import re # Constantes para indexar os tuplos: NAME, DATE, OPEN, MAX, MIN, CLOSE, VOLUME = 0, 1, 2, 3, 4, 5, 6 def main(): lst = loadStockFile("datafiles/nasdaq.csv") # Show just first and last tuples: print("first:", lst[1]) print("last:", lst[-1]) print("a) totVol=", totalVolume(lst)) print("b) maxVal=", maxValorization(lst)) stocksDic = stocksByDateByName(lst) print("c) CSCO@11:", stocksDic['2020-10-12']['CSCO']) print("c) AMZN@22:", stocksDic['2020-10-22']['AMZN']) # Parte incompleta port = {'NFLX': 100, 'CSCO': 80} print("d) portfolio@01:", portfolioValue(stocksDic, port, "2020-10-01")) print("d) portfolio@30:", portfolioValue(stocksDic, port, "2020-10-30")) def loadStockFile(filename): lst = [] with open(filename) as f: for line in f: parts = line.strip().split('\t') name = parts[NAME] date = parts[DATE] tup = (name, date, float(parts[OPEN]), float(parts[MAX]), float(parts[MIN]), float(parts[CLOSE]), int(parts[VOLUME])) lst.append(tup) return lst def totalVolume(lst): totVol = {} # Complete ... for tup in totVol: if tup[NAME] not in totVol: totVol[tup[NAME]] = tup[VOLUME] else: totVol[tup[NAME]] += tup[VOLUME] return totVol def maxValorization(lst): vMax = {} # Complete ... for data in range(1, 31): maxDiario = 0 maxDiarioComp = "No data" for tup in lst: pat = r"0[1-9]" dia = tup[DATE].split('-')[2] if re.match(pat, dia): dia = dia[1] if data == int(dia): maxcomp = tup[OPEN]/tup[CLOSE] * 100 if maxcomp > maxDiario: maxDiario = maxcomp maxDiarioComp = tup[NAME] if maxDiarioComp != "No data": vMax[data] = (maxDiarioComp, f"{maxDiario:.1f}%") return vMax def stocksByDateByName(lst): dic = {} # Complete ... for tup in lst: if tup[DATE] not in dic: dic[tup[DATE]] = {} dic[tup[DATE]][tup[NAME]] = tup return dic def portfolioValue(stocks, portfolio, date): assert date in stocks val = 0.0 # Complete ... for comp in portfolio: val += portfolio[comp] * stocks[date][comp][CLOSE] return val if __name__ == "__main__": main()