Don't fail on invalid parameter
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@ -140,14 +140,16 @@ def _do_group_table_output(bigdf, glist):
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# 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
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# 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
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if g == "4":
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if g == "4":
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group_mask = ['pair', 'enter_reason', 'exit_reason']
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group_mask = ['pair', 'enter_reason', 'exit_reason']
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if group_mask:
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new = bigdf.groupby(group_mask).agg(agg_mask).reset_index()
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new.columns = group_mask + agg_cols
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new['median_profit_pct'] = new['median_profit_pct'] * 100
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new['mean_profit_pct'] = new['mean_profit_pct'] * 100
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new['total_profit_pct'] = new['total_profit_pct'] * 100
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new = bigdf.groupby(group_mask).agg(agg_mask).reset_index()
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_print_table(new, sortcols)
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new.columns = group_mask + agg_cols
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else:
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new['median_profit_pct'] = new['median_profit_pct'] * 100
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logger.warning("Invalid group mask specified.")
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new['mean_profit_pct'] = new['mean_profit_pct'] * 100
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new['total_profit_pct'] = new['total_profit_pct'] * 100
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_print_table(new, sortcols)
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def _print_results(analysed_trades, stratname, analysis_groups,
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def _print_results(analysed_trades, stratname, analysis_groups,
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