2024-09-30 16:25:25 发布
网友
因此,在挣扎了很长时间后,我找到了一种从nba.com以逗号分隔的值
这是结果http://stats.nba.com/stats/leaguedashplayerstats?DateFrom=&DateTo=&GameScope=&GameSegment=&LastNGames=15&LeagueID=00&Location=&MeasureType=Advanced&Month=0&OpponentTeamID=0&Outcome=&PaceAdjust=N&PerMode=Totals&Period=0&PlayerExperience=&PlayerPosition=&PlusMinus=N&Rank=N&Season=2015-16&SeasonSegment=&SeasonType=Regular+Season&StarterBench=&VsConference=&VsDivision=
如何将其放入一个漂亮的CSV或excel文件中? 如果可能的话,我如何像通过excelweb查询表一样自动查询这些数据?在
您可以从以下几点开始:
import requests import csv url = "http://stats.nba.com/stats/leaguedashplayerstats?DateFrom=&DateTo=&GameScope=&GameSegment=&LastNGames=15&LeagueID=00&Location=&MeasureType=Advanced&Month=0&OpponentTeamID=0&Outcome=&PaceAdjust=N&PerMode=Totals&Period=0&PlayerExperience=&PlayerPosition=&PlusMinus=N&Rank=N&Season=2015-16&SeasonSegment=&SeasonType=Regular+Season&StarterBench=&VsConference=&VsDivision=" data = requests.get(url) entries = data.json() with open('output.csv', 'wb') as f_output: csv_output = csv.writer(f_output) csv_output.writerow(entries['resultSets'][0]['headers']) csv_output.writerows(entries['resultSets'][0]['rowSet'])
这将生成一个output.csv文件,如下所示:
output.csv
您可以从以下几点开始:
这将生成一个
^{pr2}$output.csv
文件,如下所示:相关问题 更多 >
编程相关推荐