Adding function to overplot specific QC tests on 1D time-series data

[cgodine]

Currently, there is functionality to overplot QC variables by assessment type (#244). However, this plots only by the assessment type. I have added code that will plot specific QC tests by test/bit number. Passing an integer of the test number will overplot that test's flagged data onto the plot:

Passing a list of integers will plot those test numbers:

• Closes Shade time series data where individual qc bits are tripped #908
• Tests added
• Documentation reflects changes
• PEP8 Standards or use of linter
• Xarray Dataset or DataArray variable naming follows 'ds' or 'da' naming

[zssherman]

Thanks @cgodine for the PR! Code looks good to me! Test wise the images aren't matching so might be an issue between the generated and test images, might need to just recreate them and confirm they match

[cgodine]

@zssherman the original test images had the Data Quality Office watermark on them, which is why I assumed tests were failing. I recreated images and they passed local pytest run, so I replaced old ones. It looks like they're still failing so I will need to investigate further.

[AdamTheisen]

I think you need to revisit this part of the code. the variable is plot_color but you're assigning an assessment to it. When I tried to overplot Suspect data, this failed.

[cgodine]

Renamed variable to plot_assessment to better reflect what is being assigned. Also fixed the logic for determining which assessment category the bit is in by using the assessment_overplot_category dict passed in the keyword args. Suspect data should now be plotted as such.

[AdamTheisen]

This should return a color but then that's difference from the Incorrect/Suspect being assigned a couple lines up

[cgodine]

Fixed this with the rename of the variable and improvements to logic.