Matthew Gidden

`map_regions()` to `downscale_regions()`

2

With `aggregate_regions()` doing the work to upscale (many-to-one) regional data, `map_regions()` should be deprecated and a new `downscale_regions()` should be added. The function signature should look something like: ``` def...

extend append() for updating existing data

1

We observed recently that there are situations where we want `append()` to overwrite existing data. At the moment, an error is raised if data is recalculated. It should be extended...

If you install first from source and then from pip, the pip version will overtake the source version (even if source is more up-to-date than pip). Solution: conform to ixmp...

fill_between in line_plot still sees spike behavior

1

df here is queried of all iamc15 data as so ``` df = pyam.read_iiasa_iamc15( model='*', scenario='*', variable=['Emissions|CO2', 'Primary Energy|Coal', 'AR5 climate diagnostics|Temperature|Global Mean|MAGICC6|MED'], region='World' ) ``` 

This is ugly and at the time of writing #43, I knew no better way to do this. Some discussion on the topic can be found [here](https://stackoverflow.com/questions/67631/how-to-import-a-module-given-the-full-path).

this allows users to pre-categorize all data for many different workflows

we want datasets for tutorials/examples and also region mappings, etc. there are a number of patterns out there to choose from, but I'm not sure if anything exists out of...

POLES Fossil CCS may be in the wrong units

1

We noticed the following data for POLES ``` global_df.filter(variable='Carbon Sequestration|CCS|Fossil', model='POLES*').data ```  systematically reports significantly lower values for this variable than other SR15 scenarios....

attempt a nightly workflow only on approved PRs

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**Required:** write a single sentence that describes the changes made by this PR. Copies nightly workflow, changes to evoke on `pull_request_review`, and checks that review state is `approved`. Related to...