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4 rows where issue = 363326726 and user = 20365917 sorted by updated_at descending

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  • hafez-ahmad · 4 ✖

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  • xarray potential inconstistencies with cftime · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
787289605 https://github.com/pydata/xarray/issues/2437#issuecomment-787289605 https://api.github.com/repos/pydata/xarray/issues/2437 MDEyOklzc3VlQ29tbWVudDc4NzI4OTYwNQ== hafez-ahmad 20365917 2021-02-28T03:43:05Z 2021-02-28T03:43:05Z NONE

@spencerkclark 67935 67966 67994 ... 115355 115385 are actually time. But they are stored aa integer. I like to convert all integer to date. My attached data has exact same time.

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  xarray potential inconstistencies with cftime 363326726
787067778 https://github.com/pydata/xarray/issues/2437#issuecomment-787067778 https://api.github.com/repos/pydata/xarray/issues/2437 MDEyOklzc3VlQ29tbWVudDc4NzA2Nzc3OA== hafez-ahmad 20365917 2021-02-27T12:47:37Z 2021-02-27T12:47:37Z NONE

@spencerkclark I like to convert datetime. My dataset time is not familiar. It looks like 456852,85993, is there anyvway to convert 456852 to dmy [01-01-2020]?

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  xarray potential inconstistencies with cftime 363326726
786687078 https://github.com/pydata/xarray/issues/2437#issuecomment-786687078 https://api.github.com/repos/pydata/xarray/issues/2437 MDEyOklzc3VlQ29tbWVudDc4NjY4NzA3OA== hafez-ahmad 20365917 2021-02-26T14:39:56Z 2021-02-26T14:39:56Z NONE

Here screenshot of my data here dataset link https://portal.grdc.bafg.de/grdcdownload/external/d94b2ca6-90c3-4220-b0ae-03250f809afe/2021-02-26_08-30.zip I like to convert julian date to normal calendar datetime like (22-01-2020)

thank you Hafez

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  xarray potential inconstistencies with cftime 363326726
786548329 https://github.com/pydata/xarray/issues/2437#issuecomment-786548329 https://api.github.com/repos/pydata/xarray/issues/2437 MDEyOklzc3VlQ29tbWVudDc4NjU0ODMyOQ== hafez-ahmad 20365917 2021-02-26T10:08:47Z 2021-02-26T10:08:47Z NONE

How can I canvert julian to dmy index or datetime in pandas? , I have following dataset Dimensions: id: 170time: 1560 Coordinates: time (time) int64 67935 67966 67994 ... 115355 115385 array([ 67935, 67966, 67994, ..., 115324, 115355, 115385], dtype=int64)

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  xarray potential inconstistencies with cftime 363326726

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