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2024-03-15 21:00:05
You could first rework your DataFrame to select the columns of interest, normalize the weights, then create a cumsum. tmp = (df[relevant_col_list] .pipe(lambda x: x.div(x.sum(axis=1), axis=0))...
Tags: python pandas performance

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