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  • shoyer · 3 ✖

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  • ENH: Forward & back fill methods · 3 ✖

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338860711 https://github.com/pydata/xarray/issues/1651#issuecomment-338860711 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDMzODg2MDcxMQ== shoyer 1217238 2017-10-24T03:18:37Z 2017-10-24T03:18:37Z MEMBER

Other numpy functions, e.g., flip check for some attributes and then assume duck type compatibility if found. For example, flip is turned into an indexing call.

 
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   ENH: Forward & back fill methods 267826297
338860305 https://github.com/pydata/xarray/issues/1651#issuecomment-338860305 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDMzODg2MDMwNQ== shoyer 1217238 2017-10-24T03:16:00Z 2017-10-24T03:16:00Z MEMBER

Right, but numpy functions return the original type?

Not quite -- many numpy functions check for a method of the same name on their argument and call it instead of the numpy routine. If you look at the source of np.sum, it first checks for a sum method on its argument and calls that method instead if found. Otherwise, it coerces the argument to a numpy array and calls the numpy method.

 
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   ENH: Forward & back fill methods 267826297
338822929 https://github.com/pydata/xarray/issues/1651#issuecomment-338822929 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDMzODgyMjkyOQ== shoyer 1217238 2017-10-23T23:11:03Z 2017-10-23T23:11:03Z MEMBER

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?

Can you explain? I don't think bottleneck is xarray aware, so I'm not surprised by this. NumPy doesn't have a generic interface for external functions (only ufuncs).

 
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   ENH: Forward & back fill methods 267826297

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