generate functionFri, 31 Mar 2023

giving a list "VInd" with complete index data, complete the dataframe "global_dataframe" grouped by the column "Volt" with the mean value of columns "NEVs" and "MWhT" completing the index "Volt" with the information from "VInd" replacing the values NaN with the value of 0

def dataframe_fix(Vind, global_dataframe): global_dataframe_complete= global_dataframe.groupby("Volt").mean() global_dataframe_complete.loc[Vind] = 0 global_dataframe_complete.sort_index(inplace = True) global_dataframe_complete["NEVs"] = global_dataframe_complete["NEVs"].round(0) global_dataframe_complete["MWhT"] = global_dataframe_complete["MWhT"].round(2) return global_dataframe_complete

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