Deepak Cherian
Deepak Cherian
The current code also has the unfortunate side-effect of merging all chunks too. I think we should instead think of generating a dask array of weights and then using `xr.dot`
> cupy.round is not supposed to be called on anything other than cupy (or numpy.ndarray Yeah I'm not sure what the expectation is but I was calling `cp.round` on a...
> My understanding is that if __array_function__ is working correctly you should never need to call cupy.round on your dataarray. Instead you should always be able to call np.round and...
I like the idea of just passing tuples through and letting the index deal with it. Just like a MultiIndex, there may be other cases where this makes sense. For...
Thanks for writing this up @emilbiju . These are very interesting ideas 1. The nice thing about using NetCDF groups (or HDF5?) is that it is a standard and your...
> But did we decide who might serve as PI for such a proposal? No. @emilbiju are you interested in open-sourcing your work?
I can shoulder part of the load and help is definitely needed. LOI is due on Tuesday. I'll take a stab this evening and post a link.
cc @d-v-b and https://github.com/JaneliaSciComp/xarray-multiscale
@benbovy I tracked this down to ``` python >>> mda.one.to_index() # v2022.06.0 MultiIndex([('a', 0), ('a', 1), ('b', 0), ('b', 1), ('c', 0), ('c', 1)], names=['one', 'two']) # v2022.03.0 Index(['a', 'a',...
Thanks, please reopen if you can construct a reproducible example.