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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
562075354 MDU6SXNzdWU1NjIwNzUzNTQ= 3763 Suggestion: interpolation of non-numerical data scottcanoe 19554926 open 0     5 2020-02-08T20:43:18Z 2020-02-09T22:48:39Z   NONE      

I'd like to suggest an improvement to enable a resampling mechanism for non-numerical data. In my use case, I have time series data, where each timepoint is associated with a measured variable (e.g., fluorescence) as well as a label indicating the stimulus being presented (e.g., "A"). However, if and when I need to upsample my data, the string-valued stimulus information is lost, and its imperative that the stimulus information is still present when working on the resampled data.

My solution to this problem has been to map the labels to integers, use nearest-neighbor interpolation on the integer-valued representation, and finally map the integers back to labels. (I'm willing to bet there's a name for this technique, but I wasn't able to find it by googling around for it.)

I'm new to xarray, but so far as I can tell this functionality is not provided. More specifically, calling DataArray.interp on a string-valued array results in a type error (<builtins.TypeError: interp only works for a numeric type array. Given <U1.>).

Finally, I'd like to applaud you for your work on xarray. I only wish I had found it sooner!

 
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     xarray 13221727 issue

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