adelorenzo/stable
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Move trim_dataframe from history to converter

Browse Source
This commit is contained in:
Matthias
2019-12-25 15:47:04 +01:00
parent 9d8ea2f13b
commit 416517b0c9
8 changed files with 73 additions and 77 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
freqtrade/optimize/backtesting.py
View File

@@ -16,6 +16,7 @@ from freqtrade import OperationalException
from freqtrade.configuration import (TimeRange, remove_credentials,
validate_config_consistency)
from freqtrade.data import history
from freqtrade.data.converter import trim_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
from freqtrade.misc import file_dump_json
@@ -482,7 +483,7 @@ class Backtesting:
# Trim startup period from analyzed dataframe
for pair, df in preprocessed.items():
preprocessed[pair] = history.trim_dataframe(df, timerange)
preprocessed[pair] = trim_dataframe(df, timerange)
min_date, max_date = history.get_timerange(preprocessed)
logger.info(

3
freqtrade/optimize/hyperopt.py
View File

@@ -23,7 +23,8 @@ from joblib import (Parallel, cpu_count, delayed, dump, load,
from pandas import DataFrame
from freqtrade import OperationalException
from freqtrade.data.history import get_timerange, trim_dataframe
from freqtrade.data.history import get_timerange
from freqtrade.data.converter import trim_dataframe
from freqtrade.misc import plural, round_dict
from freqtrade.optimize.backtesting import Backtesting
# Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules