Properly check emptyness and adjust floatfmt

This commit is contained in:
Matthias 2018-07-19 13:14:21 +02:00
parent 79b1030435
commit aa69177436

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@ -88,7 +88,7 @@ class Backtesting(object):
"""
stake_currency = str(self.config.get('stake_currency'))
floatfmt = ('s', 'd', '.2f', '.2f', '.8f', '.1f', '.1f', '.1f')
floatfmt = ('s', 'd', '.2f', '.2f', '.8f', 'd', '.1f', '.1f')
tabular_data = []
headers = ['pair', 'buy count', 'avg profit %', 'cum profit %',
'total profit ' + stake_currency, 'avg duration', 'profit', 'loss']
@ -101,7 +101,7 @@ class Backtesting(object):
result.profit_percent.sum() * 100.0,
result.profit_abs.sum(),
str(timedelta(
minutes=round(result.trade_duration.mean()))) if len(result) else 'nan',
minutes=round(result.trade_duration.mean()))) if not result.empty else '0:00',
len(result[result.profit_abs > 0]),
len(result[result.profit_abs < 0])
])
@ -114,7 +114,7 @@ class Backtesting(object):
results.profit_percent.sum() * 100.0,
results.profit_abs.sum(),
str(timedelta(
minutes=round(results.trade_duration.mean()))) if len(results) else 'nan',
minutes=round(results.trade_duration.mean()))) if not results.empty else '0:00',
len(results[results.profit_abs > 0]),
len(results[results.profit_abs < 0])
])