issue_comments
7 rows where issue = 543197350 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- "[Errno -90] NetCDF: file not found: b" when opening netCDF from server · 7 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1464128552 | https://github.com/pydata/xarray/issues/3653#issuecomment-1464128552 | https://api.github.com/repos/pydata/xarray/issues/3653 | IC_kwDOAMm_X85XRNQo | zoj613 44142765 | 2023-03-10T17:24:35Z | 2023-03-10T17:26:06Z | NONE |
When trying this snippet more than once I get a |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
832712426 | https://github.com/pydata/xarray/issues/3653#issuecomment-832712426 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDgzMjcxMjQyNg== | rabernat 1197350 | 2021-05-05T14:01:25Z | 2021-05-05T14:01:33Z | MEMBER | Update: there is now a way to read a remote netCDF file from an HTTP server directly using the netcdf-python library. The trick is to append ```python import xarray as xr import netCDF4 # I'm using version 1.5.6 url = "https://www.ldeo.columbia.edu/~rpa/NOAA_NCDC_ERSST_v3b_SST.nc#mode=bytes" raw netcdf4 Datasetds = netCDF4.Dataset(url) xarray Datasetds = xr.open_dataset(url) ``` |
{ "total_count": 12, "+1": 5, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 6, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
570163736 | https://github.com/pydata/xarray/issues/3653#issuecomment-570163736 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDU3MDE2MzczNg== | rabernat 1197350 | 2020-01-02T10:05:54Z | 2020-01-02T10:05:54Z | MEMBER | More concise syntax for the same thing ```python import xarray as xr import fsspec url = 'https://www.ldeo.columbia.edu/~rpa/NOAA_NCDC_ERSST_v3b_SST.nc' with fsspec.open(url) as fobj: ds = xr.open_dataset(fobj) print(ds) ``` |
{ "total_count": 3, "+1": 2, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
570156277 | https://github.com/pydata/xarray/issues/3653#issuecomment-570156277 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDU3MDE1NjI3Nw== | rabernat 1197350 | 2020-01-02T09:34:58Z | 2020-01-02T09:34:58Z | MEMBER |
This is not a limitation of xarray per se, but of the netcdf4-python library itself. You can, however, get around this limitation by using fsspec. ```python import xarray as xr from fsspec.implementations.http import HTTPFileSystem your Azure URL is not publicly accessible, so I used another oneurl = 'https://www.ldeo.columbia.edu/~rpa/NOAA_NCDC_ERSST_v3b_SST.nc' fs = HTTPFileSystem() fobj = fs.open(url) ds = xr.open_dataset(fobj) ds ``` This will not be very performant, but it will work. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
570095263 | https://github.com/pydata/xarray/issues/3653#issuecomment-570095263 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDU3MDA5NTI2Mw== | daxsoule 29660939 | 2020-01-02T00:09:36Z | 2020-01-02T00:26:11Z | NONE | Thanks for the responses. I think I understand this issue now. I am not an expert, but Xarray does not appear to be able to open netCDF from a url without a THREADS server. In this case ```python import xarray as xr url = https://opendap.oceanobservatories.org/thredds/dodsC/ooi/dax.soule@qc.cuny.edu/20191228T052214778Z-RS03ECAL-MJ03E-06-BOTPTA302-streamed-botpt_nano_sample/deployment0001_RS03ECAL-MJ03E-06-BOTPTA302-streamed-botpt_nano_sample_20191005T000000-20191005T235959.950000.nc ds = xr.open_dataset(url) ``` Works just fine. So I see how to make xarray work using OpenDAP, but I am still unable to open a file directly from object store using the HTTPS URL. I am not sure that this is supported, but if it is I would love to see an example. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
570089112 | https://github.com/pydata/xarray/issues/3653#issuecomment-570089112 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDU3MDA4OTExMg== | dopplershift 221526 | 2020-01-01T22:34:46Z | 2020-01-01T22:34:46Z | CONTRIBUTOR | This isn't accessing netCDF using opendap, it's directly accessing using HTTP. Did xarray or netCDF gain support for this and I failed to notice? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 | |
570088451 | https://github.com/pydata/xarray/issues/3653#issuecomment-570088451 | https://api.github.com/repos/pydata/xarray/issues/3653 | MDEyOklzc3VlQ29tbWVudDU3MDA4ODQ1MQ== | rabernat 1197350 | 2020-01-01T22:23:53Z | 2020-01-01T22:23:53Z | MEMBER | Does it work if you opens the url directly with netcdf4, bypassing xarray? If not, then it’s a netcdf4 or thredds problem.
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"[Errno -90] NetCDF: file not found: b" when opening netCDF from server 543197350 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 4