Improving performance of dynamic characterization#57
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TimoDiepers wants to merge 9 commits intobrightway-lca:mainfrom
Open
Improving performance of dynamic characterization#57TimoDiepers wants to merge 9 commits intobrightway-lca:mainfrom
TimoDiepers wants to merge 9 commits intobrightway-lca:mainfrom
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Co-authored-by: TimoDiepers <90762029+TimoDiepers@users.noreply.github.com>
Co-authored-by: TimoDiepers <90762029+TimoDiepers@users.noreply.github.com>
…or-traversal Make graph traversal kwargs flexible for different traversal classes
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The current implementation of the dynamic characterization does not scale very well. The main issue is the repeated creation of pd.Series at several points when characterizing of each row of the inventory df.
Instead of handling pd.Series and DataFrames all the time, I switched it to namedtuple. In an example case, this reduced computing time from ~30s to <1s.
I've also noticed that the test for dynamic characterization seem to be incomplete, but some preparation has been done. I can try do add this, so I'll keep this PR as a draft for now.