html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6360#issuecomment-1120614431,https://api.github.com/repos/pydata/xarray/issues/6360,1120614431,IC_kwDOAMm_X85Cyzgf,20365917,2022-05-09T04:02:37Z,2022-05-09T16:02:36Z,NONE,"
I am not getting proper plot. It is okay with Arcgis 10.5 , when I am trying xarray, plot looks many missing data or gridded points.
Data source: https://giovanni.gsfc.nasa.gov/session/B4259246-EB9D-11EA-A3A4-16015F835E51/D2BACBDC-CE49-11EC-9A98-0352ECEEFA7B/D2BAE400-CE49-11EC-9A98-0352ECEEFA7B///scrubbed.MODISA_L3m_ZLEE_2018_Zeu_lee.20140101.nc
https://giovanni.gsfc.nasa.gov/session/B4259246-EB9D-11EA-A3A4-16015F835E51/D2BACBDC-CE49-11EC-9A98-0352ECEEFA7B/D2BAE400-CE49-11EC-9A98-0352ECEEFA7B///scrubbed.MODISA_L3m_ZLEE_2018_Zeu_lee.20150101.nc
# faceted plot by month
g=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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1169750048
https://github.com/pydata/xarray/issues/3564#issuecomment-815880491,https://api.github.com/repos/pydata/xarray/issues/3564,815880491,MDEyOklzc3VlQ29tbWVudDgxNTg4MDQ5MQ==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,527323165
https://github.com/pydata/xarray/issues/2437#issuecomment-787289605,https://api.github.com/repos/pydata/xarray/issues/2437,787289605,MDEyOklzc3VlQ29tbWVudDc4NzI4OTYwNQ==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,363326726
https://github.com/pydata/xarray/issues/2437#issuecomment-787067778,https://api.github.com/repos/pydata/xarray/issues/2437,787067778,MDEyOklzc3VlQ29tbWVudDc4NzA2Nzc3OA==,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]?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,363326726
https://github.com/pydata/xarray/issues/2437#issuecomment-786687078,https://api.github.com/repos/pydata/xarray/issues/2437,786687078,MDEyOklzc3VlQ29tbWVudDc4NjY4NzA3OA==,20365917,2021-02-26T14:39:56Z,2021-02-26T14:39:56Z,NONE,"Here screenshot of my data
[](url) 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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,363326726
https://github.com/pydata/xarray/issues/2437#issuecomment-786548329,https://api.github.com/repos/pydata/xarray/issues/2437,786548329,MDEyOklzc3VlQ29tbWVudDc4NjU0ODMyOQ==,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)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,363326726