issues
1 row where type = "issue" and user = 6866371 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 436669736 | MDU6SXNzdWU0MzY2Njk3MzY= | 2916 | xr.open_dataset no groups info | ThetomekK 6866371 | open | 0 | 7 | 2019-04-24T12:32:15Z | 2019-07-13T21:42:34Z | NONE | Code Sample, a copy-pastable example if possibleI have to write some data to disk using xr.to_netcdf() method. The data must be structured in groups so i use the group key word. Reading the .nc file from disk leads to empty data variables if group not supplied. Here some samples ```python data_ds.to_netcdf(path=savepath,mode='w',format='NETCDF4',group='Audio',engine='netcdf4') datafromdisk = xr.open_dataset(savepath) datafromdisk <xarray.Dataset> Dimensions: () Data variables: empty datafromdisk = xr.open_dataset(savepath,group='Audio') <xarray.Dataset> Dimensions: (time: 15360000) Coordinates: * time (time) datetime64[ns] 2017-05-30T07:40:00 ... 2017-05-30T07:49:59.992280938 Data variables: audio (time) float32 ... Attributes: unit: Pa ``` Problem descriptionActually this is not a real problem, if you keep in mind what data groups are strored in a .nc file. At the moment, i work arround with netCDF4 to get infos about possible groups within a .nc file. ```python from netCDF4 import Dataset rootgrp = Dataset(savepath) rootgrp <class 'netCDF4._netCDF4.Dataset'> root group (NETCDF4 data model, file format HDF5): dimensions(sizes): variables(dimensions): groups: Audio orrootgrp.groups OrderedDict([('Audio', <class 'netCDF4._netCDF4.Group'> group /Audio: unit: Pa dimensions(sizes): time(15360000) variables(dimensions): float32 audio(time), float64 time(time) groups: )]) ``` Expected OutputWell, at least something like this i would appreciate: ```python datafromdisk = xr.open_dataset(savepath) datafromdisk <class 'netCDF4._netCDF4.Dataset'> root group (NETCDF4 data model, file format HDF5): dimensions(sizes): variables(dimensions): groups: Audio ``` Output of
|
{
"url": "https://api.github.com/repos/pydata/xarray/issues/2916/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
xarray 13221727 | issue |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);