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IAMconsortium / pyam

Analysis & visualization of energy & climate scenarios
https://pyam-iamc.readthedocs.io/
Apache License 2.0
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Level filtering does not work #595

Closed stefaneidelloth closed 2 years ago

stefaneidelloth commented 2 years ago

image

import pyam import pandas as pd

df = pyam.IamDataFrame(pd.DataFrame([ ['IMG', 'a_scen', 'World', 'Emissions|CO2|Energy|Oil', 'Mt CO2/yr', 2, 3.2, 2.0, 1.8], ['IMG', 'a_scen', 'World', 'Emissions|CO2|Energy|Gas', 'Mt CO2/yr', 1.3, 1.6, 1.0, 0.7], ['IMG', 'a_scen', 'World', 'Emissions|CO2|Energy|BECCS', 'Mt CO2/yr', 0.0, 0.4, -0.4, 0.3], ['IMG', 'a_scen', 'World', 'Emissions|CO2|Cars', 'Mt CO2/yr', 1.6, 3.8, 3.0, 2.5], ['IMG', 'a_scen', 'World', 'Emissions|CO2|Tar', 'Mt CO2/yr', 0.3, 0.35, 0.35, 0.33], ['IMG', 'a_scen', 'World', 'Emissions|CO2|Agg', 'Mt CO2/yr', 0.5, -0.1, -0.5, -0.7], ['IMG', 'a_scen', 'World', 'Emissions|CO2|LUC', 'Mt CO2/yr', -0.3, -0.6, -1.2, -1.0] ], columns=['model', 'scenario', 'region', 'variable', 'unit', 2005, 2010, 2015, 2020], )) df.timeseries()

df.filter(level=1).timeseries()

stefaneidelloth commented 2 years ago

Never mind. Need to use "-" or "+" in filter expression if I do not want to filtering for an explicit level only.