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- hafez-ahmad · 6 ✖
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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1120614431 | https://github.com/pydata/xarray/issues/6360#issuecomment-1120614431 | https://api.github.com/repos/pydata/xarray/issues/6360 | IC_kwDOAMm_X85Cyzgf | hafez-ahmad 20365917 | 2022-05-09T04:02:37Z | 2022-05-09T16:02:36Z | NONE |
faceted plot by monthg=data_mean.MODISA_L3m_ZLEE_2018_Zeu_lee.plot(x='lon',y='lat',col='month',col_wrap=4,cmap='RdBu_r',subplot_kws={ "projection": ccrs.Robinson()},figsize=(20,20)) for i, ax in enumerate(g.axes.flat): ax.set_title(data_mean.month.values[i]) ax.coastlines() ax.add_feature(cfeature.BORDERS.with_scale('50m'), linewidth=0.5, edgecolor='black') ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.5, linestyle='-') Would you please help me out with why I am not getting the proper surface? Thank you |
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Multidimensional `interpolate_na()` 1169750048 | |
815880491 | https://github.com/pydata/xarray/issues/3564#issuecomment-815880491 | https://api.github.com/repos/pydata/xarray/issues/3564 | MDEyOklzc3VlQ29tbWVudDgxNTg4MDQ5MQ== | hafez-ahmad 20365917 | 2021-04-08T14:41:59Z | 2022-04-21T20:29:30Z | NONE | Hey everyone ! is there any way to change or reorder month names [ 'DJF' 'JJA' 'MAM' 'SON'] during seasonal grouping? I like to change 'DJF' 'JJA' 'MAM' 'SON' combination and find out winter season Dec+Jan+Feb+Mar=winter season. Your assistant highly appreciated. |
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DOC: from examples to tutorials 527323165 | |
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
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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