Python通過URL循環

Question

我正在嘗試從數據框中獲取日期，並在URL內遍歷它們。 我已經設法打印了URL的（第一代碼），但是當我嘗試將URL的json轉換為數據框（第二代碼）時，我得到了這個響應。

AttributeError：“ str”對象沒有屬性“ json”

#1st code
import requests
import pandas as pd

df = pd.read_csv('NBADates.csv')
df.to_dict('series')

for row in df.loc[ : ,"Date"]:
    url = url_template.format(row=row)
    print(url)

關於我在做什么錯的任何想法嗎？

#2nd code
import requests
import csv
import pandas as pd

url_template = "https://stats.nba.com/stats/leaguedashptstats?College=&Conference=&Country=&DateFrom={row}&DateTo={row}&Division=&DraftPick=&DraftYear=&GameScope=&Height=&LastNGames=0&LeagueID=00&Location=&Month=0&OpponentTeamID=0&Outcome=&PORound=0&PerMode=Totals&PlayerExperience=&PlayerOrTeam=Player&PlayerPosition=&PtMeasureType=SpeedDistance&Season=2017-18&SeasonSegment=&SeasonType=Regular+Season&StarterBench=&TeamID=0&VsConference=&VsDivision=&Weight="

df = pd.read_csv('NBADates.csv')
df.to_dict('series')

for row in df.loc[ : ,"Date"]:
    url = url_template.format(row=row)

    stats = url.json()['resultSets'][0]['rowSet']
    headers = url.json()['resultSets'][0]['headers']
    stats_df = pd.DataFrame(stats, columns=headers)

    # Append to the big dataframe
    lineup_df = lineup_df.append(stats_df, ignore_index=True)

lineup_df.to_csv("Stats.csv")

Answer 1

我認為您忘記了請求URL。 您應該發送一個請求，如果響應是一個json，則應該解析它