CODEWITHSUNDEEP
pythontime-seriespython-xarray
Conic
Conic

Reputation: 1198

Time series composite of python-xarray.

I have a python x-array dataset with dimensions x,y,t and at least two variables at each coordinate. I was wondering if there exists any x-array method that can help "project" or "composite" values on an axis of my choice.

The figure I drafted up below is an example of what I mean by compositing on a time axis. In the figure, only most recent finite values are considered in the final product. If no finite value is found in a specified interval, then the composite value is nan. This is similar to stacking raster layers in photoshop or gimp.

Time Series Composite, most recent value first

What I've learned in my recent x-array explorations is that more than often the solution to x-array problems involves avoiding manual dissection of x-array data-structures(however tempting it may be).

I was wondering if python x-array had a built in way of handling problems like compositing? Any tips on how I should go about approaching this problem? I'm primarily looking for either more knowledge about x-arrays or a solution to the compositing problem.

Upvotes: 1

Views: 553

Answers (1)

shoyer
shoyer

Reputation: 9593

Unfortunately, we don't yet have this functionality built-in to xarray yet (contributions would be welcome!). See https://github.com/pydata/xarray/issues/835 for the issue tracker. Eventually, this will probably go under the name of combine_first.

Upvotes: 1

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