issues: 267826297

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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
267826297 MDU6SXNzdWUyNjc4MjYyOTc= 1651 ENH: Forward & back fill methods 5635139 closed 0     7 2017-10-23T21:39:18Z 2018-02-09T17:36:30Z 2018-02-09T17:36:29Z MEMBER      

I think with np.flip and bn.push, this should be simple. They're both fairly new and so would require version checks / upgrading the minimums.

One small issue, I wonder if anyone has come across this: bottleneck returns the numpy array rather than the DataArray - is that because it's not operating with the correct numpy interface?

Forward fill: array.values = bn.push(array.values, axis=array.get_axis_num(axis_name))

Backfill: ``` axis = array.get_axis_num(axis_name)

reverse for bfill

array = np.flip(array, axis=axis)

fill

array.values = bn.push(array.values, axis=axis)

reverse back to original

result = np.flip(scaling, axis=date_axis) ```

 
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