use bracket notation for dataframe access
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@ -65,25 +65,25 @@ def _generate_result_line(result: DataFrame, max_open_trades: int, first_column:
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"""
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"""
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return {
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return {
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'key': first_column,
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'key': first_column,
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'trades': len(result.index),
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'trades': len(result),
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'profit_mean': result.profit_percent.mean(),
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'profit_mean': result['profit_percent'].mean(),
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'profit_mean_pct': result.profit_percent.mean() * 100.0,
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'profit_mean_pct': result['profit_percent'].mean() * 100.0,
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'profit_sum': result.profit_percent.sum(),
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'profit_sum': result['profit_percent'].sum(),
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'profit_sum_pct': result.profit_percent.sum() * 100.0,
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'profit_sum_pct': result['profit_percent'].sum() * 100.0,
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'profit_total_abs': result.profit_abs.sum(),
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'profit_total_abs': result['profit_abs'].sum(),
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'profit_total_pct': result.profit_percent.sum() * 100.0 / max_open_trades,
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'profit_total_pct': result['profit_percent'].sum() * 100.0 / max_open_trades,
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'duration_avg': str(timedelta(
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'duration_avg': str(timedelta(
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minutes=round(result.trade_duration.mean()))
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minutes=round(result['trade_duration'].mean()))
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) if not result.empty else '0:00',
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) if not result.empty else '0:00',
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# 'duration_max': str(timedelta(
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# 'duration_max': str(timedelta(
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# minutes=round(result.trade_duration.max()))
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# minutes=round(result['trade_duration'].max()))
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# ) if not result.empty else '0:00',
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# ) if not result.empty else '0:00',
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# 'duration_min': str(timedelta(
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# 'duration_min': str(timedelta(
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# minutes=round(result.trade_duration.min()))
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# minutes=round(result['trade_duration'].min()))
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# ) if not result.empty else '0:00',
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# ) if not result.empty else '0:00',
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'wins': len(result[result.profit_abs > 0]),
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'wins': len(result[result['profit_abs'] > 0]),
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'draws': len(result[result.profit_abs == 0]),
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'draws': len(result[result['profit_abs'] == 0]),
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'losses': len(result[result.profit_abs < 0]),
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'losses': len(result[result['profit_abs'] < 0]),
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}
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}
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@ -102,8 +102,8 @@ def generate_pair_metrics(data: Dict[str, Dict], stake_currency: str, max_open_t
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tabular_data = []
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tabular_data = []
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for pair in data:
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for pair in data:
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result = results[results.pair == pair]
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result = results[results['pair'] == pair]
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if skip_nan and result.profit_abs.isnull().all():
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if skip_nan and result['profit_abs'].isnull().all():
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continue
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continue
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tabular_data.append(_generate_result_line(result, max_open_trades, pair))
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tabular_data.append(_generate_result_line(result, max_open_trades, pair))
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