Add test cases
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@@ -45,10 +45,10 @@ class PerformanceFilter(IPairList):
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"""
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# Get the trading performance for pairs from database
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perf = pd.DataFrame(Trade.get_overall_performance())
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# update pairlist with values from performance dataframe
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# get pairlist from performance dataframe values
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list_df = pd.DataFrame({'pair':pairlist})
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# set initial value for pairs with no trades to 0
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# and sort the list using performance and count
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list_df = pd.DataFrame({'pair':pairlist})
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sorted_df = list_df.join(perf.set_index('pair'), on='pair')\
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.fillna(0).sort_values(by=['profit', 'count'], ascending=False)
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pairlist = sorted_df['pair'].tolist()
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