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Pad wins / draws / losses for hyperopt with spaces instead of 0's

This commit is contained in:
Matthias 2020-09-19 17:32:22 +02:00
parent 3fe2ed0e18
commit f0d7f18cf9
2 changed files with 5 additions and 4 deletions
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7
freqtrade/optimize/hyperopt.py
View File

@ -324,8 +324,9 @@ class Hyperopt:
'results_metrics.avg_profit', 'results_metrics.total_profit',
'results_metrics.profit', 'results_metrics.duration',
'loss', 'is_initial_point', 'is_best']]
trials.columns = ['Best', 'Epoch', 'Trades', 'W/D/L', 'Avg profit', 'Total profit',
'Profit', 'Avg duration', 'Objective', 'is_initial_point', 'is_best']
trials.columns = ['Best', 'Epoch', 'Trades', ' Win Draw Loss', 'Avg profit',
'Total profit', 'Profit', 'Avg duration', 'Objective',
'is_initial_point', 'is_best']
trials['is_profit'] = False
trials.loc[trials['is_initial_point'], 'Best'] = '* '
trials.loc[trials['is_best'], 'Best'] = 'Best'
@ -574,7 +575,7 @@ class Hyperopt:
'wins': wins,
'draws': draws,
'losses': losses,
'winsdrawslosses': f"{wins:04}/{draws:04}/{losses:04}",
'winsdrawslosses': f"{wins:>4} {draws:>4} {losses:>4}",
'avg_profit': backtesting_results.profit_percent.mean() * 100.0,
'median_profit': backtesting_results.profit_percent.median() * 100.0,
'total_profit': backtesting_results.profit_abs.sum(),

2
tests/optimize/test_hyperopt.py
View File

@ -813,7 +813,7 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'draws': 0,
'duration': 100.0,
'losses': 0,
'winsdrawslosses': '0001/0000/0000',
'winsdrawslosses': ' 1 0 0',
'median_profit': 2.3117,
'profit': 2.3117,
'total_profit': 0.000233,