issue_comments

Table actions

1 row where author_association = "NONE", issue = 514672231 and user = 6815953 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • kuchaale · 1 ✖

issue 1

  • RuntimeError: NetCDF: DAP failure · 1 ✖

author_association 1

  • NONE · 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

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]);