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chore: Replace np.NAN with np.nan

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properly implements what #10402 tried to do.
This commit is contained in:
Matthias
2024-07-05 07:46:27 +02:00
parent 53043d1978
commit ab0fd461ed
1 changed files with 11 additions and 11 deletions
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22
freqtrade/rpc/rpc.py
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@@ -11,7 +11,7 @@ from typing import Any, Dict, Generator, List, Optional, Sequence, Tuple, Union
import psutil
from dateutil.relativedelta import relativedelta
from dateutil.tz import tzlocal
from numpy import NAN, inf, int64, mean
from numpy import inf, int64, mean, nan
from pandas import DataFrame, NaT
from sqlalchemy import func, select
@@ -204,9 +204,9 @@ class RPC:
trade.pair, side="exit", is_short=trade.is_short, refresh=False
)
except (ExchangeError, PricingError):
current_rate = NAN
current_rate = nan
if len(trade.select_filled_orders(trade.entry_side)) > 0:
current_profit = current_profit_abs = current_profit_fiat = NAN
current_profit = current_profit_abs = current_profit_fiat = nan
if not isnan(current_rate):
prof = trade.calculate_profit(current_rate)
current_profit = prof.profit_ratio
@@ -277,7 +277,7 @@ class RPC:
raise RPCException("no active trade")
else:
trades_list = []
fiat_profit_sum = NAN
fiat_profit_sum = nan
for trade in trades:
# calculate profit and send message to user
try:
@@ -285,9 +285,9 @@ class RPC:
trade.pair, side="exit", is_short=trade.is_short, refresh=False
)
except (PricingError, ExchangeError):
current_rate = NAN
trade_profit = NAN
profit_str = f"{NAN:.2%}"
current_rate = nan
trade_profit = nan
profit_str = f"{nan:.2%}"
else:
if trade.nr_of_successful_entries > 0:
profit = trade.calculate_profit(current_rate)
@@ -533,9 +533,9 @@ class RPC:
trade.pair, side="exit", is_short=trade.is_short, refresh=False
)
except (PricingError, ExchangeError):
current_rate = NAN
profit_ratio = NAN
profit_abs = NAN
current_rate = nan
profit_ratio = nan
profit_abs = nan
else:
_profit = trade.calculate_profit(trade.close_rate or current_rate)
@@ -1317,7 +1317,7 @@ class RPC:
# replace NaT with `None`
dataframe[date_column] = dataframe[date_column].astype(object).replace({NaT: None})
dataframe = dataframe.replace({inf: None, -inf: None, NAN: None})
dataframe = dataframe.replace({inf: None, -inf: None, nan: None})
res = {
"pair": pair,