issues

Table actions

3 rows where user = 20254164 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 2

state 2

repo 1

id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
928381010 MDU6SXNzdWU5MjgzODEwMTA= 5515 NetCDF: Attempting netcdf-4 operation on netcdf-3 file mickaellalande 20254164 open 0     4 2021-06-23T15:23:55Z 2023-03-27T21:07:32Z   CONTRIBUTOR      

I'm trying to open MODIS .hdf files, but I get the error : NetCDF: Attempting netcdf-4 operation on netcdf-3 file. Does anyone knows how to open that files? (https://nsidc.org/data/MOD10C1)

```python import xarray as xr xr.open_dataset('MOD10C1.A2000055.061.2020037182124.hdf')

RuntimeError: NetCDF: Attempting netcdf-4 operation on netcdf-3 file ```

I already opened hdf files from another product without any issue... (https://nsidc.org/data/MOD10CM)

Here are two examples, with one that works and the other one that causes the issue: MODIS.zip

Thanks in advance for your help!

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.5 | packaged by conda-forge | (default, Jul 24 2020, 01:25:15) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 4.19.0-16-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: fr_FR.UTF-8 LOCALE: fr_FR.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.0 pandas: 1.1.0 numpy: 1.19.1 scipy: 1.5.2 netCDF4: 1.5.4 pydap: None h5netcdf: None h5py: None Nio: None zarr: 2.4.0 cftime: 1.2.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.1.5 cfgrib: 0.9.8.5 iris: None bottleneck: None dask: 2.21.0 distributed: 2.21.0 matplotlib: 3.2.0 cartopy: 0.17.0 seaborn: None numbagg: None pint: None setuptools: 49.2.0.post20200712 pip: 20.2 conda: None pytest: 6.0.0 IPython: 7.16.1 sphinx: None 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/5515/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue
514529201 MDExOlB1bGxSZXF1ZXN0MzM0MTMxMzI1 3464 Error in leap year? mickaellalande 20254164 closed 0     13 2019-10-30T09:54:07Z 2019-10-31T13:15:16Z 2019-10-30T14:51:40Z CONTRIBUTOR   0 pydata/xarray/pulls/3464

I've tried this script; however, it adds +1 to all months of the leap years. It sounds like an error, or I am wrong? So I wrote the condition "and month == 2" line 86 so that only the month of February gets +1.

  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] Passes black . && mypy . && flake8
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3464/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 pull
514539931 MDU6SXNzdWU1MTQ1Mzk5MzE= 3465 Error in xarray/doc/examples/monthly-means.rst line 86 ? mickaellalande 20254164 closed 0     0 2019-10-30T10:10:22Z 2019-10-30T14:51:54Z 2019-10-30T14:51:54Z CONTRIBUTOR      

I have made a pull request (Error in leap year? #3464) but I don't know how it works. I guess there is a mistake in xarray/doc/examples/monthly-means.rst line 86 :

I've tried this script; however, it adds +1 to all months of the leap years. It sounds like an error, or I am wrong? So I wrote the condition "and month == 2" line 86 so that only the month of February gets +1.

So I propose :

if leap_year(year, calendar=calendar) and month == 2:

Instead of:

if leap_year(year, calendar=calendar):

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3465/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue

Advanced export

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

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);