Package: get-nba-data
# IntroductionEasy way to webscrape and gather data from NBA statistics website (url: http://stats.nba.com/stats/)It is by no means complete yet. Still building methods on top of the main API.Only works in Python 3.# API Details## InstallationThis project is available on [PyPi](https://pypi.python.org/pypi/get_nba_data).To install```pip install get_nba_data```## API Methods* `advanced_stats.get_data()` #without parametersfetches advanced_stats for all players* `advanced_stats.get_data(college="washington", position="forward")` #with parameters,fetches advanced_stats for University of Washington forwards* `category_leaders.get_data()` #without parameters,fetches advanced_stats for all players* `category_leaders.get_data(stat_cat = "assists")` #with parameters,fetches data sorted by counts of assists for all players## API Method Parameters for advanced_statsParameters for advanced stats SHOULD match what's being shown here: http://stats.nba.com/players/advanced/#!?sort=PIE&dir=-1.Parameter inputs are NOT case-sensitive.You will see a shit ton of parameters right below. You do not HAVE to specify all of them.Not setting the parameter defaults it to include ALL data for the given parameter.* `season_type`: Str season_type.  Represents the type of season. e.g. "regular season".* `season`: Str season.  Represents the season. e.g. "2016-17".* `season_segment`: Str season_segment.  Represents the type of season segment. e.g. "entire season".* `position`: Str position.  Represents the type of position e.g. "guard".* `starter_bench`: Str starter_bench.  Starters or bench players? . e.g. "bench".* `experience`: Str experience.  Represents the experience. e.g. "veteran", "rookie", "sophomore".* `draft_year`: Str or int draft_year.  Represents the year players were drafted. e.g. "2016", 2016.* `draft_pick`: Str draft_pick.  Represents the rounds players were drafted in. e.g. "1st round".* `college`: Str college.  Represents the name of the college. e.g. "washington".* `country`: Str country.  Represents the name of the country. e.g. "latvia".* `weight`: Str weight.  Represents the thresholds for weight. e.g. ">300".* `height`: Str height.  Represents the type of season. e.g. "regular season".* `team`: Str team.  Represents the team name excluding the location name. e.g. "timberwolves".* `opponent`: Str opponent.  Represents the team name excluding the location name. e.g. "warriors".* `division`: Str division.  Represents the name of the division. e.g. "pacific".* `vs_division`: Str vs_divsion.  Represents the name of the opponent division. e.g. "atlantic".* `conference`: Str conference.  Represents the name of the conference. e.g. "west".* `vs_conference`: Str vs_conference.  Represents the name of the opponent conference. e.g. "east".* `outcome`: Str outcome.  Represents the outcome of the games. e.g. "wins".* `location`: Str location.  Represents the type of Home/Away games. e.g. "home", "away".* `shot_clock_range`: Str shot_clock_range.  Represents the range of the shot clock. e.g. "24-22".* `quarter`: Str or int quarter.  Represents the type of the quarter. e.g. "1st quarter", "OT1".* `by_half`: Str by_half.  Represents the type of half. e.g. "first half", "overtime".* `playoff_round`: Str playoff_round.  Represents the type of the playoff round. e.g. "conference quarter finals", "finals".* `n_games`: Str or int n_games.  Represents the number of games. e.g. "15", 15. #not sure what the range on this is.## API Method Parameters for category_leadersParameters for category_leaders SHOULD match what's being shown here: http://stats.nba.com/leaders.Parameter inputs are NOT case-sensitive.You will see a shit ton of parameters right below. You do not HAVE to specify all of them.Not setting the parameter defaults it to include ALL data for the given parameter.* `season_type`: Str season_type.  Represents the type of season. e.g. "regular season".* `season`: Str season.  Represents the season. e.g. "2016-17".* `per_mode`: Str per_mode.  Represents the per mode. e.g. "per 48 minutes".* `stat_cat`: Str stat_cat.  Represents the statistical category. e.g. "steals".## Example Usage### Get advanced stats data tables for heavy and light former Duke players```pythonfrom get_nba_data import advanced_statsdef get_fat_duke_players():advanced = advanced_stats()fatties = advanced.get_data(college="duke", weight=">250")return fattiesdef get_skinny_duke_players():advanced = advanced_stats()sticks = advanced.get_data(college="duke", weight="<200")return sticks#Or... simplyadvanced = advanced_stats()fatties = advanced.get_data(college="duke", weight=">250")sticks = advanced.get_data(college="duke", weight="<200")```### Get category leaders data tables sorted by assists and points per 48 minutes```pythonfrom get_nba_data import category_leadersdef get_leaders_assists():leaders = category_leaders()assist_leaders = leaders(stat_cat="assists", per_mode="per 48 minutes")return assist_leadersdef get_leaders_points():leaders = category_leaders()points_leaders = leaders(stat_cat="points", per_mode="per 48 minutes")return points_leaders#Or... simplyleaders = category_leaders()assist_leaders = leaders(stat_cat="assists", per_mode="per 48 minutes")points_leaders = leaders(stat_cat="points", per_mode="per 48 minutes")```Platform: UNKNOWN