get-nba-data 1.1.0
easy tool to load nba data with
License: MIT

        
        # Introduction
        Easy 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
        
        ## Installation
        
        This 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 parameters
                                        fetches 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_stats
        Parameters 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_leaders
        Parameters 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
        
        ```python
        from get_nba_data import advanced_stats
        
        
        def get_fat_duke_players():
            advanced = advanced_stats()
            fatties = advanced.get_data(college="duke", weight=">250")
            return fatties
        
        
        def get_skinny_duke_players():
            advanced = advanced_stats()
            sticks = advanced.get_data(college="duke", weight="<200")
            return sticks
        
        #Or... simply
        advanced = 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
        
        ```python
        from get_nba_data import category_leaders
        
        
        def get_leaders_assists():
            leaders = category_leaders()
            assist_leaders = leaders(stat_cat="assists", per_mode="per 48 minutes")
            return assist_leaders
        
        
        def get_leaders_points():
            leaders = category_leaders()
            points_leaders = leaders(stat_cat="points", per_mode="per 48 minutes")
            return points_leaders
        
        #Or... simply
        leaders = 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