Question

def load_from_file():
    d = {}  # create empty dict 
    file = open("players.txt", "r")# open file for reading
    line = file.readline()
    file.close()# we’re done with the file
    list = line.split(",")
    prop = {"position":"","number":"","name":"","birth":"","id":""}
    keys = (sorted(prop))
    num = 0
    for key in keys:
        d[key] = list[num]
        num += 1
    return d

问题是每当循环返回到此函数时，它会读取同一行！我希望偏移量下降一个新行

Answer 1

问题在于，每次在file.readline()语句中调用函数时，您都告诉程序只读取文件的第一行。您应该立即将所有文件读入列表，然后遍历已读入列表的行。

示例：

def load_from_file():
    with open("players.txt", "r") as myfile # open file for reading
       myfile = file.readlines()
    return myfile

def create_dictionary(line):
    d = {}
    list = line.split(",")
    prop = {"position":"","number":"","name":"","birth":"","id":""}
    keys = (sorted(prop))
    num = 0
    for key in keys:
       d[key] = list[num]
       num += 1
    return d

data = []
filedata = load_from_file()
for line in filedata:
    data.append(create_dictionary(line))

P.S。不确定你要对数据做什么，但这应该有助于你获得要点。

Answer 2

使用DictReader模块中的csv：

def load_from_file():
    with open("players.txt") as players:
        fields = ["birth", "id", "name", "number", "position"]
        reader = csv.DictReader(players, fields)
        return list(reader)

如何在线长度不同的情况下制作偏移下降线？

2 个答案: