Comments (1)
Hi @armgong
A pandas.Series
should work for you, note that this will create a new function which is an interpolation on time
, check getting started documentation. If the parameter of the with_lookup
is not time but other. You may need to define the full equation as explained in advanced usage. For your specific case the following should work:
import pandas as pd
[...]
new_value = pd.Series(
index=[
2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014,
2015, 2016, 2017, 2018, 2019, 2020, 2030, 2040, 2050, 2060
],
data=[
0.172123, 0.218153, 0.174174, 0.10098, 0.185435, 0.172495, 0.0977151, 0.102771, 0.0864027, 0.0833625,
0.0877142, 0.105645, 0.0985939, 0.0692841, 0.0354072, 0.06, 0.045, 0.033, 0.029, 0.027
]
)
model.set_components({'GDP_Grow_RATE': new_value})
model.run()
In any case, I would try to improve the documentation of set_components
.
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