Portfolio Optimization Case Study$\%0$D$\%0$A$\%0$D$\%0$ATo generate the portfolio scenarios in the case study, our first step was to create four numpy arrays that would store the output. We created these arrays using the np$.$zeros$()$ function. Why did we create arrays filled with zeros?$\%0$D$\%0$A$\%0$D$\%0$ATo replace the output from previous scenarios$\%0$D$\%0$A$\%0$D$\%0$ATo select the correct columns from a pandas DataFrame$\%0$D$\%0$A$\%0$D$\%0$ATo fill in null values$\%0$D$\%0$A$\%0$D$\%0$ATo define the correct shape of the arrays