Question

import requests
import pandas as pd

shot_chart_url = 'http://stats.nba.com/stats/shotchartdetail?CFID=33&CFPAR'\
                'AMS=2014-15&ContextFilter=&ContextMeasure=FGA&DateFrom=&D'\
                'ateTo=&GameID=&GameSegment=&LastNGames=0&LeagueID=00&Loca'\
                'tion=&MeasureType=Base&Month=0&OpponentTeamID=0&Outcome=&'\
                'PaceAdjust=N&PerMode=PerGame&Period=0&PlayerID=201935&Plu'\
                'sMinus=N&Position=&Rank=N&RookieYear=&Season=2014-15&Seas'\
                'onSegment=&SeasonType=Regular+Season&TeamID=0&VsConferenc'\
                'e=&VsDivision=&mode=Advanced&showDetails=0&showShots=1&sh'\
                'owZones=0'

# Get the webpage containing the data
response = requests.get(shot_chart_url)
# Grab the headers to be used as column headers for our DataFrame
headers = response.json()['resultSets'][0]['headers']
# Grab the shot chart data
shots = response.json()['resultSets'][0]['rowSet']

shot_df = pd.DataFrame(shots, columns=headers)
# View the head of the DataFrame and all its columns
from IPython.display import display
with pd.option_context('display.max_columns', None):
    display(shot_df.head())

我想将pandas表中的数据转储为CSV，但我不确定如何实现pandas.DataFrame.to_csv

Answer 1

至少使用path参数调用DataFrame实例的to_csv方法

shot_df.to_csv('/path/to/file.csv')

将表格数据转储为CSV格式

1 个答案: