@property<EOL><INDENT>def dataframe(self):<DEDENT>
fields_to_include = {<EOL>'<STR_LIT>': self.assists,<EOL>'<STR_LIT>': self.at_bats,<EOL>'<STR_LIT>': self.average_leverage_index,<EOL>'<STR_LIT>':<EOL>self.average_leverage_index_pitcher,<EOL>'<STR_LIT>': self.bases_on_balls,<EOL>'<STR_LIT>': self.bases_on_balls_given,<EOL>'<STR_LIT>': self.base_out_runs_added,<EOL>'<STR_LIT>': self.base_out_runs_saved,<EOL>'<STR_LIT>': self.batters_faced,<EOL>'<STR_LIT>': self.batting_average,<EOL>'<STR_LIT>': self.earned_runs_allowed,<EOL>'<STR_LIT>': self.earned_runs_against,<EOL>'<STR_LIT>': self.fly_balls,<EOL>'<STR_LIT>': self.game_score,<EOL>'<STR_LIT>': self.grounded_balls,<EOL>'<STR_LIT>': self.hits,<EOL>'<STR_LIT>': self.hits_allowed,<EOL>'<STR_LIT>': self.home_runs_thrown,<EOL>'<STR_LIT>': self.inherited_runners,<EOL>'<STR_LIT>': self.inherited_score,<EOL>'<STR_LIT>': self.innings_pitched,<EOL>'<STR_LIT>': self.line_drives,<EOL>'<STR_LIT:name>': self.name,<EOL>'<STR_LIT>': self.on_base_percentage,<EOL>'<STR_LIT>':<EOL>self.on_base_plus_slugging_percentage,<EOL>'<STR_LIT>': self.pitches_thrown,<EOL>'<STR_LIT>': self.plate_appearances,<EOL>'<STR_LIT>': self.putouts,<EOL>'<STR_LIT>': self.runs,<EOL>'<STR_LIT>': self.runs_allowed,<EOL>'<STR_LIT>': self.runs_batted_in,<EOL>'<STR_LIT>': self.slugging_percentage,<EOL>'<STR_LIT>': self.strikes,<EOL>'<STR_LIT>': self.strikes_contact,<EOL>'<STR_LIT>': self.strikes_looking,<EOL>'<STR_LIT>': self.strikes_swinging,<EOL>'<STR_LIT>': self.strikes_thrown,<EOL>'<STR_LIT>': self.strikeouts,<EOL>'<STR_LIT>': self.times_struck_out,<EOL>'<STR_LIT>': self.unknown_bat_types,<EOL>'<STR_LIT>': self.win_probability_added,<EOL>'<STR_LIT>':<EOL>self.win_probability_added_pitcher,<EOL>'<STR_LIT>':<EOL>self.win_probability_for_offensive_player,<EOL>'<STR_LIT>': self.win_probability_subtracted<EOL>}<EOL>return pd.DataFrame([fields_to_include], index=[self._player_id])<EOL>
Returns a ``pandas DataFrame`` containing all other relevant class
properties and values for the specified game.