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
423749397,MDU6SXNzdWU0MjM3NDkzOTc=,2836,xarray.concat() with compat='identical' fails for DataArray attrs,2418513,open,0,,,9,2019-03-21T14:11:29Z,2021-07-08T17:42:52Z,,NONE,,,,"Not sure if it was ever supposed to work with numpy arrays, but it actually does :thinking::

```python
>>> attr = np.array([[3, 4]])
>>> d1 = xr.Dataset({'z': 1}, attrs={'y': attr})
>>> d2 = xr.Dataset({'z': 2}, attrs={'y': attr.copy()})
>>> xr.concat([d1, d2], dim='z', compat='identical')
```

However, it fails if you use DataArray attrs:

```python
>>> attr = xr.DataArray([3, 4], {'x': [1, 2]}, 'x')
>>> d1 = xr.Dataset({'z': 1}, attrs={'y': attr})
>>> d2 = xr.Dataset({'z': 2}, attrs={'y': attr.copy()})
>>> xr.concat([d1, d2], dim='z', compat='identical')
ValueError: The truth value of an array with more than one element is ambiguous. 
Use a.any() or a.all()
```

Given that the check is simply `(a is b) or (a == b)`, should it try to do something smarter for array-like attrs?","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2836/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue
423016453,MDU6SXNzdWU0MjMwMTY0NTM=,2824,Dataset.from_records()?,2418513,open,0,,,4,2019-03-20T00:46:19Z,2021-05-13T20:20:52Z,,NONE,,,,"Currently, to easily create a `Dataset` from an existing numpy recarray (not a `DataArray`, which is currently bugged anyway with recarrays due to #1434), I couldn't find an easier way than

```python
df = xr.Dataset.from_dataframe(pd.DataFrame(my_recarray).set_index('foo'))
```

(which is kind of dumb since it allocates the memory twice)

It would definitely be nice to be able to do just this (perhaps with extra arguments to set index on the fly etc):

```python
df = xr.Dataset.from_records(my_recarray, ...)
```

(Apologies if I'm missing something obvious.)","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2824/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue
423774214,MDU6SXNzdWU0MjM3NzQyMTQ=,2837,DataArray plotting: pyplot compat and passing the style,2418513,open,0,,,6,2019-03-21T14:57:12Z,2019-04-11T16:25:49Z,,NONE,,,,"These are two unrelated issues in one really that I've noticed while trying to plot things directly from DataArray objects.

----

The following works as expected, by converting DataArray to pandas first)

```python
>>> arr.to_series().plot(style='.-')
>>> arr.to_series().plot.line(style='.-')
```

Passing Series to pyplot.plot() directly also works and retains index:

```python
>>> plt.plot(arr.to_series(), '.-')
```

Trying to set style directly when plotting from DataArray doesn't work:
```python
>>> arr.plot(style='.-')
AttributeError: Unknown property style
>>> arr.plot.line(style='.-')
AttributeError: Unknown property style
```

Passing DataArray to pyplot.plot() loses index:

```python
>>> plt.plot(arr, '.-')
# works but loses coords; same as plot.plot(arr.values, '.-')
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2837/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue
423023519,MDU6SXNzdWU0MjMwMjM1MTk=,2825,KeyError on selecting empty time slice from a datetime-indexed Dataset,2418513,open,0,,,4,2019-03-20T01:21:56Z,2019-03-20T17:58:24Z,,NONE,,,,"(xarray version: 0.11.3)

Just wanted to confirm this is expected behaviour: `sel()` with a date that would yield an empty selection throws an exception (I would naturally expect it to return a zero-length dataarray/dataset instead):

```python
>>> foo = xr.DataArray(
    np.array([1, 2, 3]),
    {'t': pd.to_datetime(['2018-01-01', '2018-02-02T01:01', '2018-02-02T02:02'])},
    dims=['t']
)

>>> foo.sel(t='2018-01-01').size
1

>>> foo.sel(t='2018-02-02').size
2

>>> foo.sel(t='2018-03-03').size  # expected 0?

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
TypeError: an integer is required

During handling of the above exception, another exception occurred:

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine._date_check_type()
KeyError: '2018-03-03'

During handling of the above exception, another exception occurred:

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
TypeError: an integer is required

During handling of the above exception, another exception occurred:

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine._date_check_type()

KeyError: '2018-03-03'

During handling of the above exception, another exception occurred:

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
KeyError: 1520035200000000000

During handling of the above exception, another exception occurred:

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
KeyError: Timestamp('2018-03-03 00:00:00')

During handling of the above exception, another exception occurred:

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
KeyError: 1520035200000000000

During handling of the above exception, another exception occurred:

pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.DatetimeEngine.get_loc()
KeyError: Timestamp('2018-03-03 00:00:00')

...

```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2825/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue