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I wonder why following lines do not work when using pyam:
df = pyam.read_iiasa('eu-climate-advisory-board',region='World')
df = pyam.read_iiasa('eu-climate-advisory-board',variable=‘Emissions|CO2’)
I get following information:
InvalidIndexError: Reindexing only valid with uniquely valued Index objects
However, following lines work:
df = pyam.read_iiasa('eu-climate-advisory-board',model='TIAM-ECN 1.1')
df = pyam.read_iiasa('iamc15',region='World')
df = pyam.read_iiasa('iamc15',variable=‘Emissions|CO2’)
If this cannot be solved, is there another way to do a cross-comparison for one region?
I am unsure whether this is a PYAM issue or an issue with the EU climate advisory board set.
Kind regards,
Wouter
The text was updated successfully, but these errors were encountered:
danielhuppmann
changed the title
pyam.read_iiasa InvalidIndexError
Error reading EU-CAB database data using pyam
Mar 1, 2023
Indeed, something seems to have gone wrong when uploading the meta indicators to the public instance of the EU Climate Advisory Board Scenario Explorer database. I'll investigate...
In the meantime, you can omit the meta indicators in the data query using
Dear,
I wonder why following lines do not work when using pyam:
df = pyam.read_iiasa('eu-climate-advisory-board',region='World')
df = pyam.read_iiasa('eu-climate-advisory-board',variable=‘Emissions|CO2’)
I get following information:
InvalidIndexError: Reindexing only valid with uniquely valued Index objects
However, following lines work:
df = pyam.read_iiasa('eu-climate-advisory-board',model='TIAM-ECN 1.1')
df = pyam.read_iiasa('iamc15',region='World')
df = pyam.read_iiasa('iamc15',variable=‘Emissions|CO2’)
If this cannot be solved, is there another way to do a cross-comparison for one region?
I am unsure whether this is a PYAM issue or an issue with the EU climate advisory board set.
Kind regards,
Wouter
The text was updated successfully, but these errors were encountered: