Question

请原谅我的无知，但我很难让Python做我想做的事情。所以基本上，我有一个包含国家橄榄球联盟（NFL）数据的CSV文件，其中包括四行，即位置，玩家名称，薪水和平均幻想点数（AFPG）。因此，例如在CSV文件中它的样子将是Position（RB），PlayerName（Le＆＃39; Veon Bell）Salary（9800）AvgFantasyPoints（28.6）。我想做的是选择平均至少14 AFPG且低于7000薪水的PlayersName。这是我到目前为止的代码。感谢任何帮助。

import csv

out=open("NFL.csv", "rb")
reader = csv.reader(out, delimiter = ",")
data = csv.reader(out)
data = [row for row in data]

for row  in data:
    Position = row[0]
    Name = row[1]
    Salary = row[2]
    Game_info = row[3]
    Avg_points = row[4]
    Players = (Name)
    for field in Salary:
        print(if Salary <= 7000)

out.close()

Answer 1

你可以试试这个：

import csv

data = csv.DictReader(open('filename.csv'))

players = [i['Name'] for i in data if i['Salary'] < 7000 and i['Ave_points'] >= 14]

如果您在Position,Name,Salary,Game_pts,Ave_pts表单中没有文件标题，则可以使用collections.namedtuple：

from collections import namedtuple

stats = namedtuple("stats", "position, name, salary, gamepts, avepts")

data = map(stats._make, csv.reader(open("filename.txt")))

new_data = [i.name for i in data if i.salary > 7000 and i.avepts >= 14]

Python NFL幻想CSV

1 个答案: