def read_prices(filename):
with open(filename, "rt") as f:
prices = parse_csv(f,
types=[str, float],
has_headers=False,
silence_errors=True)
return dict(prices)
def read_portfolio(filename):
'''Computes the total cost (shares*price) of a portfolio file'''
with open(filename, 'rt') as file:
portdict = parse_csv(file,
select=['name', 'shares', 'price'],
types=[str, int, float])
portfolio = [Stock(d['name'], d['shares'], d['price']) for d in portdict]
return portfolio
def main():
s = Stock("bla", 100, 9.9)
print(s)
with open("Data/portfolio.csv", "rt") as lines:
from Work.fileparse import parse_csv
portdicts = parse_csv(lines,
select=['name', 'shares', 'price'],
types=[str, int, float])
portfolio = [
Stock(p["name"], p["shares"], p["price"]) for p in portdicts
]
print(sum([s.cost for s in portfolio]))
def read_prices(filename):
with open(filename, 'rt') as file:
prices = dict(parse_csv(file, types=[str, float], has_headers=False))
return prices
def read_portfolio(filename):
with open(filename, "rt") as f:
dicts = parse_csv(f, types=[str, int, float])
return [Stock(**p) for p in dicts]
def portfolio_cost(filename):
with open(filename, "rt") as f:
return parse_csv(f,
select=["shares", "price"],
types=[int, float],
silence_errors=True)