👌 Improve SVD plotting

[s-weigand]

This PR fixes #50 and also adds arguments to specify the number of residual vectors to plot.

As an additional bonus plot_lsv_data and plot_rsv_data are now agnostic towards the x dimensions name, since the x dimension selection works by using not sv_index_dim.

Before:

After:

Change number of SVD vectors

Deactivate legend:

Change summary

• 👌 Changed SDV vector plotting to use reversed zorder
• 👌Added nr of SVD vector arguments to plot_data_overview and plot_overview
• 🩹👌 Added back legend to SVD plots and added options to deactivate them

Checklist

• ✔️ Passing the tests (mandatory for all PR's)
• 👌 Closes issue (mandatory for ✨ feature and 🩹 bug fix PR's)

Closes issues

closes #50

[github-actions]

👈 Launch a binder notebook on branch s-weigand/pyglotaran-extras/improve-SVD-plotting

[codecov]

Codecov Report

Merging #64 (d4fc16e) into main (432b32f) will decrease coverage by 0.56%.
The diff coverage is 4.54%.

@@            Coverage Diff             @@
##             main      #64      +/-   ##
==========================================
- Coverage   41.42%   40.85%   -0.57%     
==========================================
  Files          22       22              
  Lines         618      629      +11     
  Branches       87       90       +3     
==========================================
+ Hits          256      257       +1     
- Misses        362      372      +10     

Impacted Files	Coverage Δ
pyglotaran_extras/plotting/plot_data.py	40.00% <0.00%> (ø)
pyglotaran_extras/plotting/plot_overview.py	28.57% <0.00%> (ø)
pyglotaran_extras/plotting/plot_svd.py	19.40% <5.26%> (-2.03%)	⬇️

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[s-weigand]

@jsnel Thanks for spotting that I messed up the default number of data SVD vectors in plot_overview (fixed in d4fc16e)

[s-weigand]

As a reference about matplotlib zorder in case we need it again ^^

[jsnel]

Looks good now 😊