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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
123983561 MDU6SXNzdWUxMjM5ODM1NjE= 686 sum of sum 5049737 closed 0     2 2015-12-27T15:34:31Z 2015-12-27T20:00:05Z 2015-12-27T20:00:05Z MEMBER      

Hello,

sum of sum behave differently between Pandas and xray.

I don't if that's an issue or a feature.

``` In [644]: df0=pd.DataFrame([[1,2,3],[4,5,6]])

In [645]: df0.sum() Out[645]: 0 5 1 7 2 9 dtype: int64

In [646]: df0.sum().sum() Out[646]: 21

In [647]: ds0=xray.Dataset.from_dataframe(df0)

In [648]: ds0 Out[648]: <xray.Dataset> Dimensions: (index: 2) Coordinates: * index (index) int64 0 1 Data variables: 0 (index) int64 1 4 1 (index) int64 2 5 2 (index) int64 3 6

In [649]: ds0.sum().sum() Out[649]: <xray.Dataset> Dimensions: () Coordinates: empty Data variables: 0 int64 5 1 int64 7 2 int64 9

In [650]: ds0.sum() Out[650]: <xray.Dataset> Dimensions: () Coordinates: empty Data variables: 0 int64 5 1 int64 7 2 int64 9

In [651]: ds0.sum().sum() Out[651]: <xray.Dataset> Dimensions: () Coordinates: empty Data variables: 0 int64 5 1 int64 7 2 int64 9 ```

Kind regards

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