html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1150#issuecomment-265178944,https://api.github.com/repos/pydata/xarray/issues/1150,265178944,MDEyOklzc3VlQ29tbWVudDI2NTE3ODk0NA==,10050469,2016-12-06T15:27:47Z,2016-12-06T15:27:47Z,MEMBER,"Another idea would be to simply add the variables attrs to the current ``__repr__`` (i.e no need for a new function).
I'm getting slightly off-topic, but I am also in favor or removing the data values from the repr altogether, as it creates problems and is not really useful (I think). See also:
https://github.com/pydata/xarray/issues/1044
https://github.com/pydata/xarray/issues/820
and other issues mentioning repr : https://github.com/pydata/xarray/issues?utf8=%E2%9C%93&q=is%3Aissue%20is%3Aopen%20repr","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,193226503
https://github.com/pydata/xarray/issues/1150#issuecomment-265168933,https://api.github.com/repos/pydata/xarray/issues/1150,265168933,MDEyOklzc3VlQ29tbWVudDI2NTE2ODkzMw==,1217238,2016-12-06T14:51:20Z,2016-12-06T14:51:20Z,MEMBER,"pandas already has a (rarely used) `DataFrame.info()` method, which is a little different:
```
In [3]: df = pd.DataFrame({'x': [1, 2, 3], 'y': ['a', 'b', 'c'], 'z': [-1, -2, -3]})
In [4]: df
Out[4]:
x y z
0 1 a -1
1 2 b -2
2 3 c -3
In [5]: df.info()
RangeIndex: 3 entries, 0 to 2
Data columns (total 3 columns):
x 3 non-null int64
y 3 non-null object
z 3 non-null int64
dtypes: int64(2), object(1)
memory usage: 152.0+ bytes
```
(most of that information is already in `Dataset.__repr__`)
I might pick a name that including a specific reference to attributes for this, maybe `attr_info()`?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,193226503
https://github.com/pydata/xarray/issues/1150#issuecomment-264963094,https://api.github.com/repos/pydata/xarray/issues/1150,264963094,MDEyOklzc3VlQ29tbWVudDI2NDk2MzA5NA==,2443309,2016-12-05T20:11:09Z,2016-12-05T20:11:09Z,MEMBER,"I think something like this would be quite useful. This is most applicable to the `Dataset` and I can see a new method for printing this info. What would we call that method?
- Pandas has a `df.head` and I think this is technically information stored in the header of the netcdf file, so `ds.head()` could work but pandas prints out some number of rows as well.
- Maybe just `ds.info()` which is simple enough and self-explanatory, also no confusion with `df.head()` which returns a `DataFrame`.
- I don't really like the `*dump*` alternatives since they will be pretty close to the `pickle.dump`.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,193226503
https://github.com/pydata/xarray/issues/1150#issuecomment-264646057,https://api.github.com/repos/pydata/xarray/issues/1150,264646057,MDEyOklzc3VlQ29tbWVudDI2NDY0NjA1Nw==,1217238,2016-12-03T15:36:02Z,2016-12-03T15:36:02Z,MEMBER,"I don't think anything like this currently exists.
I agree that some way to conveniently summarize attributes would be nice to have. See also #244.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,193226503