Expose more information in DataArray.__repr__ #128
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This PR changes the `DataArray` representation so that it displays more of the
information associated with a data array:
- "Coordinates" are indicated by their name and the `repr` of the
corresponding pandas.Index object (to indicate how they are used as
indices).
- "Linked" dataset variables are also listed.
* These are other variables in the dataset associated with a DataArray
which are also indexed along with the DataArray.
* They accessible from the `dataset` attribute or by indexing the data
array with a string.
* Perhaps their most convenient aspect is that they enable [`groupby`
operations by
name](http://xray.readthedocs.org/en/latest/tutorial.html#apply) for
DataArray objets.
* This is an admitedly somewhat confusing (though convenient) notion that I
am considering [removing](https://github.com/xray-
pydata/xray/issues/117), but we if we don't remove them we should
certainly expose their existence more clearly, given the potential
benefits in expressiveness and costs in performance.
Questions to resolve:
- Is "Linked dataset variables" the best name for these?
- Perhaps it would be useful to show more information about these linked
variables, such as their dimensions and/or shape?
Examples of the new repr are on nbviewer:
http://nbviewer.ipython.org/gist/shoyer/94936e5b71613683d95a
shoyer
added a commit
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May 29, 2014
Expose more information in DataArray.__repr__
keewis
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Jan 17, 2024
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This PR changes the
DataArrayrepresentation so that it displays more of the information associated with a data array:reprof thecorresponding pandas.Index object (to indicate how they are used as
indices).
which are also indexed along with the DataArray.
datasetattribute or by indexing the dataarray with a string.
groupbyoperations by
name for
DataArray objets.
am considering [removing](https://github.com/xray-
pydata/xray/issues/117), but we if we don't remove them we should
certainly expose their existence more clearly, given the potential
benefits in expressiveness and costs in performance.
Questions to resolve:
variables, such as their dimensions and/or shape?
Examples of the new repr are on nbviewer:
http://nbviewer.ipython.org/gist/shoyer/94936e5b71613683d95a