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dcherian
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I like @fujiisoup's weighted mean demo in this stack overflow example:
https://stackoverflow.com/questions/48510784/xarray-rolling-mean-with-weights

I thought it'd be a useful addition to the docs on rolling.

@@ -185,6 +185,12 @@ windowed rolling, convolution, short-time FFT, etc.

Because the ``DataArray`` given by ``r.construct('window_dim')`` is a view
of the original array, it is memory efficient.
One can also use ``construct`` to compute a weighted mean:
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weighted rolling
And nit: we've used You or We throughout - let's not add another voice

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Ah, I missed that

@@ -185,7 +185,7 @@ windowed rolling, convolution, short-time FFT etc.

Because the ``DataArray`` given by ``r.construct('window_dim')`` is a view
of the original array, it is memory efficient.
One can also use ``construct`` to compute a weighted mean:
You can also use ``construct`` to compute a weighted mean:
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I do think this should explicitly say weighted rolling mean, may have got lost from #2012 (comment)

@max-sixty max-sixty merged commit 7c2c43c into pydata:master Mar 23, 2018
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Thanks a lot @dcherian !
And @fujiisoup for the feature and SO post!

@dcherian dcherian deleted the docs/rolling branch March 23, 2018 22:55
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3 participants