Question

我在这个api中有一个动态的行范围。我已经看过了一些先前使用的while循环，但我似乎无法弄清楚如何在这个脚本中交换for循环for while循环。

header = ["fanduel", "fd_first_name", "fd_last_name", "fd_player_salary", "draftkings", "dk_first_name", "dk_last_name", "dk_player_salary"]
headers = {
        "Authorization": "Basic " +
                base64.b64encode('{}:{}'.format(USERNAME,PASSWORD)\
                                .encode('utf-8')).decode('ascii')
    }

with open("dailydfs.csv", 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerow(header)
    for fordate in range(20171215,20171216):  #ENTER DATE'S
        req = requests.get(url="https://api.mysportsfeeds.com/v1.1/pull/nhl/2017-2018-regular/daily_dfs.json?fordate=" + str(fordate) , headers=headers)
        req.raise_for_status()
        data = req.json()

        daily_dfs = data['dailydfs']

        fanduel = daily_dfs['dfsEntries'][0]['dfsType']
        draftkings = daily_dfs['dfsEntries'][1]['dfsType']

        for i in range(20):

            fd_player = daily_dfs['dfsEntries'][0]['dfsRows'][i]['player']
            salary_fd = daily_dfs['dfsEntries'][0]['dfsRows'][i]
            fd_last_name = fd_player['LastName']
            fd_first_name = fd_player['FirstName']
            fd_player_salary = salary_fd['salary']

            dk_player = daily_dfs['dfsEntries'][1]['dfsRows'][i]['player']
            salary_dk = daily_dfs['dfsEntries'][1]['dfsRows'][i]
            dk_last_name = dk_player['LastName']
            dk_first_name = dk_player['FirstName']
            dk_player_salary = salary_dk['salary']

            writer.writerow([fanduel, fd_first_name, fd_last_name, fd_player_salary, draftkings, dk_first_name, dk_last_name, dk_player_salary])
            print(fanduel, fd_first_name, fd_last_name, fd_player_salary, draftkings, dk_first_name, dk_last_name, dk_player_salary)

输出：

FanDuel Jonathan Quick    8800  DraftKings Martin Jones      8400
FanDuel Henrik Lundqvist  8600  DraftKings Aaron Dell        8300
FanDuel Frederik Andersen 8500  DraftKings Frederik Andersen 8200
FanDuel Martin Jones      8500  DraftKings Curtis McElhinney 8100
FanDuel Ben Bishop        8500  DraftKings Cory Schneider    7900
FanDuel Cory Schneider    8200  DraftKings Tyler Seguin      7800

Answer 1

假设daily_dfs['dfsEntries'][0]['dfsRows']和daily_dfs['dfsEntries'][1]['dfsRows']具有相同数量的元素，您可以枚举第一个元素并在获取第二个元素时使用索引，即

for i, fd_info in enumerate(daily_dfs['dfsEntries'][0]['dfsRows']):
    fd_player = fd_info['player']
    fd_last_name = fd_player['LastName']
    fd_first_name = fd_player['FirstName']
    fd_player_salary = fd_info['salary']

    dk_info = daily_dfs['dfsEntries'][1]['dfsRows'][i]
    dk_player = dk_info['player']
    dk_last_name = dk_player['LastName']
    dk_first_name = dk_player['FirstName']
    dk_player_salary = dk_info['salary']

    # etc.

Answer 2

library(neuralnet)
library(caret) #has the confusionmatrix function in it
#for some reason compute needs to be called like that, calling normally was producing some error
nnans <- neuralnet::compute(NN, test)
confusionMatrix(nnans, test_labels))

用while循环python

2 个答案: