Python 3.x 构建Python 3的目录

我正在阅读一个csv文件，我必须建立一个列表的目录，其中的键是股票代码，值是该代码的收盘价列表。我很难按照每只股票的最高和最低价格来分类

预期输出为：

>GOOG:  180.38 difference (672.93-492.55)
>LNKD:  100.82 difference (270.76-169.94)
>AAPL:  36.74 difference (133.0-96.26)
>FB:  25.76 difference (98.39-72.63)
>MSFT:  9.32 difference (49.61-40.29)

我的示例csv表文件：

>Ticker  Date       Open       High     Low     Close     Volume
>GOOG    25-Sep-15  629.77    629.77    611     611.97    2174009
>GOOG    24-Sep-15  616.64    627.32    612.4   625.8     2240098

我的代码没有产生预期的行为。我正在努力循环dict中的键，并按max-min值对它们进行排序：

file_data = open('../python_data/stock_prices.csv').readlines()[1:]
stock_dict = {}

def price_diff(key):
    change_price = max(stock_dict[key]) - min(stock_dict[key])
    return (change_price)


for line in file_data:
    line = line.split(',')
    ticker = line[0]
    if ticker not in stock_dict:
        stock_dict[ticker] = []
    stock_dict[ticker].append(float(line[5]))

sorted_keys = sorted(stock_dict, key=price_diff, reverse=True)
#print(sorted_keys)

for key in stock_dict:
    print(key, round(max(stock_dict[key]) - min(stock_dict[key]),2))

---

谢谢@zyzue的反馈。经过大量研究，我得出了这个结论，并得到了预期的输出

file_data = open('../python_data/stock_prices.csv').readlines()[1:]
stock_dict = {}

def price_diff(key):
    change_price = max(stock_dict[key]) - min(stock_dict[key])
    return (change_price)

for line in file_data:
    line = line.split(',')
    ticker = line[0]
    if ticker not in stock_dict:
        stock_dict[ticker] = []
    stock_dict[ticker].append(float(line[5]))

sorted_keys = sorted(stock_dict, key=price_diff, reverse=True)
for key in sorted_keys:
    min_val = min(stock_dict[key])
    max_val = max(stock_dict[key])
    change_val = round(max(stock_dict[key]) - min(stock_dict[key]),2)
    print("{}: {} difference ({} - {})".format (key, change_val, max_val, min_val))

---

你认识熊猫吗？你应该考虑使用熊猫，而不是解析CSV自己，除非你把它作为演习Zy雪，谢谢快速响应。我这样做是为了练习。你不应该对字典进行排序，而不是

排序（stock\u dict）

，尝试

排序（stock\u dict.items（））

file_data = open('../python_data/stock_prices.csv').readlines()[1:]
stock_dict = {}

def price_diff(key):
    change_price = max(stock_dict[key]) - min(stock_dict[key])
    return (change_price)

for line in file_data:
    line = line.split(',')
    ticker = line[0]
    if ticker not in stock_dict:
        stock_dict[ticker] = []
    stock_dict[ticker].append(float(line[5]))

sorted_keys = sorted(stock_dict, key=price_diff, reverse=True)
for key in sorted_keys:
    min_val = min(stock_dict[key])
    max_val = max(stock_dict[key])
    change_val = round(max(stock_dict[key]) - min(stock_dict[key]),2)
    print("{}: {} difference ({} - {})".format (key, change_val, max_val, min_val))