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https://github.com/pydata/xarray/issues/2799#issuecomment-469443856 https://api.github.com/repos/pydata/xarray/issues/2799 469443856 MDEyOklzc3VlQ29tbWVudDQ2OTQ0Mzg1Ng== 1386642 2019-03-04T22:15:49Z 2019-03-04T22:15:49Z CONTRIBUTOR

Thanks so much @shoyer. I didn't realize there was that much overhead for a single function call. OTOH, 2x slower than numpy would be way better than 1000x.

After looking at the profiling info more, I tend to agree with your 10x maximum speed-up. A couple of particularly slow functions (e.g. Dataset._validate_indexers) account for about 75% of run time. However, the remaining 25% is split across several other pure python routines.

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