Problem description

We only allow timeseries data to be added to the model from CSV. Ideally we would also have the possibility of having e.g. resource: dataframe=df:column for any dataframe df loaded into the current instance of Python.

Steps to introduce functionality

• Decide on syntax for calling a dataframe
  • The most likely is to follow the same as ``...: fil

• Do you want to request a feature or report a bug?
  This issue corresponds to a need for standardization of existing CSV exports in PowSyBl.

• What is the current behavior?
  At the moment, the CSV exports are done with different standards: the separators can be imposed to "," or ";", or taken from the locale set of variables (care must then be taken in the tests to specify the s

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 to allow:

• overwriting
• warning
• raise an error

Working on #377, I noticed that the code in the R tutorials (at least) is not consistently formatted.

Well-formatted code increases readability, which is critical for new users. In contrast, inconsistently-formatted code adds the (avoidable) difficulty of reading the code to the (inevitable) challenge of learning the core concepts of the modeling framework.

Choose a style guide and ensure al

Was reinstalling ixmp on a fresh system and got the following error due to a jdk flavor not being installed:

________________________________________________________________________________________ ERROR at setup of test_scen_list _________________________________________________________________________________________

request = <SubRequest 'test_mp' for <Function test_scen_list>>

Hello!
I would like to save metadata with each file that is created, similarly to pyGRETA.
I have already copied the function create_json in util.py. All that is needed, is a line of code calling that function after each file is created.
I could do it myself, but it is also an easy task for future maintainers :-)