issues

Table actions

2 rows where state = "closed", type = "issue" and user = 2656596 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 1

  • issue · 2 ✖

state 1

  • closed · 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
359307319 MDU6SXNzdWUzNTkzMDczMTk= 2411 datetime parser different between 32bit and 64bit installations mullenkamp 2656596 closed 0     2 2018-09-12T04:03:11Z 2018-09-13T03:54:17Z 2018-09-13T03:54:17Z NONE      

I just noticed that my 64bit Python 3.6 installation with xarray does not parse the datetimes correctly from a netcdf, while the 32bit version seems to work fine. There seems to be some kind of offset.

Since I can't attach a netcdf to this issue, here's a link to an example netcdf file: https://drive.google.com/open?id=1WhtWmN1ZBpbsfu7q7hGy2le-nujInfkI

This seems to happen for both 0.10.7 and 0.10.8. The datetime values should be hourly.

Thanks!

```python import xarray as xr

ms1 = xr.open_dataset(nc) print(ms1.time) ```

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/2411/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue
270440308 MDU6SXNzdWUyNzA0NDAzMDg= 1681 Serializing attrs mullenkamp 2656596 closed 0     3 2017-11-01T20:24:48Z 2017-11-12T07:02:41Z 2017-11-12T07:02:41Z NONE      

I'm running Windows 10, Python 2.7, and xarray version 0.9.6

Using this dictionary for a Dataset attribute: ```python from xarray import Dataset

crs = {u'ellps': u'GRS80', u'k': 0.9996, u'lat_0': 0, u'lon_0': 173, u'no_defs': True, u'proj': u'tmerc', u'units': u'm', u'x_0': 1600000, u'y_0': 10000000}

ds = Dataset() ds.attrs['crs'] = crs ```

When attempting to serialize the dataset attribute, I get the

TypeError "Invalid value for attr: {u'lon_0': 173, u'k': 0.9996, u'ellps': u'GRS80', u'y_0': 10000000, u'no_defs': 'True', u'proj': u'tmerc', u'x_0': 1600000, u'units': u'm', u'lat_0': 0} must be a number string, ndarray or a list/tuple of numbers/strings for serialization to netCDF files"

This used to work in previous versions.

I then convert it to a list of tuples via crs.items(), and it successfully saves the netcdf. But when I then open the netcdf back up, the list of tuples become one long concatenated string. I'm guessing the core netcdf library has become more restrictive, but it would be nice to fully clarify what can be serialized or not.

Thanks

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/1681/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]);