issue_comments: 410777201

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https://github.com/pydata/xarray/issues/2304#issuecomment-410777201 https://api.github.com/repos/pydata/xarray/issues/2304 410777201 MDEyOklzc3VlQ29tbWVudDQxMDc3NzIwMQ== 1217238 2018-08-06T17:00:01Z 2018-08-06T17:00:01Z MEMBER

But since it's a downstream calculation issue, and does not impact the actual precision of what's being read from the file, what's wrong with saying "Use data.astype(np.float64)". It's completely identical to doing it internally to xarray.

It's almost but not quite identical. The difference is that the data gets scaled twice. This adds twice the overhead for scaling the values (which to be fair is usually negligible compared to IO).

Also, to get exactly equivalent numerics for further computation you would need to round again, e.g., data.astype(np.float64).round(np.ceil(-np.log10(data.encoding['scale_factor']))). This starts to get a little messy :).

 
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