I tried to do the Monte Carlo analysis with the Agribalyse3.1 database, based on this notebook:
https://github.com/brightway-lca/brightway2/blob/master/notebooks/Monte%20Carlo%20from%20Excel%20import.ipynb
mc = bw.MonteCarloLCA({activity:1}, ('IPCC 2013', 'climate change', 'GWP 100a'))
scores = [next(mc) for _ in range(10)]
The second line fails with the error: "Real, positive scale (sigma) values are required for lognormal uncertainties."
The same happens in the acitivity browser. It works when using the Ecoinvent database.
I appreciate your help on how to fix it. Thanks a lot! Here are some more information:
My Agribalyse-Version:
https://sustaincertcom-my.sharepoint.com/:x:/g/personal/gustave_coste_sustain-cert_com/ESwnbkR0VpRGrozFdZersVsBePolrNLmnVuCTeJbObSU4g?e=cTFO7Z&download=1
I took this from here:
https://github.com/sc-gcoste/brightway-agribalyse3.1
My brightway versions:
brightway2==2.4.2
bw-migrations==0.2
bw2analyzer==0.10
bw2data==1.8.1
bw2data==3.6.5
bw2io==0.8.8
bw2parameters==0.7
I tried to do the Monte Carlo analysis with the Agribalyse3.1 database, based on this notebook:
https://github.com/brightway-lca/brightway2/blob/master/notebooks/Monte%20Carlo%20from%20Excel%20import.ipynb
The second line fails with the error: "Real, positive scale (sigma) values are required for lognormal uncertainties."
The same happens in the acitivity browser. It works when using the Ecoinvent database.
I appreciate your help on how to fix it. Thanks a lot! Here are some more information:
My Agribalyse-Version:
https://sustaincertcom-my.sharepoint.com/:x:/g/personal/gustave_coste_sustain-cert_com/ESwnbkR0VpRGrozFdZersVsBePolrNLmnVuCTeJbObSU4g?e=cTFO7Z&download=1
I took this from here:
https://github.com/sc-gcoste/brightway-agribalyse3.1
My brightway versions:
brightway2==2.4.2
bw-migrations==0.2
bw2analyzer==0.10
bw2data==1.8.1
bw2data==3.6.5
bw2io==0.8.8
bw2parameters==0.7