generate functionSat, 01 Apr 2023

dataframe "global_dataframe". "Inds"=[0,2,15,166,1587,1658,1789] "Iterations" =[0,1,2,3,4] For each "Ite" in "Iterations" - Get subdataframe with the values of "global_dataframes" in the indexes "Inds" - Add a column called "Iteration" to the subdataframe "SDF" for all 7 indexes of "SDF". - Move the column "Iteration" to the first column place - print the value of "SDF" to a csv file called "SubDF" + "Ite" + ".csv".

# Create a list of indexes Inds = [0, 2, 15, 166, 1587, 1658, 1789] #Create a list of iterations Iterations = [0, 1, 2, 3, 4] #Create a function def create_file(global_dataframe, Inds, Iterations): for Ite in Iterations: #Get the subdataframe with the values of global_dataframe in the indexes Inds SDF = global_dataframe.iloc[Inds] #Add a column called "Iteration" to the subdataframe SDF for all 7 indexes of "SDF". SDF.loc[:,"Iteration"] = Ite #Move the column "Iteration" to the first column place SDF = SDF[["Iteration"] + [ col for col in SDF.columns if col != "Iteration"]] #print the value of "SDF" to a csv file called "SubDF" + "Ite" + ".csv". SDF.to_csv("Sub

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