10-02T18:35:32Z | 2018-10-02T18:47:07Z | NONE | @spencerkclark Oh you're right, I didn't think about that - it returns 4 Gonna try with just the first of the four |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426377815 | https://github.com/pydata/xarray/issues/2450#issuecomment-426377815 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM3NzgxNQ== | am-thyst 41115380 | 2018-10-02T18:17:10Z | 2018-10-02T18:17:10Z | NONE | @spencerkclark ah sorry I missed line 5 - I'm not looking to get the mean, I want to make sure the unusual values are still represented. That might be why mine went wrong, it generally only works when there's just one time. Anyway, here's what I tried: ```python import xarray as xr from function_codes import sfcwinds, complete_shear, winds import os pathway = #my pathway os.chdir(pathway) sfc_winds = sfcwinds("sfc") ml50_winds = winds("ml50") ml50_shear = complete_shear(sfc_winds, ml50_winds) a = ml50_shear.where(ml50_shear >= 11, other = 0) b = a.where(a == 0, other = 1) pa = (b.sum('time') / b.sizes['time']) * 100 print(pa) ``` |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426371853 | https://github.com/pydata/xarray/issues/2450#issuecomment-426371853 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM3MTg1Mw== | am-thyst 41115380 | 2018-10-02T17:59:47Z | 2018-10-02T17:59:47Z | NONE | @spencerkclark following your method:
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da.loc[date[0]] brings up two instead of one 365438396 | |
426354773 | https://github.com/pydata/xarray/issues/2450#issuecomment-426354773 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM1NDc3Mw== | am-thyst 41115380 | 2018-10-02T17:10:45Z | 2018-10-02T17:10:45Z | NONE | @spencerkclark Thanks a lot, I'll give it a try 👍 |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426346137 | https://github.com/pydata/xarray/issues/2450#issuecomment-426346137 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjM0NjEzNw== | am-thyst 41115380 | 2018-10-02T16:45:17Z | 2018-10-02T16:45:17Z | NONE | @spencerkclark
This is not my complete code but you should get the idea, as I said it works fine with only 1 time per day |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426329598 | https://github.com/pydata/xarray/issues/2450#issuecomment-426329598 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjMyOTU5OA== | am-thyst 41115380 | 2018-10-02T15:58:21Z | 2018-10-02T15:58:21Z | NONE | @spencerkclark I'm creating a 2D array of the percentage of time each lon/lat coordinate exceeds a defined threshold. I did this fine before, but I was only using 1 time from each day |
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da.loc[date[0]] brings up two instead of one 365438396 | |
426316501 | https://github.com/pydata/xarray/issues/2450#issuecomment-426316501 | https://api.github.com/repos/pydata/xarray/issues/2450 | MDEyOklzc3VlQ29tbWVudDQyNjMxNjUwMQ== | am-thyst 41115380 | 2018-10-02T15:24:21Z | 2018-10-02T15:24:21Z | NONE | @spencerkclark thanks for this, using '1979-01-01T00' works which is a relief. I am trying to use the method of date[number] because I have in excess of 4,000 times to go through. Is there a way to get it to work? I figured adding the %H would work, but obviously not! Otherwise, at least I know I can revise my code to state the datetime explicitly. |
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da.loc[date[0]] brings up two instead of one 365438396 | |
407409837 | https://github.com/pydata/xarray/issues/2307#issuecomment-407409837 | https://api.github.com/repos/pydata/xarray/issues/2307 | MDEyOklzc3VlQ29tbWVudDQwNzQwOTgzNw== | am-thyst 41115380 | 2018-07-24T13:38:56Z | 2018-07-24T13:38:56Z | NONE | @fmaussion thank you! Think I got a bit confused |
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Pick a certain time 344019665 |
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