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Fix deprecation warnings from pandas 1.3.0

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closes #5251
This commit is contained in:
Matthias 2021-07-09 20:46:38 +02:00
parent 2f33b97b95
commit 6129c5ca9e
4 changed files with 6 additions and 5 deletions
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2
freqtrade/optimize/hyperopt_tools.py
View File

@ -75,7 +75,7 @@ class HyperoptTools():
if fn:
HyperoptTools.export_params(params, strategy_name, fn.with_suffix('.json'))
else:
logger.warn("Strategy not found, not exporting parameter file.")
logger.warning("Strategy not found, not exporting parameter file.")
@staticmethod
def has_space(config: Dict[str, Any], space: str) -> bool:

5
freqtrade/optimize/optimize_reports.py
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@ -325,8 +325,9 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame],
key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
worst_pair = min([pair for pair in pair_results if pair['key'] != 'TOTAL'],
key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
results['open_timestamp'] = results['open_date'].astype(int64) // 1e6
results['close_timestamp'] = results['close_date'].astype(int64) // 1e6
if not results.empty:
results['open_timestamp'] = results['open_date'].view(int64) // 1e6
results['close_timestamp'] = results['close_date'].view(int64) // 1e6
backtest_days = (max_date - min_date).days
strat_stats = {

2
freqtrade/plugins/pairlist/OffsetFilter.py
View File

@ -48,7 +48,7 @@ class OffsetFilter(IPairList):
"""
if self._offset > len(pairlist):
self.log_once(f"Offset of {self._offset} is larger than " +
f"pair count of {len(pairlist)}", logger.warn)
f"pair count of {len(pairlist)}", logger.warning)
pairs = pairlist[self._offset:]
self.log_once(f"Searching {len(pairs)} pairs: {pairs}", logger.info)
return pairs

2
freqtrade/rpc/rpc.py
View File

@ -761,7 +761,7 @@ class RPC:
sell_signals = 0
if has_content:
dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].view(int64) // 1000 // 1000
# Move open to seperate column when signal for easy plotting
if 'buy' in dataframe.columns:
buy_mask = (dataframe['buy'] == 1)