Many notebooks

[Rlamboll]

Pull request

Please confirm that this pull request has done the following:

• Tests added
• Documentation added (where applicable)
• Example added (either to an existing notebook or as a new notebook, where applicable)
• Description in CHANGELOG.rst added

Adding to CHANGELOG.rst

Please add a single line in the changelog notes similar to one of the following:

- (`#XX <https://github.com/znicholls/silicone/pull/XX>`_) Added feature which does something
- (`#XX <https://github.com/znicholls/silicone/pull/XX>`_) Fixed bug identified in (`#YY <https://github.com/znicholls/silicone/issues/YY>`_)

[codecov]

Codecov Report

Merging #51 into master will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master      #51   +/-   ##
=======================================
  Coverage   98.21%   98.22%           
=======================================
  Files          18       18           
  Lines         785      789    +4     
  Branches      165      166    +1     
=======================================
+ Hits          771      775    +4     
  Misses          8        8           
  Partials        6        6           

Impacted Files	Coverage Δ
src/silicone/utils.py	100.00% <100.00%> (ø)

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[Rlamboll]

This is mostly just splitting up the notebooks, I have reworded and expanded the section on the rolling windows quantile cruncher though, with a significant new final section. There are also minor changes to the way we get data from IIASA in order to streamline the notebooks and to allow for an update.

[jkikstra]

Thanks for splitting these up.

I found two more things in notebook 05.

• For "DecomposeCollectionTimeDepRatio" I do not get what the output is supposed to explain to me; both unit_consistant_db.variables(True) and results.variables() give the basically the same output. Could you clarify?
• Under "calculate aggregate values" could you just add that 'using AR5 conversion factors' is done by setting the boolean use_AR4_data=False?

[Rlamboll]

Thanks @jkikstra, however I will need to merge #49 first. Maybe you can review the non-notebook parts of that too since @znicholls has a large to-do list.

[jkikstra]

I don't think I'll be able to do that this week still unfortunately.

[znicholls]

this should be gtg once #49 is done (hopefully also not far off)