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Tidy up complex functions
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@ -152,9 +152,30 @@ def _do_group_table_output(bigdf, glist):
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logger.warning("Invalid group mask specified.")
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def _select_rows_within_dates(df, date_start=None, date_end=None):
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if (date_start is not None):
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df = df.loc[(df['date'] >= date_start)]
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if (date_end is not None):
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df = df.loc[(df['date'] < date_end)]
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return df
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def _select_rows_by_entry_exit_tags(df, enter_reason_list, exit_reason_list):
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if enter_reason_list and "all" not in enter_reason_list:
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df = df.loc[(df['enter_reason'].isin(enter_reason_list))]
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if exit_reason_list and "all" not in exit_reason_list:
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df = df.loc[(df['exit_reason'].isin(exit_reason_list))]
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return df
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def _print_results(analysed_trades, stratname, analysis_groups,
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enter_reason_list, exit_reason_list,
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indicator_list, columns=None):
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indicator_list, columns=None,
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date_start=None, date_end=None):
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if columns is None:
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columns = ['pair', 'open_date', 'close_date', 'profit_abs', 'enter_reason', 'exit_reason']
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@ -162,15 +183,13 @@ def _print_results(analysed_trades, stratname, analysis_groups,
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for pair, trades in analysed_trades[stratname].items():
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bigdf = pd.concat([bigdf, trades], ignore_index=True)
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bigdf = _select_rows_within_dates(bigdf, date_start, date_end)
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if bigdf.shape[0] > 0 and ('enter_reason' in bigdf.columns):
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if analysis_groups:
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_do_group_table_output(bigdf, analysis_groups)
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if enter_reason_list and "all" not in enter_reason_list:
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bigdf = bigdf.loc[(bigdf['enter_reason'].isin(enter_reason_list))]
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if exit_reason_list and "all" not in exit_reason_list:
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bigdf = bigdf.loc[(bigdf['exit_reason'].isin(exit_reason_list))]
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bigdf = _select_rows_by_entry_exit_tags(bigdf, enter_reason_list, exit_reason_list)
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if "all" in indicator_list:
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print(bigdf)
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