Vacuum mask eels

[ericpre]

Similarly to the way it can be currently done with EDSSpectrum, this PR add a vacuum_mask method to the EELSSpectrum signal.

Progress of the PR

• Add vacuum_mask method to EELSSpectrum,
• make the usage of mask more consistent across different method by accepting signal of bool or array of bool,
• fix bug with navigation_mask in the quantification method of EDS signal, which was ignored.
• update docstring (if appropriate),
• add tests,
• ready for review.

Minimal example of the bug fix or the new feature

ll = hs.datasets.artificial_data.get_low_loss_eels_line_scan_signal()*100
ll.inav[:4] *= 0
ll.vacuum_mask().plot()

[dnjohnstone]

Seems to work for me insofar as I understand it should from the tests provided.

It seems to me that for consistency there should be a super().decomposition() for EELSSpectrum in the same way that there is for EDSTEMSpectrum with a flag to use this method to determine a vacuum mask for decomposition as default.

Other than this, and minor typos - looks good to me

[dnjohnstone]

@ericpre can you deal with the very minor comments I had so that this can be merged?

[tjof2]

Aside from the comments from @dnjohnstone , there's a couple of merge conflicts.

[tjof2]

Requires the merge conflicts to be resolved plus a few of the above comments

[codecov]

Codecov Report

Merging #2183 into RELEASE_next_minor will increase coverage by 0.03%.
The diff coverage is 79.16%.

@@                  Coverage Diff                   @@
##           RELEASE_next_minor    #2183      +/-   ##
======================================================
+ Coverage               75.85%   75.88%   +0.03%     
======================================================
  Files                     202      202              
  Lines                   29623    29650      +27     
  Branches                 6446     6454       +8     
======================================================
+ Hits                    22470    22501      +31     
+ Misses                   5336     5330       -6     
- Partials                 1817     1819       +2     

Impacted Files	Coverage Δ
hyperspy/learn/mva.py	79.86% <25.00%> (-0.22%)	⬇️
hyperspy/signal.py	75.32% <50.00%> (-0.10%)	⬇️
hyperspy/misc/eds/utils.py	86.66% <80.00%> (+1.53%)	⬆️
hyperspy/_signals/eels.py	76.02% <90.90%> (+0.54%)	⬆️
hyperspy/_signals/eds_tem.py	81.00% <100.00%> (+1.28%)	⬆️
hyperspy/_signals/signal1d.py	76.14% <100.00%> (+0.74%)	⬆️

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[tjof2]

Is that everything now @ericpre?

[ericpre]

Yes, this is good now. Increasing coverage made me find a bug with the navigation mask of the quantification method!