How to use _pull method in ATX

Best Python code snippet using ATX
_Player.py
Source:_Player.py
1import requests as _requests2from goldsberry._apiFunc import *3my_headers = {4    'Accept-Encoding': 'gzip, deflate, sdch',5    'Accept-Language': 'en-US,en;q=0.8',6    'Upgrade-Insecure-Requests': '1',7    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64)'\8    ' AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 '\9    'Safari/537.36',10    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9'\11    ',image/webp,*/*;q=0.8',12    'Cache-Control': 'max-age=0',13    'Connection': 'keep-alive'14}15class demographics:16    def __init__(self, playerid):17        self._url = 'http://stats.nba.com/stats/commonplayerinfo?'18        self._api_param = {'PlayerID':playerid}19        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)20    def player_info(self):21        _headers = self._pull.json()['resultSets'][0]['headers']22        _values = self._pull.json()['resultSets'][0]['rowSet']23        return [dict(zip(_headers, value)) for value in _values]24    def headline_stats(self):25        _headers = self._pull.json()['resultSets'][1]['headers']26        _values = self._pull.json()['resultSets'][1]['rowSet']27        return [dict(zip(_headers, value)) for value in _values]28class career_stats:29    def __init__(self, playerid, league='NBA',permode=1):30        self._url = "http://stats.nba.com/stats/playerprofilev2?"31        self._api_param = {'PlayerID':playerid,32                           'LeagueID':_nbaLeague(league),33                           'PerMode':_PerModeSmall36(permode)}34        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)35    def season_totals_regular(self):36        _headers = self._pull.json()['resultSets'][0]['headers']37        _values = self._pull.json()['resultSets'][0]['rowSet']38        return [dict(zip(_headers, value)) for value in _values]39    def career_totals_regular(self):40        _headers = self._pull.json()['resultSets'][1]['headers']41        _values = self._pull.json()['resultSets'][1]['rowSet']42        return [dict(zip(_headers, value)) for value in _values]43    def season_totals_post(self):44        _headers = self._pull.json()['resultSets'][2]['headers']45        _values = self._pull.json()['resultSets'][2]['rowSet']46        return [dict(zip(_headers, value)) for value in _values]47    def career_totals_post(self):48        _headers = self._pull.json()['resultSets'][3]['headers']49        _values = self._pull.json()['resultSets'][3]['rowSet']50        return [dict(zip(_headers, value)) for value in _values]51    def season_totals_allstar(self):52        _headers = self._pull.json()['resultSets'][4]['headers']53        _values = self._pull.json()['resultSets'][4]['rowSet']54        return [dict(zip(_headers, value)) for value in _values]55    def career_totals_allstar(self):56        _headers = self._pull.json()['resultSets'][5]['headers']57        _values = self._pull.json()['resultSets'][5]['rowSet']58        return [dict(zip(_headers, value)) for value in _values]59    def season_totals_college(self):60        _headers = self._pull.json()['resultSets'][6]['headers']61        _values = self._pull.json()['resultSets'][6]['rowSet']62        return [dict(zip(_headers, value)) for value in _values]63    def career_totals_college(self):64        _headers = self._pull.json()['resultSets'][7]['headers']65        _values = self._pull.json()['resultSets'][7]['rowSet']66        return [dict(zip(_headers, value)) for value in _values]67    def season_rankings_regular(self):68        _headers = self._pull.json()['resultSets'][8]['headers']69        _values = self._pull.json()['resultSets'][8]['rowSet']70        return [dict(zip(_headers, value)) for value in _values]71    def season_rankings_post(self):72        _headers = self._pull.json()['resultSets'][9]['headers']73        _values = self._pull.json()['resultSets'][9]['rowSet']74        return [dict(zip(_headers, value)) for value in _values]75    def season_high(self):76        _headers = self._pull.json()['resultSets'][10]['headers']77        _values = self._pull.json()['resultSets'][10]['rowSet']78        return [dict(zip(_headers, value)) for value in _values]79    def career_high(self):80        _headers = self._pull.json()['resultSets'][11]['headers']81        _values = self._pull.json()['resultSets'][11]['rowSet']82        return [dict(zip(_headers, value)) for value in _values]83    def next_game(self):84        _headers = self._pull.json()['resultSets'][12]['headers']85        _values = self._pull.json()['resultSets'][12]['rowSet']86        return [dict(zip(_headers, value)) for value in _values]87class general_splits:88    def __init__(self, playerid, season='2015',seasontype=1, league='NBA',89        dateto='', datefrom='', gamesegment=1, lastngames=0, location=1, measuretype=1,90        month=0, opponentteamid=0, outcome=1, paceadjust=1, permode=1, period=0,91        plusminus=1, rank=1, seasonsegment=1, vsconf=1, vsdiv=1):92        self._url = "http://stats.nba.com/stats/playerdashboardbygeneralsplits?"93        self._api_param = {'PlayerID':playerid,94                           'SeasonType': _SeasonType(seasontype),95                           'Season': _nbaSeason(season),96                           'LeagueID': _nbaLeague(league),97                           'DateTo':_valiDate(dateto),98                           'DateFrom':_valiDate(datefrom),99                           'GameSegment':_GameSegment(gamesegment),100                           'LastNGames':lastngames,101                           'Location':_Location(location),102                           'MeasureType':_measureType(measuretype),103                           'Month':month,104                           'OpponentTeamID':opponentteamid,105                           'Outcome':_Outcome(outcome),106                           'PaceAdjust':_PaceAdjust(paceadjust),107                           'PerMode':_PerModeLarge(permode),108                           'Period':period,109                           'PlusMinus':_PlusMinus(plusminus),110                           'Rank':_Rank(rank),111                           'SeasonSegment':_SeasonSegment(seasonsegment),112                           'VsConference':_VsConference(vsconf),113                           'VsDivision':_VsDivision(vsdiv)}114        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)115    def overall(self):116        _headers = self._pull.json()['resultSets'][0]['headers']117        _values = self._pull.json()['resultSets'][0]['rowSet']118        return [dict(zip(_headers, value)) for value in _values]119    def location(self):120        _headers = self._pull.json()['resultSets'][1]['headers']121        _values = self._pull.json()['resultSets'][1]['rowSet']122        return [dict(zip(_headers, value)) for value in _values]123    def wins_losses(self):124        _headers = self._pull.json()['resultSets'][2]['headers']125        _values = self._pull.json()['resultSets'][2]['rowSet']126        return [dict(zip(_headers, value)) for value in _values]127    def month(self):128        _headers = self._pull.json()['resultSets'][3]['headers']129        _values = self._pull.json()['resultSets'][3]['rowSet']130        return [dict(zip(_headers, value)) for value in _values]131    def pre_post_allstar(self):132        _headers = self._pull.json()['resultSets'][4]['headers']133        _values = self._pull.json()['resultSets'][4]['rowSet']134        return [dict(zip(_headers, value)) for value in _values]135    def starting_position(self):136        _headers = self._pull.json()['resultSets'][5]['headers']137        _values = self._pull.json()['resultSets'][5]['rowSet']138        return [dict(zip(_headers, value)) for value in _values]139    def days_rest(self):140        _headers = self._pull.json()['resultSets'][6]['headers']141        _values = self._pull.json()['resultSets'][6]['rowSet']142        return [dict(zip(_headers, value)) for value in _values]143class game_logs:144    def __init__(self, playerid, season='2015',seasontype=1, league='NBA'):145        self._url = "http://stats.nba.com/stats/playergamelog?"146        self._api_param = {'PlayerID':playerid,147                            'SeasonType': _SeasonType(seasontype),148                            'Season': _nbaSeason(season),149                            }150        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)151    def logs(self):152        _headers = self._pull.json()['resultSets'][0]['headers']153        _values = self._pull.json()['resultSets'][0]['rowSet']154        return [dict(zip(_headers, value)) for value in _values]155class shot_dashboard:156    def __init__(self,playerid,league='NBA',season='2015', seasontype=1,teamid=0,157                             outcome=1,location=1,month=0,seasonsegment=1,datefrom='',158                             dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,159                             period=0,lastngames=0, permode=1):160        self._url = "http://stats.nba.com/stats/playerdashptshots?"161        self._api_param = {'PlayerID' : playerid,162                           'LeagueID': _nbaLeague(league),163                           'Season' :  _nbaSeason(season),164                           'SeasonType' : _SeasonType(seasontype),165                           'TeamID' : teamid,166                           'Outcome' : _Outcome(outcome),167                           'Location' : _Location(location),168                           'Month' : month,169                           'SeasonSegment' : _SeasonSegment(seasonsegment),170                           'DateFrom' :  _valiDate(datefrom),171                           'DateTo' : _valiDate(dateto),172                           'OpponentTeamID' : opponentteamid,173                           'VsConference' : _VsConference(vsconf),174                           'VsDivision' : _VsDivision(vsdiv),175                           'GameSegment' : _GameSegment(gamesegment),176                           'Period' :  period,177                           'LastNGames' : lastngames,178                           'PerMode' : _PerModeMini(permode)179                           }180        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)181    def overall(self):182        _headers = self._pull.json()['resultSets'][0]['headers']183        _values = self._pull.json()['resultSets'][0]['rowSet']184        return [dict(zip(_headers, value)) for value in _values]185    def general(self):186        _headers = self._pull.json()['resultSets'][1]['headers']187        _values = self._pull.json()['resultSets'][1]['rowSet']188        return [dict(zip(_headers, value)) for value in _values]189    def shot_clock(self):190        _headers = self._pull.json()['resultSets'][2]['headers']191        _values = self._pull.json()['resultSets'][2]['rowSet']192        return [dict(zip(_headers, value)) for value in _values]193    def dribble(self):194        _headers = self._pull.json()['resultSets'][3]['headers']195        _values = self._pull.json()['resultSets'][3]['rowSet']196        return [dict(zip(_headers, value)) for value in _values]197    def closest_defender(self):198        _headers = self._pull.json()['resultSets'][4]['headers']199        _values = self._pull.json()['resultSets'][4]['rowSet']200        return [dict(zip(_headers, value)) for value in _values]201    def closest_defender_10ft(self):202        _headers = self._pull.json()['resultSets'][5]['headers']203        _values = self._pull.json()['resultSets'][5]['rowSet']204        return [dict(zip(_headers, value)) for value in _values]205    def touch_time(self):206        _headers = self._pull.json()['resultSets'][6]['headers']207        _values = self._pull.json()['resultSets'][6]['rowSet']208        return [dict(zip(_headers, value)) for value in _values]209class rebound_dashboard:210    def __init__(self,playerid,league='NBA',season='2015', seasontype=1,teamid=0,211                outcome=1,location=1,month=0,seasonsegment=1,datefrom='',212                dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,213                period=0,lastngames=0,permode=1):214        self._url = "http://stats.nba.com/stats/playerdashptreb?"215        self._api_param = {'PlayerID' : playerid,216                           'LeagueID': _nbaLeague(league),217                           'Season' :  _nbaSeason(season),218                           'SeasonType' : _SeasonType(seasontype),219                           'TeamID' : teamid,220                           'Outcome' : _Outcome(outcome),221                           'Location' : _Location(location),222                           'Month' : month,223                           'SeasonSegment' : _SeasonSegment(seasonsegment),224                           'DateFrom' :  _valiDate(datefrom),225                           'DateTo' : _valiDate(dateto),226                           'OpponentTeamID' : opponentteamid,227                           'VsConference' : _VsConference(vsconf),228                           'VsDivision' : _VsDivision(vsdiv),229                           'GameSegment' : _GameSegment(gamesegment),230                           'Period' :  period,231                           'LastNGames' : lastngames,232                           'PerMode' : _PerModeMini(permode)233                           }234        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)235    def overall(self):236        _headers = self._pull.json()['resultSets'][0]['headers']237        _values = self._pull.json()['resultSets'][0]['rowSet']238        return [dict(zip(_headers, value)) for value in _values]239    def shot_type(self):240        _headers = self._pull.json()['resultSets'][1]['headers']241        _values = self._pull.json()['resultSets'][1]['rowSet']242        return [dict(zip(_headers, value)) for value in _values]243    def contesting_rebounders(self):244        _headers = self._pull.json()['resultSets'][2]['headers']245        _values = self._pull.json()['resultSets'][2]['rowSet']246        return [dict(zip(_headers, value)) for value in _values]247    def shot_distance(self):248        _headers = self._pull.json()['resultSets'][3]['headers']249        _values = self._pull.json()['resultSets'][3]['rowSet']250        return [dict(zip(_headers, value)) for value in _values]251    def rebound_distance(self):252        _headers = self._pull.json()['resultSets'][4]['headers']253        _values = self._pull.json()['resultSets'][4]['rowSet']254        return [dict(zip(_headers, value)) for value in _values]255class passing_dashboard:256    def __init__(self,playerid,league='NBA',season='2015', seasontype=1,teamid=0,257                 outcome=1,location=1,month=0,seasonsegment=1,datefrom='',258                 dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,259                 period=0,lastngames=0,permode=1):260        self._url = "http://stats.nba.com/stats/playerdashptpass?"261        self._api_param = {'PlayerID' : playerid,262                           'LeagueID': _nbaLeague(league),263                           'Season' :  _nbaSeason(season),264                           'SeasonType' : _SeasonType(seasontype),265                           'TeamID' : teamid,266                           'Outcome' : _Outcome(outcome),267                           'Location' : _Location(location),268                           'Month' : month,269                           'SeasonSegment' : _SeasonSegment(seasonsegment),270                           'DateFrom' :  _valiDate(datefrom),271                           'DateTo' : _valiDate(dateto),272                           'OpponentTeamID' : opponentteamid,273                           'VsConference' : _VsConference(vsconf),274                           'VsDivision' : _VsDivision(vsdiv),275                           'GameSegment' : _GameSegment(gamesegment),276                           'Period' :  period,277                           'LastNGames' : lastngames,278                           'PerMode' : _PerModeMini(permode)279                           }280        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)281    def passes_made(self):282        _headers = self._pull.json()['resultSets'][0]['headers']283        _values = self._pull.json()['resultSets'][0]['rowSet']284        return [dict(zip(_headers, value)) for value in _values]285    def passes_received(self):286        _headers = self._pull.json()['resultSets'][1]['headers']287        _values = self._pull.json()['resultSets'][1]['rowSet']288        return [dict(zip(_headers, value)) for value in _values]289class defense_dashboard:290    def __init__(self,playerid,league='NBA',season='2015', seasontype=1,teamid=0,291                 outcome=1,location=1,month=0,seasonsegment=1,datefrom='',292                 dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,293                 period=0,lastngames=0,permode=1):294        self._url = "http://stats.nba.com/stats/playerdashptreb?"295        self._api_param = {'PlayerID' : playerid,296                           'LeagueID': _nbaLeague(league),297                           'Season' :  _nbaSeason(season),298                           'SeasonType' : _SeasonType(seasontype),299                           'TeamID' : teamid,300                           'Outcome' : _Outcome(outcome),301                           'Location' : _Location(location),302                           'Month' : month,303                           'SeasonSegment' : _SeasonSegment(seasonsegment),304                           'DateFrom' :  _valiDate(datefrom),305                           'DateTo' : _valiDate(dateto),306                           'OpponentTeamID' : opponentteamid,307                           'VsConference' : _VsConference(vsconf),308                           'VsDivision' : _VsDivision(vsdiv),309                           'GameSegment' : _GameSegment(gamesegment),310                           'Period' :  period,311                           'LastNGames' : lastngames,312                           'PerMode' : _PerModeMini(permode)313                           }314        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)315    def defending_shot(self):316        _headers = self._pull.json()['resultSets'][0]['headers']317        _values = self._pull.json()['resultSets'][0]['rowSet']318        return [dict(zip(_headers, value)) for value in _values]319class shot_log:320    def __init__(self,playerid,league='NBA',season='2015',seasontype=1,teamid=0,321                 outcome=1,location=1,month=0,seasonsegment=1,datefrom='',322                 dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,323                 period=0,lastngames=0):324        self._url = "http://stats.nba.com/stats/playerdashptshotlog?"325        self._api_param = {'PlayerID' : playerid,326                           'LeagueID': _nbaLeague(league),327                           'Season' :  _nbaSeason(season),328                           'SeasonType' : _SeasonType(seasontype),329                           'TeamID' : teamid,330                           'Outcome' : _Outcome(outcome),331                           'Location' : _Location(location),332                           'Month' : month,333                           'SeasonSegment' : _SeasonSegment(seasonsegment),334                           'DateFrom' :  _valiDate(datefrom),335                           'DateTo' : _valiDate(dateto),336                           'OpponentTeamID' : opponentteamid,337                           'VsConference' : _VsConference(vsconf),338                           'VsDivision' : _VsDivision(vsdiv),339                           'GameSegment' : _GameSegment(gamesegment),340                           'Period' :  period,341                           'LastNGames' : lastngames342                           }343        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)344    def log(self):345        _headers = self._pull.json()['resultSets'][0]['headers']346        _values = self._pull.json()['resultSets'][0]['rowSet']347        return [dict(zip(_headers, value)) for value in _values]348class rebound_log:349    def __init__(self,playerid,league='NBA',season='2015',seasontype=1,teamid=0,350                 outcome=1,location=1,month=0,seasonsegment=1,datefrom='',351                 dateto='',opponentteamid=0,vsconf=1,vsdiv=1,gamesegment=1,352                 period=0,lastngames=0):353        self._url = "http://stats.nba.com/stats/playerdashptreboundlogs?"354        self._api_param = {'PlayerID' : playerid,355                           'LeagueID': _nbaLeague(league),356                           'Season' :  _nbaSeason(season),357                           'SeasonType' : _SeasonType(seasontype),358                           'TeamID' : teamid,359                           'Outcome' : _Outcome(outcome),360                           'Location' : _Location(location),361                           'Month' : month,362                           'SeasonSegment' : _SeasonSegment(seasonsegment),363                           'DateFrom' :  _valiDate(datefrom),364                           'DateTo' : _valiDate(dateto),365                           'OpponentTeamID' : opponentteamid,366                           'VsConference' : _VsConference(vsconf),367                           'VsDivision' : _VsDivision(vsdiv),368                           'GameSegment' : _GameSegment(gamesegment),369                           'Period' :  period,370                           'LastNGames' : lastngames371                           }372        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)373    def log(self):374        _headers = self._pull.json()['resultSets'][0]['headers']375        _values = self._pull.json()['resultSets'][0]['rowSet']376        return [dict(zip(_headers, value)) for value in _values]377class shot_chart:378    def __init__(self,playerid,leagueid='',season='2015', seasontype=1,teamid=0,379                 gameid='',outcome=1,location=1,month=0,seasonsegment=1,380                 datefrom='',dateto='',opponentteamid=0,vsconf=1,vsdiv=1,381                 position=1,period=0,lastngames=0,aheadbehind=1,382                 contextmeasure=1,clutchtime=7,rookieyear='',383                 contextfilter='',startperiod='1',endperiod='10',startrange='0',384                 endrange='28800', gamesegment=1, rangetype='2'):385        if not rookieyear == '':386            rookieyear = _nbaSeason(rookieyear)387        self._url = "http://stats.nba.com/stats/shotchartdetail?"388        self._api_param = {'LeagueID': leagueid,389                           'Season' :  _nbaSeason(season),390                           'SeasonType' : _SeasonType(seasontype),391                           'TeamID' : teamid,392                           'PlayerID' : playerid,393                           'GameID' : gameid,394                           'Outcome' : _Outcome(outcome),395                           'Location' : _Location(location),396                           'Month' : month,397                           'SeasonSegment' : _SeasonSegment(seasonsegment),398                           'DateFrom' :  _valiDate(datefrom),399                           'DateTo' : _valiDate(dateto),400                           'OpponentTeamID' : opponentteamid,401                           'VsConference' : _VsConference(vsconf),402                           'VsDivision' : _VsDivision(vsdiv),403                           'Position' : _Position(position),404                           'GameSegment' : _GameSegment(gamesegment),405                           'Period' :  period,406                           'LastNGames' : lastngames,407                           'AheadBehind' : _AheadBehind(aheadbehind),408                           'ContextMeasure' : _ContextMeasure(contextmeasure),409                           'ClutchTime' : _ClutchTime(clutchtime),410                           'RookieYear' : rookieyear,411                           'ContextFilter':contextfilter,412                           'StartPeriod':startperiod,413                           'EndPeriod':endperiod,414                           'StartRange':startrange,415                           'EndRange':endrange,416                           'RangeType':rangetype,417                           }418        self._pull = _requests.get(self._url, params=self._api_param, headers=my_headers)419    def chart(self):420        _headers = self._pull.json()['resultSets'][0]['headers']421        _values = self._pull.json()['resultSets'][0]['rowSet']422        return [dict(zip(_headers, value)) for value in _values]423    def leagueaverage(self):424        _headers = self._pull.json()['resultSets'][1]['headers']425        _values = self._pull.json()['resultSets'][1]['rowSet']426        return [dict(zip(_headers, value)) for value in _values]427def PlayerList(season='2015', AllTime=False, league='NBA'):428    if AllTime:429        _url = "http://stats.nba.com/stats/commonallplayers?"430        _api_param = {'IsOnlyCurrentSeason':"0",431                      'LeagueID':_nbaLeague(league),432                      'Season': "2015-16"}433        _pull = _requests.get(_url, params=_api_param, headers=my_headers)434        _headers = _pull.json()['resultSets'][0]['headers']435        _values = _pull.json()['resultSets'][0]['rowSet']436        return [dict(zip(_headers, value)) for value in _values]437    else:438        _url = "http://stats.nba.com/stats/commonallplayers?"439        _api_param = {'IsOnlyCurrentSeason':"0",440                      'LeagueID': _nbaLeague(league),441                      'Season': _nbaSeason(season)}442        _pull = _requests.get(_url, params=_api_param, headers=my_headers)443        _headers = _pull.json()['resultSets'][0]['headers']444        _values = _pull.json()['resultSets'][0]['rowSet']445        return [dict(zip(_headers, value)) for value in _values]446__all__ = ["demographics", "career_stats", "general_splits",447           "game_logs", "shot_dashboard", "rebound_dashboard",448           "passing_dashboard", "defense_dashboard", "shot_log",...
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