issue_comments

Table actions

8 rows where user = 6815953 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: issue_url, reactions, created_at (date), updated_at (date)

user 1

  • kuchaale · 8 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1013673140 https://github.com/pydata/xarray/issues/3466#issuecomment-1013673140 https://api.github.com/repos/pydata/xarray/issues/3466 IC_kwDOAMm_X848a2y0 kuchaale 6815953 2022-01-15T12:21:44Z 2022-01-17T10:37:59Z NONE

Hi all, I encountered the same problem when trying to download NASA's GEOS-5 data (see below). It worked occasionally but I had to restart the script several times.

```python import xarray as xr import pandas as pd

URL ='https://opendap.nccs.nasa.gov/dods/GEOS-5/fp/0.25_deg/assim/inst3_3d_asm_Np' ds = xr.open_dataset(URL,engine='netcdf4') var_ls = ['omega', 't', 'v', 'u'] lev_ls = [1000., 975., 950., 925., 900., 875., 850., 825., 800., 775., 750., 700., 650., 600., 550., 500., 450., 400., 350., 300., 275., 250., 225., 200., 175., 150., 125., 100., 70., 50., 30., 10., 5.,3, 2, 1]

time_range = pd.date_range('2021-01-02T12', '2021-01-07', freq = '6H')

for sel_date in time_range: ds_sel = ds[var_ls].sel( time = sel_date, lev = lev_ls, method = 'nearest' ) ouf_date=sel_date.strftime('%Y%m%d%H') outfile = f'geos5_subset_{ouf_date}.nc' print(outfile) ds_sel.to_netcdf(outfile) `` [EDIT] It may have helped to add.loadbeforeto_netcdf` though.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   RuntimeError: NetCDF: DAP failure 514672231
874796048 https://github.com/pydata/xarray/issues/3937#issuecomment-874796048 https://api.github.com/repos/pydata/xarray/issues/3937 MDEyOklzc3VlQ29tbWVudDg3NDc5NjA0OA== kuchaale 6815953 2021-07-06T14:11:52Z 2021-07-06T14:11:52Z NONE

Would python da.weighted(weights).integrate(...) be in scope as well?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   compose weighted with groupby, coarsen, resample, rolling etc. 594669577
554742849 https://github.com/pydata/xarray/issues/3534#issuecomment-554742849 https://api.github.com/repos/pydata/xarray/issues/3534 MDEyOklzc3VlQ29tbWVudDU1NDc0Mjg0OQ== kuchaale 6815953 2019-11-17T12:55:26Z 2019-11-17T12:55:26Z NONE

@TomNicholas Is it really necessary to use the label_from_attrs function? It would label row and column titles with standard or long name in addition to units. It seems redundant to me. Nonetheless, there may be also an option how to switch on/off such a functionality.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Label row and column titles with units 523027553
366665888 https://github.com/pydata/xarray/issues/575#issuecomment-366665888 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM2NjY2NTg4OA== kuchaale 6815953 2018-02-19T11:45:01Z 2018-02-19T11:45:01Z NONE

@dcherian go ahead. I planned to revisit it, but it would not be definitely soon.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   1D line plot with data on the x axis 106562046
355635041 https://github.com/pydata/xarray/pull/1718#issuecomment-355635041 https://api.github.com/repos/pydata/xarray/issues/1718 MDEyOklzc3VlQ29tbWVudDM1NTYzNTA0MQ== kuchaale 6815953 2018-01-05T18:53:18Z 2018-01-05T18:53:18Z NONE

mwaskom/seaborn#1285

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   1D line plot with data on both axes + errorbar plotting added 274281232
345926175 https://github.com/pydata/xarray/issues/1730#issuecomment-345926175 https://api.github.com/repos/pydata/xarray/issues/1730 MDEyOklzc3VlQ29tbWVudDM0NTkyNjE3NQ== kuchaale 6815953 2017-11-21T06:03:51Z 2017-11-21T06:04:25Z NONE

@jhamman - I tried to open it directly from pydap (see my updated gist) - not working either and the same error message.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   404 HTTP Status through PydapDataStore connection to Earth System Grid Federation 275421319
344708114 https://github.com/pydata/xarray/issues/575#issuecomment-344708114 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM0NDcwODExNA== kuchaale 6815953 2017-11-15T19:50:39Z 2017-11-15T19:50:39Z NONE

I think plotting two 1D variables from one Dataset against each other may be useful. However, I was not able to figure out yet how to proceed with it (see my amateur PR).

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   1D line plot with data on the x axis 106562046
341170005 https://github.com/pydata/xarray/issues/575#issuecomment-341170005 https://api.github.com/repos/pydata/xarray/issues/575 MDEyOklzc3VlQ29tbWVudDM0MTE3MDAwNQ== kuchaale 6815953 2017-11-01T17:02:51Z 2017-11-01T17:12:12Z NONE

Would it make sense to have such minimalistic line function?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   1D line plot with data on the x axis 106562046

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);