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@ -49,7 +49,7 @@ class PerformanceFilter(IPairList):
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# Skip performance-based sorting if no performance data is available
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if len(performance) == 0:
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return pairlist
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# Get pairlist from performance dataframe values
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list_df = pd.DataFrame({'pair': pairlist})
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@ -60,7 +60,7 @@ class PerformanceFilter(IPairList):
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# - then pair name alphametically
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sorted_df = list_df.merge(performance, on='pair', how='left')\
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.fillna(0).sort_values(by=['count', 'pair'], ascending=True)\
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.sort_values(by=['profit'], ascending=False)
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.sort_values(by=['profit'], ascending=False)
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pairlist = sorted_df['pair'].tolist()
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return pairlist
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