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  • "ncdump -h" like repr? · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
265178944 https://github.com/pydata/xarray/issues/1150#issuecomment-265178944 https://api.github.com/repos/pydata/xarray/issues/1150 MDEyOklzc3VlQ29tbWVudDI2NTE3ODk0NA== fmaussion 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

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  "ncdump -h" like repr? 193226503
265168933 https://github.com/pydata/xarray/issues/1150#issuecomment-265168933 https://api.github.com/repos/pydata/xarray/issues/1150 MDEyOklzc3VlQ29tbWVudDI2NTE2ODkzMw== shoyer 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() <class 'pandas.core.frame.DataFrame'> 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 inDataset.repr`)

I might pick a name that including a specific reference to attributes for this, maybe attr_info()?

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  "ncdump -h" like repr? 193226503
264963094 https://github.com/pydata/xarray/issues/1150#issuecomment-264963094 https://api.github.com/repos/pydata/xarray/issues/1150 MDEyOklzc3VlQ29tbWVudDI2NDk2MzA5NA== jhamman 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.
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  "ncdump -h" like repr? 193226503
264646057 https://github.com/pydata/xarray/issues/1150#issuecomment-264646057 https://api.github.com/repos/pydata/xarray/issues/1150 MDEyOklzc3VlQ29tbWVudDI2NDY0NjA1Nw== shoyer 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.

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  "ncdump -h" like repr? 193226503

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