Thin or bin data set along navigation axes (fewer patterns but same ROI) about kikuchipy HOT 3 CLOSED

This could either be done by averaging or dropping patterns from the data (as an input parameter to the user).

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So HyperSpy's rebin functionality does this for both signal and navigation axes, but it e.g. casts results to uint64 and does not overwrite original data using dask.array.store(). It would be ideal to be able to bin either signal or navigation axes with the rebin() method without casting to uint64 and overwrite results using dask.array.store(), directly using dask arrays. This might need dask.array.map_overlap() when wanting to average patterns for binning navigation axes.

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Using HyperSpy's rebin() method, although casting to uint64 and not operating using dask.array.store(), is powerful and general, so for now our own rebin() method uses HyperSpy's.

Using s.inav[::2, ::2] works nicely. This will be included in the documentation where navigation and signal axes manipulation is explained.

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