view_portfolios.py

import pandas as pd

if __name__ == '__main__':
    input_file = './lowest_risk.csv'
    portfolios = pd.read_csv(input_file)

    for index, row in portfolios.iterrows():
        print(f"Processing portfolio {index + 1}")
        print(f"\tExpected Return: {row['return']*100:.2f}%")
        print(f"\t\"Risk\": {row['risk']:.2f}")
        print(f"\tSelected tickers/weigts:")
        weight_dict = {}
        for name, data in row.iteritems():
            if data > 0 and name != 'return' and name != 'risk':
                weight_dict[(name.split(' ')[0])] = data
                #print(f"\t\tTicker: {name.split(' ')[0]}\tWeight: {data*100:.2f}%")
        weight_dict = sorted(weight_dict.items(), key=lambda x: x[1], reverse=True)
        for tuple in weight_dict:
            print(f"\t\tTicker: {tuple[0]}\tWeight: {tuple[1]*100:.2f}%")