Add NetworkDutyBarPlot class

[iaraota]

This PR introduces the NetworkDutyBarPlot class, designed to generate a bar plot showcasing the duty factor across all combinations of detectors, ranging from individual detectors to a combination of N detectors. Additionally, it enhances the segment information table by incorporating details regarding these combinations.

To illustrate, consider three detectors: H1, L1, and V1. Prior to this pull request, the segment information table in a page with NetworkDutyPiePlot class included rows for H1L1V1:single, H1L1V1:double, and H1L1V1:triple. With this update, it incorporates new entries such as H1L1:double, H1V1:double, and L1V1:double. This enhancement remains scalable for any number of detectors; for instance, with four detectors, the table will encompass all possible combinations of two and three detectors.

[iaraota]

Here is an example with this new class. The new plot is in the second-last row.

[codecov]

Codecov Report

Attention: 56 lines in your changes are missing coverage. Please review.

Comparison is base (02cb6f2) 49.96% compared to head (df8f945) 49.68%.
Report is 3 commits behind head on master.

❗ Current head df8f945 differs from pull request most recent head 3201f23. Consider uploading reports for the commit 3201f23 to get more accurate results

Files	Patch %	Lines
gwsumm/plot/segments.py	16.42%	56 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #389      +/-   ##
==========================================
- Coverage   49.96%   49.68%   -0.28%     
==========================================
  Files          60       60              
  Lines        8729     8804      +75     
==========================================
+ Hits         4361     4374      +13     
- Misses       4368     4430      +62     

Flag	Coverage Δ
Linux	49.68% <16.42%> (-0.28%)	⬇️
python3.10	49.68% <16.42%> (-0.28%)	⬇️
python3.11	49.68% <16.42%> (-0.28%)	⬇️
python3.9	49.68% <16.42%> (-0.28%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[iaraota]

@eagoetz here are the O4a.3 and "O4a.4" with the modifications implemented in #392. You can see that the percentages of H1L1:double and H1L1V1:double are consistent.

I did not need to add the new ignore_undefined=True option to get_segments(), as this class does not compute the "No segments" percentage.

[iaraota]

@iaraota check why X1:DMT-ANALYSIS_READY:1 are showing 100%.

[iaraota]

@eagoetz here are the updated versions with the fixed percentages in the segments:

O4a: https://ldas-jobs.ligo.caltech.edu/~iara.ota/summary/gps/1368975618-1389456018/segments/
O4a.3: https://ldas-jobs.ligo.caltech.edu/~iara.ota/summary/gps/1384873218-1389456018/segments/

[iaraota]

@eagoetz any concerns I missed in this PR?

[eagoetz]

Thanks for your updates! LGTM

[eagoetz]

@iaraota Oops, I missed that you should add the new class to gwsumm/plot/__init__.py

[iaraota]

@eagoetz thank you for noticing! I updated it.

[eagoetz]

LGTM