home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

5 rows where issue = 1222609313 and user = 90036937 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • jesieleo · 5 ✖

issue 1

  • netCDF + lazy backend: Error when sel is used with slice, reverse arrange · 5 ✖

author_association 1

  • NONE 5
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1303038334 https://github.com/pydata/xarray/issues/6560#issuecomment-1303038334 https://api.github.com/repos/pydata/xarray/issues/6560 IC_kwDOAMm_X85Nqsl- jesieleo 90036937 2022-11-04T06:42:18Z 2022-11-04T06:43:01Z NONE

First of all, thank you for your help @dcherian @max-sixty . I finally reproduced this problem. I put the ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, :][:, ::-1, :] to ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, ::10][:, ::-1, :] can make a minimal example.

``` import numpy as np import xarray as xr ds = xr.Dataset( { "z": ( ("time", "isoBaricInhPa", "latitude", "longitude"), np.ones((1, 5, 721, 1440)), ) }, coords={"latitude": np.linspace(-90, 90, 721)}, ).to_netcdf("test.nc") ds = xr.open_dataset('test.nc') a = ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, ::10][:, ::-1, :] print(a.sizes) print(a.shape) print(a)

Frozen({'time': 1, 'latitude': 73, 'longitude': 144}) (1, 73, 144) <xarray.DataArray 'z' (time: 1, latitude: 72, longitude: 144)> array([[[1., 1., ..., 1., 1.], [1., 1., ..., 1., 1.], ..., [1., 1., ..., 1., 1.], [1., 1., ..., 1., 1.]]]) Coordinates: * latitude (latitude) float64 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0 Dimensions without coordinates: time, longitude ```

{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 1
}
  netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313
1118482764 https://github.com/pydata/xarray/issues/6560#issuecomment-1118482764 https://api.github.com/repos/pydata/xarray/issues/6560 IC_kwDOAMm_X85CqrFM jesieleo 90036937 2022-05-05T12:20:59Z 2022-05-05T12:20:59Z NONE

Don't bundle data — build a new example from a basic array and demonstrate the bug.

Since I don't know how the grib file is generated, I can't reproduce it. But the data I use is the ECWMF official website data converted by engine='cfgrib', this problem may be caused by the 'cfgrib' engine, although it is not very big wrong, but it's a hidden danger. I'm not competent enough, sorry to bother you.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313
1116993532 https://github.com/pydata/xarray/issues/6560#issuecomment-1116993532 https://api.github.com/repos/pydata/xarray/issues/6560 IC_kwDOAMm_X85Ck_f8 jesieleo 90036937 2022-05-04T07:09:32Z 2022-05-04T07:09:32Z NONE

What is data3? We need an example that I can paste into a blank notebook and will show the problem.

I packed them in one .zip this time ,the second-dimensional coordinates of variable a do not correspond to the data

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313
1115771909 https://github.com/pydata/xarray/issues/6560#issuecomment-1115771909 https://api.github.com/repos/pydata/xarray/issues/6560 IC_kwDOAMm_X85CgVQF jesieleo 90036937 2022-05-03T06:15:50Z 2022-05-03T06:17:44Z NONE

But no, this is not sufficient — can you show your problem on an array like xr.DataArray(np.arange(12).reshape(2,3,4)), only adding extra as necessary? Please have another read of the links above showing how to minimize the examples.

Ok ,thanks. I try to simplify the problem on an array a = data3.sel(time='1979-1',isobaricInhPa=200).z[:, ::10,::10][:, ::-1,:] ,my question is that the coordinates DO NOT correspond to the data, there is 73 on coordinates latitude but only the there is 72 only on real data latitude.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313
1114655218 https://github.com/pydata/xarray/issues/6560#issuecomment-1114655218 https://api.github.com/repos/pydata/xarray/issues/6560 IC_kwDOAMm_X85CcEny jesieleo 90036937 2022-05-02T09:19:24Z 2022-05-02T09:57:55Z NONE

Sorry, this is the first time I use Github to report a problem, I don't understand it very well, it seems that I need to learn more. I have added a zip dile with a .ipynb file , don't know if it is ok?

------------------ 原始邮件 ------------------ 发件人: "Maximilian @.>; 发送时间: 2022年5月2日(星期一) 下午4:32 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [pydata/xarray] error when using .sel() and [:, ::10, ::10][:, ::-1, :] (Issue #6560)

@jesieleo — I'm probably being unclear, and I'm sure you're well-intentioned, but this & the previous issues aren't constructive for either of us so far.

In the politest possible way: please make an issue that is complete and "copy & pastes into an IPython prompt or Binder notebook, returning the result.". You cannot reference data that is only on your computer. This will require work from your end to take the example you have there, and reduce it to the bare minimum.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>

{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 1
}
  netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313

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]);
Powered by Datasette · Queries took 13.06ms · About: xarray-datasette