Source code for sportsreference.nba.roster

import pandas as pd
import re
from datetime import datetime
from functools import wraps
from lxml.etree import ParserError, XMLSyntaxError
from pyquery import PyQuery as pq
from urllib.error import HTTPError
from .. import utils
from .constants import NATIONALITY, PLAYER_SCHEME, PLAYER_URL, ROSTER_URL
from .player import AbstractPlayer


def _cleanup(prop):
    try:
        prop = prop.replace('%', '')
        prop = prop.replace('$', '')
        prop = prop.replace(',', '')
        return prop.replace('+', '')
    # Occurs when a value is of Nonetype. When that happens, return a blank
    # string as whatever have come in had an incomplete value.
    except AttributeError:
        return ''


def _int_property_decorator(func):
    @property
    @wraps(func)
    def wrapper(*args):
        index = args[0]._index
        prop = func(*args)
        value = _cleanup(prop[index])
        try:
            return int(value)
        except ValueError:
            # If there is no value, default to None
            return None
    return wrapper


def _int_property_decorator_default_zero(func):
    @property
    @wraps(func)
    def wrapper(*args):
        index = args[0]._index
        prop = func(*args)
        value = _cleanup(prop[index])
        try:
            return int(value)
        except ValueError:
            # If there is no value, default to 0
            return 0
    return wrapper


def _float_property_decorator(func):
    @property
    @wraps(func)
    def wrapper(*args):
        index = args[0]._index
        prop = func(*args)
        value = _cleanup(prop[index])
        try:
            return float(value)
        except ValueError:
            # If there is no value, default to None
            return None
    return wrapper


def _most_recent_decorator(func):
    @property
    @wraps(func)
    def wrapper(*args):
        season = args[0]._most_recent_season
        seasons = args[0]._season
        index = seasons.index(season)
        prop = func(*args)
        return prop[index]
    return wrapper


[docs]class Player(AbstractPlayer): """ Get player information and stats for all seasons. Given a player ID, such as 'hardeja01' for James Harden, capture all relevant stats and information like name, nationality, height/weight, career three-pointers, last season's offensive rebounds, salary, contract amount, and much more. By default, the class instance will return the player's career stats, but single-season stats can be found by calling the instance with the requested season as denoted on basketball-reference.com. Parameters ---------- player_id : string A player's ID according to basketball-reference.com, such as 'hardeja01' for James Harden. The player ID can be found by navigating to the player's stats page and getting the string between the final slash and the '.html' in the URL. In general, the ID is in the format 'LLLLLFFNN' where 'LLLLL' are the first 5 letters in the player's last name, 'FF', are the first 2 letters in the player's first name, and 'NN' is a number starting at '01' for the first time that player ID has been used and increments by 1 for every successive player. """ def __init__(self, player_id): self._most_recent_season = '' self._index = None self._player_id = player_id self._season = None self._name = None self._team_abbreviation = None self._position = None self._height = None self._weight = None self._birth_date = None self._nationality = None self._games_played = None self._games_started = None self._player_efficiency_rating = None self._offensive_win_shares = None self._defensive_win_shares = None self._win_shares = None self._win_shares_per_48_minutes = None self._offensive_box_plus_minus = None self._defensive_box_plus_minus = None self._box_plus_minus = None self._value_over_replacement_player = None self._shooting_distance = None self._percentage_shots_two_pointers = None self._percentage_zero_to_three_footers = None self._percentage_three_to_ten_footers = None self._percentage_ten_to_sixteen_footers = None self._percentage_sixteen_foot_plus_two_pointers = None self._percentage_shots_three_pointers = None self._field_goal_perc_zero_to_three_feet = None self._field_goal_perc_three_to_ten_feet = None self._field_goal_perc_ten_to_sixteen_feet = None self._field_goal_perc_sixteen_foot_plus_two_pointers = None self._two_pointers_assisted_percentage = None self._percentage_field_goals_as_dunks = None self._dunks = None self._three_pointers_assisted_percentage = None self._percentage_of_three_pointers_from_corner = None self._three_point_shot_percentage_from_corner = None self._half_court_heaves = None self._half_court_heaves_made = None self._point_guard_percentage = None self._shooting_guard_percentage = None self._small_forward_percentage = None self._power_forward_percentage = None self._center_percentage = None self._on_court_plus_minus = None self._net_plus_minus = None self._passing_turnovers = None self._lost_ball_turnovers = None self._other_turnovers = None self._shooting_fouls = None self._blocking_fouls = None self._offensive_fouls = None self._take_fouls = None self._points_generated_by_assists = None self._shooting_fouls_drawn = None self._and_ones = None self._shots_blocked = None self._salary = None self._contract = None player_data = self._pull_player_data() if not player_data: return self._find_initial_index() AbstractPlayer.__init__(self, player_id, self._name, player_data) def _build_url(self): """ Create the player's URL to pull stats from. The player's URL requires the first letter of the player's last name followed by the player ID. Returns ------- string The string URL for the player's stats page. """ # The first letter of the player's last name is used to sort the player # list and is a part of the URL. first_character = self._player_id[0] return PLAYER_URL % (first_character, self._player_id) def _retrieve_html_page(self): """ Download the requested player's stats page. Download the requested page and strip all of the comment tags before returning a pyquery object which will be used to parse the data. Returns ------- PyQuery object The requested page is returned as a queriable PyQuery object with the comment tags removed. """ url = self._build_url() try: url_data = pq(url) except HTTPError: return None return pq(utils._remove_html_comment_tags(url_data)) def _parse_season(self, row): """ Parse the season string from the table. The season is generally located in the first column of the stats tables and should be parsed to denote which season metrics are being pulled from. Parameters ---------- row : PyQuery object A PyQuery object of a single row in a stats table. Returns ------- string A string representation of the season in the format 'YYYY-YY', such as '2017-18'. """ return utils._parse_field(PLAYER_SCHEME, row, 'season') def _combine_season_stats(self, table_rows, career_stats, all_stats_dict): """ Combine all stats for each season. Since all of the stats are spread across multiple tables, they should be combined into a single field which can be used to easily query stats at once. Parameters ---------- table_rows : generator A generator where each element is a row in a stats table. career_stats : generator A generator where each element is a row in the footer of a stats table. Career stats are kept in the footer, hence the usage. all_stats_dict : dictionary A dictionary of all stats separated by season where each key is the season ``string``, such as '2017-18', and the value is a ``dictionary`` with a ``string`` of 'data' and ``string`` containing all of the data. Returns ------- dictionary Returns an updated version of the passed all_stats_dict which includes more metrics from the provided table. """ most_recent_season = self._most_recent_season if not table_rows: table_rows = [] for row in table_rows: season = self._parse_season(row) try: all_stats_dict[season]['data'] += str(row) except KeyError: all_stats_dict[season] = {'data': str(row)} most_recent_season = season self._most_recent_season = most_recent_season if not career_stats: return all_stats_dict try: all_stats_dict['Career']['data'] += str(next(career_stats)) except KeyError: all_stats_dict['Career'] = {'data': str(next(career_stats))} return all_stats_dict def _combine_all_stats(self, player_info): """ Pull stats from all tables into single data structure. Pull the stats from all of the requested tables into a dictionary that is separated by season to allow easy queries of the player's stats for each season. Parameters ---------- player_info : PyQuery object A PyQuery object containing all of the stats information for the requested player. Returns ------- dictionary Returns a dictionary where all stats from each table are combined by season to allow easy queries by year. """ all_stats_dict = {} for table_id in ['totals', 'advanced', 'shooting', 'advanced_pbp', 'all_salaries']: table_items = utils._get_stats_table(player_info, 'table#%s' % table_id) career_items = utils._get_stats_table(player_info, 'table#%s' % table_id, footer=True) all_stats_dict = self._combine_season_stats(table_items, career_items, all_stats_dict) return all_stats_dict def _parse_nationality(self, player_info): """ Parse the player's nationality. The player's nationality is denoted by a flag in the information section with a country code for each nation. The country code needs to pulled and then matched to find the player's home country. Once found, the '_nationality' attribute is set for the player. Parameters ---------- player_info : PyQuery object A PyQuery object containing the HTML from the player's stats page. """ for span in player_info('span').items(): if 'class="f-i' in str(span): nationality = span.text() nationality = NATIONALITY[nationality] setattr(self, '_nationality', nationality) break def _parse_player_information(self, player_info): """ Parse general player information. Parse general player information such as height, weight, and name. The attribute for the requested field will be set with the value prior to returning. Parameters ---------- player_info : PyQuery object A PyQuery object containing the HTML from the player's stats page. """ for field in ['_height', '_weight', '_name']: short_field = str(field)[1:] value = utils._parse_field(PLAYER_SCHEME, player_info, short_field) setattr(self, field, value) def _parse_birth_date(self, player_info): """ Parse the player's birth date. Pull the player's birth date from the player information and set the '_birth_date' attribute with the value prior to returning. Parameters ---------- player_info : PyQuery object A PyQuery object containing the HTML from the player's stats page. """ date = player_info('span[itemprop="birthDate"]').attr('data-birth') setattr(self, '_birth_date', date) def _parse_contract_headers(self, table): """ Parse the years on the contract. The years are listed as the headers on the contract. The first header contains 'Team' which specifies the player's current team and should not be included in the years. Parameters ---------- table : PyQuery object A PyQuery object containing the contract table. Returns ------- list Returns a list where each element is a string denoting the season, such as '2017-18'. """ years = [i.text() for i in table('th').items()] years.remove('Team') return years def _parse_contract_wages(self, table): """ Parse the wages on the contract. The wages are listed as the data points in the contract table. Any values that don't have a value which starts with a '$' sign are likely not valid and should be dropped. Parameters ---------- table : PyQuery object A PyQuery object containing the contract table. Returns ------- list Returns a list of all wages where each element is a string denoting the dollar amount, such as '$40,000,000'. """ wages = [i.text() if i.text().startswith('$') else '' for i in table('td').items()] wages.remove('') return wages def _combine_contract(self, years, wages): """ Combine the contract wages and year. Match the wages with the year and add to a dictionary representing the player's contract. Parameters ---------- years : list A list where each element is a string denoting the season, such as '2017-18'. wages : list A list of all wages where each element is a string denoting the dollar amount, such as '$40,000,000'. Returns ------- dictionary Returns a dictionary representing the player's contract where each key is a ``string`` of the season, such as '2017-18' and each value is a ``string`` of the wages, such as '$40,000,000'. """ contract = {} for i in range(len(years)): contract[years[i]] = wages[i] return contract def _parse_contract(self, player_info): """ Parse the player's contract. Depending on the player's contract status, a contract table is located at the bottom of the stats page and includes player wages by season. If found, create a dictionary housing the wages by season. Parameters ---------- player_info : PyQuery object A PyQuery object containing the HTML from the player's stats page. """ tables = player_info('table').items() for table in tables: id_attr = table.attr('id') if id_attr: if id_attr.startswith('contracts_'): years = self._parse_contract_headers(table) wages = self._parse_contract_wages(table) contract = self._combine_contract(years, wages) # If the contract is empty, the player likely doesn't have # a contract and should have a value of None instead. if contract == {}: contract = None setattr(self, '_contract', contract) break def _pull_player_data(self): """ Pull and aggregate all player information. Pull the player's HTML stats page and parse unique properties, such as the player's height, weight, and position. Next, combine all stats for all seasons plus the player's career stats into a single object which can easily be iterated upon. Returns ------- dictionary Returns a dictionary of the player's combined stats where each key is a string of the season and the value is the season's associated stats. """ player_info = self._retrieve_html_page() if not player_info: return self._parse_player_information(player_info) self._parse_nationality(player_info) self._parse_birth_date(player_info) self._parse_contract(player_info) all_stats = self._combine_all_stats(player_info) setattr(self, '_season', all_stats.keys()) return all_stats def _find_initial_index(self): """ Find the index of career stats. When the Player class is instantiated, the default stats to pull are the player's career stats. Upon being called, the index of the 'Career' element should be the index value. """ index = 0 for season in self._season: if season == 'Career': self._index = index break index += 1 def __call__(self, requested_season=''): """ Specify a different season to pull stats from. A different season can be requested by passing the season string, such as '2017-18' to the class instance. Parameters ---------- requested_season : string (optional) A string of the requested season to query, such as '2017-18'. If left blank or 'Career' is passed, the career stats will be used for stats queries. Returns ------- Player class instance Returns the class instance with the updated stats being referenced. """ if requested_season.lower() == 'career' or \ requested_season == '': requested_season = 'Career' index = 0 for season in self._season: if season == requested_season: self._index = index break index += 1 return self def _dataframe_fields(self): """ Creates a dictionary of all fields to include with DataFrame. With the result of the calls to class properties changing based on the class index value, the dictionary should be regenerated every time the index is changed when the dataframe property is requested. Returns ------- dictionary Returns a dictionary where the keys are the shortened ``string`` attribute names and the values are the actual value for each attribute for the specified index. """ fields_to_include = { 'and_ones': self.and_ones, 'assist_percentage': self.assist_percentage, 'assists': self.assists, 'block_percentage': self.block_percentage, 'blocking_fouls': self.blocking_fouls, 'blocks': self.blocks, 'box_plus_minus': self.box_plus_minus, 'center_percentage': self.center_percentage, 'defensive_box_plus_minus': self.defensive_box_plus_minus, 'defensive_rebound_percentage': self.defensive_rebound_percentage, 'defensive_rebounds': self.defensive_rebounds, 'defensive_win_shares': self.defensive_win_shares, 'dunks': self.dunks, 'effective_field_goal_percentage': self.effective_field_goal_percentage, 'field_goal_attempts': self.field_goal_attempts, 'field_goal_perc_sixteen_foot_plus_two_pointers': self.field_goal_perc_sixteen_foot_plus_two_pointers, 'field_goal_perc_ten_to_sixteen_feet': self.field_goal_perc_ten_to_sixteen_feet, 'field_goal_perc_three_to_ten_feet': self.field_goal_perc_three_to_ten_feet, 'field_goal_perc_zero_to_three_feet': self.field_goal_perc_zero_to_three_feet, 'field_goal_percentage': self.field_goal_percentage, 'field_goals': self.field_goals, 'free_throw_attempt_rate': self.free_throw_attempt_rate, 'free_throw_attempts': self.free_throw_attempts, 'free_throw_percentage': self.free_throw_percentage, 'free_throws': self.free_throws, 'games_played': self.games_played, 'games_started': self.games_started, 'half_court_heaves': self.half_court_heaves, 'half_court_heaves_made': self.half_court_heaves_made, 'height': self.height, 'lost_ball_turnovers': self.lost_ball_turnovers, 'minutes_played': self.minutes_played, 'nationality': self.nationality, 'net_plus_minus': self.net_plus_minus, 'offensive_box_plus_minus': self.offensive_box_plus_minus, 'offensive_fouls': self.offensive_fouls, 'offensive_rebound_percentage': self.offensive_rebound_percentage, 'offensive_rebounds': self.offensive_rebounds, 'offensive_win_shares': self.offensive_win_shares, 'on_court_plus_minus': self.on_court_plus_minus, 'other_turnovers': self.other_turnovers, 'passing_turnovers': self.passing_turnovers, 'percentage_field_goals_as_dunks': self.percentage_field_goals_as_dunks, 'percentage_of_three_pointers_from_corner': self.percentage_of_three_pointers_from_corner, 'percentage_shots_three_pointers': self.percentage_shots_three_pointers, 'percentage_shots_two_pointers': self.percentage_shots_two_pointers, 'percentage_sixteen_foot_plus_two_pointers': self.percentage_sixteen_foot_plus_two_pointers, 'percentage_ten_to_sixteen_footers': self.percentage_ten_to_sixteen_footers, 'percentage_three_to_ten_footers': self.percentage_three_to_ten_footers, 'percentage_zero_to_three_footers': self.percentage_zero_to_three_footers, 'personal_fouls': self.personal_fouls, 'player_efficiency_rating': self.player_efficiency_rating, 'player_id': self.player_id, 'point_guard_percentage': self.point_guard_percentage, 'points': self.points, 'points_generated_by_assists': self.points_generated_by_assists, 'position': self.position, 'power_forward_percentage': self.power_forward_percentage, 'salary': self.salary, 'shooting_distance': self.shooting_distance, 'shooting_fouls': self.shooting_fouls, 'shooting_fouls_drawn': self.shooting_fouls_drawn, 'shooting_guard_percentage': self.shooting_guard_percentage, 'shots_blocked': self.shots_blocked, 'small_forward_percentage': self.small_forward_percentage, 'steal_percentage': self.steal_percentage, 'steals': self.steals, 'take_fouls': self.take_fouls, 'team_abbreviation': self.team_abbreviation, 'three_point_attempt_rate': self.three_point_attempt_rate, 'three_point_attempts': self.three_point_attempts, 'three_point_percentage': self.three_point_percentage, 'three_point_shot_percentage_from_corner': self.three_point_shot_percentage_from_corner, 'three_pointers': self.three_pointers, 'three_pointers_assisted_percentage': self.three_pointers_assisted_percentage, 'total_rebound_percentage': self.total_rebound_percentage, 'total_rebounds': self.total_rebounds, 'true_shooting_percentage': self.true_shooting_percentage, 'turnover_percentage': self.turnover_percentage, 'turnovers': self.turnovers, 'two_point_attempts': self.two_point_attempts, 'two_point_percentage': self.two_point_percentage, 'two_pointers': self.two_pointers, 'two_pointers_assisted_percentage': self.two_pointers_assisted_percentage, 'usage_percentage': self.usage_percentage, 'value_over_replacement_player': self.value_over_replacement_player, 'weight': self.weight, 'win_shares': self.win_shares, 'win_shares_per_48_minutes': self.win_shares_per_48_minutes } return fields_to_include @property def dataframe(self): """ Returns a ``pandas DataFrame`` containing all other relevant class properties and values where each index is a different season plus the career stats. """ temp_index = self._index rows = [] indices = [] for season in self._season: self._index = self._season.index(season) rows.append(self._dataframe_fields()) indices.append(season) self._index = temp_index return pd.DataFrame(rows, index=[indices]) @property def season(self): """ Returns a ``string`` of the season in the format 'YYYY-YY', such as '2017-18'. If no season was requested, the career stats will be returned for the player and the season will default to 'Career'. """ return self._season[self._index] @property def team_abbreviation(self): """ Returns a ``string`` of the abbrevation for the team the player plays for, such as 'HOU' for James Harden. """ return self._team_abbreviation[self._index] @_most_recent_decorator def position(self): """ Returns a ``string`` constant of the player's primary position. """ return self._position @property def height(self): """ Returns a ``string`` of the player's height in the format "feet-inches". """ return self._height @property def weight(self): """ Returns an ``int`` of the player's weight in pounds. """ return int(self._weight.replace('lb', '')) @property def birth_date(self): """ Returns a ``datetime`` object of the day and year the player was born. """ return datetime.strptime(self._birth_date, '%Y-%m-%d') @property def nationality(self): """ Returns a ``string`` constant denoting which country the player originates from. """ return self._nationality @_int_property_decorator def games_played(self): """ Returns an ``int`` of the number of games the player participated in. """ return self._games_played @_int_property_decorator def games_started(self): """ Returns an ``int`` of the number of games the player started. """ return self._games_started @_int_property_decorator def two_pointers(self): """ Returns an ``int`` of the total number of two point field goals the player made. """ return self._two_pointers @_int_property_decorator def two_point_attempts(self): """ Returns an ``int`` of the total number of two point field goals the player attempted during the season. """ return self._two_point_attempts @_float_property_decorator def two_point_percentage(self): """ Returns a ``float`` of the player's two point field goal percentage during the season. Percentage ranges from 0-1. """ return self._two_point_percentage @_float_property_decorator def player_efficiency_rating(self): """ Returns a ``float`` of the player's efficiency rating which represents the player's relative production level. An average player in the league has an efficiency rating of 15. """ return self._player_efficiency_rating @_float_property_decorator def offensive_win_shares(self): """ Returns a ``float`` of the number of wins the player contributed to the team as a result of his offensive plays. """ return self._offensive_win_shares @_float_property_decorator def defensive_win_shares(self): """ Returns a ``float`` of the number of wins the player contributed to the team as a result of his defensive plays. """ return self._defensive_win_shares @_float_property_decorator def win_shares(self): """ Returns a ``float`` of the number of wins the player contributed to the team as a result of his offensive and defensive plays. """ return self._win_shares @_float_property_decorator def win_shares_per_48_minutes(self): """ Returns a ``float`` of the number of wins the player contributed to the team per 48 minutes of playtime. An average player has a contribution of 0.100. """ return self._win_shares_per_48_minutes @_float_property_decorator def offensive_box_plus_minus(self): """ Returns a ``float`` of the number of offensive points per 100 possessions the player contributed in comparison to an average player in the league. """ return self._offensive_box_plus_minus @_float_property_decorator def defensive_box_plus_minus(self): """ Returns a ``float`` of the number of defensive points per 100 possessions the player contributed in comparison to an average player in the league. """ return self._defensive_box_plus_minus @_float_property_decorator def value_over_replacement_player(self): """ Returns a ``float`` of the total number of points per 100 team possessions the player contributed compared to a replacement-level player (who has an average score of -2.0). This value is prorated for an 82-game season. """ return self._value_over_replacement_player @_float_property_decorator def shooting_distance(self): """ Returns a ``float`` of the average distance the player takes a shot from in feet. """ return self._shooting_distance @_float_property_decorator def percentage_shots_two_pointers(self): """ Returns a ``float`` of the percentage of shots the player takes that are 2-pointers. Percentage ranges from 0-1. """ return self._percentage_shots_two_pointers @_float_property_decorator def percentage_zero_to_three_footers(self): """ Returns a ``float`` of the percentage of shots the player takes from zero to three feet from the basket. Percentage ranges from 0-1. """ return self._percentage_zero_to_three_footers @_float_property_decorator def percentage_three_to_ten_footers(self): """ Returns a ``float`` of the percentage of shots the player takes from three to ten feet from the basket. Percentage ranges from 0-1. """ return self._percentage_three_to_ten_footers @_float_property_decorator def percentage_ten_to_sixteen_footers(self): """ Returns a ``float`` of the percentage of shots the player takes from ten to sixteen feet from the basket. Percentage ranges from 0-1. """ return self._percentage_ten_to_sixteen_footers @_float_property_decorator def percentage_sixteen_foot_plus_two_pointers(self): """ Returns a ``float`` of the percentage of shots the player takes that are greater than sixteen feet from the basket, but in front of or on the three point arc. Percentage ranges from 0-1. """ return self._percentage_sixteen_foot_plus_two_pointers @_float_property_decorator def percentage_shots_three_pointers(self): """ Returns a ``float`` of the percentage of shots the player takes from beyond the three point arc. Percentage ranges from 0-1. """ return self._percentage_shots_three_pointers @_float_property_decorator def field_goal_perc_zero_to_three_feet(self): """ Returns a ``float`` of the player's field goal percentage for shots between zero and three feet from the basket. Percentage ranges from 0-1. """ return self._field_goal_perc_zero_to_three_feet @_float_property_decorator def field_goal_perc_three_to_ten_feet(self): """ Returns a ``float`` of the player's field goal percentage for shots between three and ten feet from the basket. Percentage ranges from 0-1. """ return self._field_goal_perc_three_to_ten_feet @_float_property_decorator def field_goal_perc_ten_to_sixteen_feet(self): """ Returns a ``float`` of the player's field goal percentage for shots between ten and sixteen feet from the basket. Percentage ranges from 0-1. """ return self._field_goal_perc_ten_to_sixteen_feet @_float_property_decorator def field_goal_perc_sixteen_foot_plus_two_pointers(self): """ Returns a ``float`` of the player's field goal percentage for shots that are greater than sixteen feet from the basket, but in front of or on the three point arc. Percentage ranges from 0-1. """ return self._field_goal_perc_sixteen_foot_plus_two_pointers @_float_property_decorator def two_pointers_assisted_percentage(self): """ Returns a ``float`` of the percentage of 2-point field goals by the player that are assisted. Percentage ranges from 0-1. """ return self._two_pointers_assisted_percentage @_float_property_decorator def percentage_field_goals_as_dunks(self): """ Returns a ``float`` of the percentage of the player's shot attempts that are dunks. Percentage ranges from 0-1. """ return self._percentage_field_goals_as_dunks @_int_property_decorator def dunks(self): """ Returns an ``int`` of the total number of dunks the player made during the season. """ return self._dunks @_float_property_decorator def three_pointers_assisted_percentage(self): """ Returns a ``float`` of the percentage of 3-point field goals by the player that are assisted. Percentage ranges from 0-1. """ return self._three_pointers_assisted_percentage @_float_property_decorator def percentage_of_three_pointers_from_corner(self): """ Returns a ``float`` of the percentage of 3-point shots the player attempted from the corner. Percentage ranges from 0-1. """ return self._percentage_of_three_pointers_from_corner @_float_property_decorator def three_point_shot_percentage_from_corner(self): """ Returns a ``float`` of the percentage of 3-pointers from the corner that went in. Percentage ranges from 0-1. """ return self._three_point_shot_percentage_from_corner @_int_property_decorator def half_court_heaves(self): """ Returns an ``int`` of the number of shots the player took from beyond mid-court. """ return self._half_court_heaves @_int_property_decorator def half_court_heaves_made(self): """ Returns an ``int`` of the number of shots the player made from beyond mid-court. """ return self._half_court_heaves_made @_int_property_decorator_default_zero def point_guard_percentage(self): """ Returns an ``int`` of the percentage of time the player spent as a point guard. Percentage ranges from 0-100 and is rounded to the nearest whole number. """ return self._point_guard_percentage @_int_property_decorator_default_zero def shooting_guard_percentage(self): """ Returns an ``int`` of the percentage of time the player spent as a shooting guard. Percentage ranges from 0-100 and is rounded to the nearest whole number. """ return self._shooting_guard_percentage @_int_property_decorator_default_zero def small_forward_percentage(self): """ Returns an ``int`` of the percentage of time the player spent as a small forward. Percentage ranges from 0-100 and is rounded to the nearest whole number. """ return self._small_forward_percentage @_int_property_decorator_default_zero def power_forward_percentage(self): """ Returns an ``int`` of the percentage of time the player spent as a power forward. Percentage ranges from 0-100 and is rounded to the nearest whole number. """ return self._power_forward_percentage @_int_property_decorator_default_zero def center_percentage(self): """ Returns an ``int`` of the percentage of time the player spent as a center. Percentage ranges from 0-100 and is rounded to the nearest whole number. """ return self._center_percentage @_float_property_decorator def on_court_plus_minus(self): """ Returns a ``float`` of the number of points the player contributes to the team while on the court per 100 possessions. """ return self._on_court_plus_minus @_float_property_decorator def net_plus_minus(self): """ Returns a ``float`` of the net number of points the player contributes to the team per 100 possessions regardless of being on the floor or not. """ return self._net_plus_minus @_int_property_decorator def passing_turnovers(self): """ Returns an ``int`` of the total number of turnovers the player committed due to a bad pass. """ return self._passing_turnovers @_int_property_decorator def lost_ball_turnovers(self): """ Returns an ``int`` of the total number of turnovers the player committed due to losing the ball. """ return self._lost_ball_turnovers @_int_property_decorator def other_turnovers(self): """ Returns an ``int`` of the total number of all other non-passing/ dribbling turnovers the player committed. """ return self._other_turnovers @_int_property_decorator def shooting_fouls(self): """ Returns an ``int`` of the total number of shooting fouls the player committed. """ return self._shooting_fouls @_int_property_decorator def blocking_fouls(self): """ Returns an ``int`` of the total number of blocking fouls the player committed. """ return self._blocking_fouls @_int_property_decorator def offensive_fouls(self): """ Returns an ``int`` of the total number of offensive fouls the player committed. """ return self._offensive_fouls @_int_property_decorator def take_fouls(self): """ Returns an ``int`` of the total number of take fouls the player committed by taking a foul before the offensive player has a chance to make a shooting motion. """ return self._take_fouls @_int_property_decorator def points_generated_by_assists(self): """ Returns an ``int`` of the total number of points the player generated as a result of him assisting the shooter. """ return self._points_generated_by_assists @_int_property_decorator def shooting_fouls_drawn(self): """ Returns an ``int`` of the total number of shooting fouls the player drew during the season. """ return self._shooting_fouls_drawn @_int_property_decorator def and_ones(self): """ Returns an ``int`` of the total number of times the player was fouled in the act of shooting and made the basket. """ return self._and_ones @_int_property_decorator def shots_blocked(self): """ Returns an ``int`` of the total number of shots the player took that were blocked by an opposing player. """ return self._shots_blocked @_int_property_decorator def salary(self): """ Returns an ``int`` of the player's annual salary rounded down. """ return self._salary @property def contract(self): """ Returns a ``dictionary`` of the player's contract details where the key is a ``string`` of the season, such as '2018-19', and the value is a ``string`` of the salary, such as '$40,000,000'. """ return self._contract
[docs]class Roster: """ Get stats for all players on a roster. Request a team's roster for a given season and create instances of the Player class for each player, containing a detailed list of the players statistics and information. Parameters ---------- team : string The team's 3-letter abbreviation, such as 'HOU' for the Houston Rockets. year : string (optional) The 4-digit year to pull the roster from, such as '2018'. If left blank, defaults to the most recent season. slim : boolean (optional) Set to True to return a limited subset of player information including the name and player ID for each player as opposed to all of their respective stats which greatly reduces the time to return a response if just the names and IDs are desired. Defaults to False. """ def __init__(self, team, year=None, slim=False): self._team = team self._slim = slim if slim: self._players = {} else: self._players = [] self._find_players(year) def _pull_team_page(self, url): """ Download the team page. Download the requested team's season page and create a PyQuery object. Parameters ---------- url : string A string of the built URL for the requested team and season. Returns ------- PyQuery object Returns a PyQuery object of the team's HTML page. """ try: return pq(url) except HTTPError: return None def _create_url(self, year): """ Build the team URL. Build a URL given a team's 3-letter abbreviation and the 4-digit year. Parameters ---------- year : string The 4-digit string representing the year to pull the team's roster from. Returns ------- string Returns a string of the team's season page for the requested team and year. """ return ROSTER_URL % (self._team.upper(), year) def _get_id(self, player): """ Parse the player ID. Given a PyQuery object representing a single player on the team roster, parse the player ID and return it as a string. Parameters ---------- player : PyQuery object A PyQuery object representing the player information from the roster table. Returns ------- string Returns a string of the player ID. """ name_tag = player('td[data-stat="player"] a') name = re.sub(r'.*/players/./', '', str(name_tag)) return re.sub(r'\.html.*', '', name) def _get_name(self, player): """ Parse the player's name. Given a PyQuery object representing a single player on the team roster, parse the player ID and return it as a string. Parameters ---------- player : PyQuery object A PyQuery object representing the player information from the roster table. Returns ------- string Returns a string of the player's name. """ name_tag = player('td[data-stat="player"] a') return name_tag.text() def _find_players(self, year): """ Find all player IDs for the requested team. For the requested team and year (if applicable), pull the roster table and parse the player ID for all players on the roster and create an instance of the Player class for the player. All player instances are added to the 'players' property to get all stats for all players on a team. Parameters ---------- year : string The 4-digit string representing the year to pull the team's roster from. """ if not year: year = utils._find_year_for_season('nba') # If stats for the requested season do not exist yet (as is the # case right before a new season begins), attempt to pull the # previous year's stats. If it exists, use the previous year # instead. if not utils._url_exists(self._create_url(year)) and \ utils._url_exists(self._create_url(str(int(year) - 1))): year = str(int(year) - 1) url = self._create_url(year) page = self._pull_team_page(url) if not page: output = ("Can't pull requested team page. Ensure the following " "URL exists: %s" % url) raise ValueError(output) players = page('table#roster tbody tr').items() for player in players: player_id = self._get_id(player) if not player_id or player_id == '': continue # pragma: no cover if self._slim: name = self._get_name(player) self._players[player_id] = name else: player_instance = Player(player_id) self._players.append(player_instance) @property def players(self): """ Returns a ``list`` of player instances for each player on the requested team's roster if the ``slim`` property is False when calling the Roster class. If the ``slim`` property is True, returns a ``dictionary`` where each key is a string of the player's ID and each value is the player's first and last name as listed on the roster page. """ return self._players