def plotDerivedGains( runs, gainIds, costIncrement ):
sessid = str(runs[0].get_session_id())
for gainId in gainIds:
yValueLists = [
(FiguresConfig.avgPlotName, stats.get_average_derived_gains_at_total_rank_range( gainId, runs ) ),
('top50%', stats.get_average_top_derived_gains_at_total_rank_range( runs, gainId, proportion = 50 ) ),
('bottom50%', stats.get_average_top_derived_gains_at_total_rank_range( runs, gainId, proportion = 50, bottom= True ) ),
('avg +1SD', stats.get_avg_derived_gain_plusSD_at_total_rank_range( gainId, runs ) ),
('avg -1SD', stats.get_avg_derived_gain_plusSD_at_total_rank_range( gainId, runs, -1 ) )
]
defaultPlot( 'rank', gainId, stats.get_max_rank_range( runs ), yValueLists,
stats.get_amount_of_runs_at_total_rank_range(runs), get_filename(gainId + 'AtRank', runs))
yValueLists = [
(FiguresConfig.avgPlotName, stats.get_average_derived_gains_at_cost_range( gainId, runs, costIncrement ) ),
('top50%', stats.get_average_top_derived_gains_at_cost_range( runs, gainId, costIncrement, proportion = 50 ) ),
('bottom50%', stats.get_average_top_derived_gains_at_cost_range( runs, gainId, costIncrement, proportion = 50, bottom = True ) ),
('avg +1SD', stats.get_avg_derived_gain_plusSD_at_cost_range( gainId, runs, costIncrement ) ),
('avg -1SD', stats.get_avg_derived_gain_plusSD_at_cost_range( gainId, runs, costIncrement, -1 ) )
]
defaultPlot( 'cost', gainId, stats.get_max_cost_range( runs, costIncrement ), yValueLists,
stats.get_amount_of_runs_at_cost_range(runs, costIncrement),
get_filename( gainId + 'AtCost', runs ) )
def plotGainsAtCost(runs, costIncrement):
sessid = str(runs[0].get_session_id())
yValueLists = [
(FiguresConfig.avgPlotName,
stats.get_average_cumulated_gains_at_cost_range(runs, costIncrement)),
('top50%',
stats.get_average_top_cumulated_gains_at_cost_range(runs,
costIncrement,
proportion=50)),
('bottom50%',
stats.get_average_top_cumulated_gains_at_cost_range(runs,
costIncrement,
proportion=50,
bottom=True)),
('avg +1SD',
stats.get_avg_cumulated_gain_plusSD_at_cost_range(
runs, costIncrement)),
('avg -1SD',
stats.get_avg_cumulated_gain_plusSD_at_cost_range(
runs, costIncrement, -1))
]
defaultPlot('cost', 'cg', stats.get_max_cost_range(runs, costIncrement),
yValueLists,
stats.get_amount_of_runs_at_cost_range(runs, costIncrement),
get_filename('gainAtCost', runs))
def plotDerivedGains(runs, gainIds, costIncrement):
sessid = str(runs[0].get_session_id())
for gainId in gainIds:
yValueLists = [
(FiguresConfig.avgPlotName,
stats.get_average_derived_gains_at_total_rank_range(gainId,
runs)),
('top50%',
stats.get_average_top_derived_gains_at_total_rank_range(
runs, gainId, proportion=50)),
('bottom50%',
stats.get_average_top_derived_gains_at_total_rank_range(
runs, gainId, proportion=50, bottom=True)),
('avg +1SD',
stats.get_avg_derived_gain_plusSD_at_total_rank_range(
gainId, runs)),
('avg -1SD',
stats.get_avg_derived_gain_plusSD_at_total_rank_range(
gainId, runs, -1))
]
defaultPlot('rank', gainId, stats.get_max_rank_range(runs),
yValueLists,
stats.get_amount_of_runs_at_total_rank_range(runs),
get_filename(gainId + 'AtRank', runs))
yValueLists = [
(FiguresConfig.avgPlotName,
stats.get_average_derived_gains_at_cost_range(
gainId, runs, costIncrement)),
('top50%',
stats.get_average_top_derived_gains_at_cost_range(runs,
gainId,
costIncrement,
proportion=50)),
('bottom50%',
stats.get_average_top_derived_gains_at_cost_range(runs,
gainId,
costIncrement,
proportion=50,
bottom=True)),
('avg +1SD',
stats.get_avg_derived_gain_plusSD_at_cost_range(
gainId, runs, costIncrement)),
('avg -1SD',
stats.get_avg_derived_gain_plusSD_at_cost_range(
gainId, runs, costIncrement, -1))
]
defaultPlot(
'cost', gainId, stats.get_max_cost_range(runs, costIncrement),
yValueLists,
stats.get_amount_of_runs_at_cost_range(runs, costIncrement),
get_filename(gainId + 'AtCost', runs))
def plotGainsAtCost( runs, costIncrement ):
sessid = str(runs[0].get_session_id())
yValueLists = [
(FiguresConfig.avgPlotName, stats.get_average_cumulated_gains_at_cost_range( runs, costIncrement ) ),
('top50%', stats.get_average_top_cumulated_gains_at_cost_range( runs, costIncrement, proportion = 50 ) ),
('bottom50%', stats.get_average_top_cumulated_gains_at_cost_range( runs, costIncrement, proportion = 50, bottom = True ) ),
('avg +1SD', stats.get_avg_cumulated_gain_plusSD_at_cost_range( runs, costIncrement ) ),
('avg -1SD', stats.get_avg_cumulated_gain_plusSD_at_cost_range( runs, costIncrement, -1 ) )
]
defaultPlot( 'cost', 'cg', stats.get_max_cost_range( runs, costIncrement ), yValueLists,
stats.get_amount_of_runs_at_cost_range(runs, costIncrement), get_filename('gainAtCost', runs))
