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use bracket notation for dataframe access

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This commit is contained in:
Matthias 2020-06-07 15:30:41 +02:00
parent 68395d2745
commit a75b94f143
1 changed files with 15 additions and 15 deletions
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30
freqtrade/optimize/optimize_reports.py
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@ -65,25 +65,25 @@ def _generate_result_line(result: DataFrame, max_open_trades: int, first_column:
"""
return {
'key': first_column,
'trades': len(result.index),
'profit_mean': result.profit_percent.mean(),
'profit_mean_pct': result.profit_percent.mean() * 100.0,
'profit_sum': result.profit_percent.sum(),
'profit_sum_pct': result.profit_percent.sum() * 100.0,
'profit_total_abs': result.profit_abs.sum(),
'profit_total_pct': result.profit_percent.sum() * 100.0 / max_open_trades,
'trades': len(result),
'profit_mean': result['profit_percent'].mean(),
'profit_mean_pct': result['profit_percent'].mean() * 100.0,
'profit_sum': result['profit_percent'].sum(),
'profit_sum_pct': result['profit_percent'].sum() * 100.0,
'profit_total_abs': result['profit_abs'].sum(),
'profit_total_pct': result['profit_percent'].sum() * 100.0 / max_open_trades,
'duration_avg': str(timedelta(
minutes=round(result.trade_duration.mean()))
minutes=round(result['trade_duration'].mean()))
) if not result.empty else '0:00',
# 'duration_max': str(timedelta(
# minutes=round(result.trade_duration.max()))
# minutes=round(result['trade_duration'].max()))
# ) if not result.empty else '0:00',
# 'duration_min': str(timedelta(
# minutes=round(result.trade_duration.min()))
# minutes=round(result['trade_duration'].min()))
# ) if not result.empty else '0:00',
'wins': len(result[result.profit_abs > 0]),
'draws': len(result[result.profit_abs == 0]),
'losses': len(result[result.profit_abs < 0]),
'wins': len(result[result['profit_abs'] > 0]),
'draws': len(result[result['profit_abs'] == 0]),
'losses': len(result[result['profit_abs'] < 0]),
}
@ -102,8 +102,8 @@ def generate_pair_metrics(data: Dict[str, Dict], stake_currency: str, max_open_t
tabular_data = []
for pair in data:
result = results[results.pair == pair]
if skip_nan and result.profit_abs.isnull().all():
result = results[results['pair'] == pair]
if skip_nan and result['profit_abs'].isnull().all():
continue
tabular_data.append(_generate_result_line(result, max_open_trades, pair))