Fix numpy warning

This commit is contained in:
Matthias 2019-08-11 13:46:32 +02:00
parent 5209ce5bfa
commit 1a85e3b4cd
1 changed files with 8 additions and 7 deletions

View File

@ -10,7 +10,7 @@ from typing import Dict, Any, List, Optional
import arrow
import sqlalchemy as sql
from numpy import mean, nan_to_num, NAN
from numpy import mean, NAN
from pandas import DataFrame
from freqtrade import TemporaryError, DependencyException
@ -195,9 +195,9 @@ class RPC(object):
trades = Trade.query.order_by(Trade.id).all()
profit_all_coin = []
profit_all_percent = []
profit_all_perc = []
profit_closed_coin = []
profit_closed_percent = []
profit_closed_perc = []
durations = []
for trade in trades:
@ -211,7 +211,7 @@ class RPC(object):
if not trade.is_open:
profit_percent = trade.calc_profit_percent()
profit_closed_coin.append(trade.calc_profit())
profit_closed_percent.append(profit_percent)
profit_closed_perc.append(profit_percent)
else:
# Get current rate
try:
@ -223,7 +223,7 @@ class RPC(object):
profit_all_coin.append(
trade.calc_profit(rate=Decimal(trade.close_rate or current_rate))
)
profit_all_percent.append(profit_percent)
profit_all_perc.append(profit_percent)
best_pair = Trade.session.query(
Trade.pair, sql.func.sum(Trade.close_profit).label('profit_sum')
@ -238,7 +238,8 @@ class RPC(object):
# Prepare data to display
profit_closed_coin_sum = round(sum(profit_closed_coin), 8)
profit_closed_percent = round(nan_to_num(mean(profit_closed_percent)) * 100, 2)
profit_closed_percent = (round(mean(profit_closed_perc) * 100, 2) if profit_closed_perc
else 0.0)
profit_closed_fiat = self._fiat_converter.convert_amount(
profit_closed_coin_sum,
stake_currency,
@ -246,7 +247,7 @@ class RPC(object):
) if self._fiat_converter else 0
profit_all_coin_sum = round(sum(profit_all_coin), 8)
profit_all_percent = round(nan_to_num(mean(profit_all_percent)) * 100, 2)
profit_all_percent = round(mean(profit_all_perc) * 100, 2) if profit_all_perc else 0.0
profit_all_fiat = self._fiat_converter.convert_amount(
profit_all_coin_sum,
stake_currency,