def std_dev_points(self, **kwargs):
"""
Return score variance
"""
if not self._points:
self.get_points()
return MathUtils.std(self._points)
def get_context_data(self, **kwargs):
context = super(PlayerDetail, self).get_context_data(**kwargs)
player = context['object']
stat_list = player.stats.all()
stat_keys = filter(lambda x: x not in ['50', '51', '52', '53', '54', '55', '56', '57'], stat_list[0].stat_data.keys())
columns = filter(lambda x: x[0] in stat_keys, STATS.items())
stat_headers = [ stat_item[1][0] for stat_item in columns ]
stat_headers.insert(0, 'Week #')
stat_headers.append('Points')
context['stat_headers'] = stat_headers
context['stat_list'] = []
column_lists = { key: [] for key, value in columns }
for stat in stat_list:
if int(player.bye_week) == stat.week_num:
continue
total_points = stat.total_points()
stat_week = []
stat_week.append(stat.week_num)
for key, value in columns:
stat_week.append(stat.stat_data[key])
column_lists[key].append(stat.stat_data[key])
stat_week.append(total_points)
context['stat_list'].append(stat_week)
avg_stats = ['Avg']
for key, value in columns:
avg_str = "%.1f ± %.1f" % (
MathUtils.mean(column_lists[key]),
MathUtils.std(column_lists[key]),
)
avg_stats.append(avg_str)
avg_stats.append(player.mean_points())
context['stat_list'].append(avg_stats)
points = player.get_points()
context['stat_rows'] = [
("Total Points", player._season_points()),
("Geometric Mean", player.gmean_points()),
("Arithmetic Mean", player.mean_points()),
("Std Dev", player.std_dev_points()),
("Median", player.median_points()),
("Floor", player.floor_points()),
("Ceiling", player.ceiling_points()),
("Games Played", player.games_played()),
("Risk Factor", '%.2f%%' % player.risk_factor()),
]
context['page_title'] = '%s %s Detail' % (player.first_name, player.last_name)
return context
