issue_comments: 431717076

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https://github.com/pydata/xarray/issues/2499#issuecomment-431717076 https://api.github.com/repos/pydata/xarray/issues/2499 431717076 MDEyOklzc3VlQ29tbWVudDQzMTcxNzA3Ng== 1217238 2018-10-22T00:25:37Z 2018-10-22T00:25:37Z MEMBER

I think the problem is actually this line: da_precip.groupby('point').apply(spi_gamma

The problem is that spi_gamma accesses/sets data_array.values, which mean it's loading data into NumPy arrays. You need to work entirely with .data / dask arrays in order for dask to provide useful speedups. I don't know what indices.spi is doing, but you can probably parallelize it either with dask.array.map_blocks or xarray's apply_ufunc.

 
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