issue_comments: 116406425

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https://github.com/pydata/xarray/issues/448#issuecomment-116406425 https://api.github.com/repos/pydata/xarray/issues/448 116406425 MDEyOklzc3VlQ29tbWVudDExNjQwNjQyNQ== 1217238 2015-06-29T03:13:33Z 2015-06-29T03:13:33Z MEMBER

Unfortunately, there's no way to make np.asarray return anything other than a numpy array without metadata -- that's kind of the entire point of asarray.

We do have some other options, though. The first two already work: - use xray.Dataset.apply to call a function, e.g., ds.apply(db2w) - write a numpy universal function using numba:

python @numba.vectorize def db2w(arr): return 10 ** (arr / 20.0) - we could write a modified version of asarray that passes through xray objects - we could write a decorator that transforms a function to preserve/restore xray metadata, e.g.,

``` python def keep_metadata(func): def wrapper(array, **kwargs): return array.array_wrap(func(array)) return wrapper

@keep_metadata def db2w(arr): return 10 ** (np.asarray(arr) / 20.0) ```

 
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