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Fix exception in plotting when no trades where generated 

as seen in #4981
This commit is contained in:
Matthias 2021-05-22 17:03:16 +02:00
parent feb836eaf6
commit a7bd8b0aa5
2 changed files with 33 additions and 27 deletions
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4
freqtrade/data/btanalysis.py
View File

@ -156,6 +156,7 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
data = data['strategy'][strategy]['trades'] data = data['strategy'][strategy]['trades']
df = pd.DataFrame(data) df = pd.DataFrame(data)
if not df.empty:
df['open_date'] = pd.to_datetime(df['open_date'], df['open_date'] = pd.to_datetime(df['open_date'],
utc=True, utc=True,
infer_datetime_format=True infer_datetime_format=True
@ -167,7 +168,7 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
else: else:
# old format - only with lists. # old format - only with lists.
df = pd.DataFrame(data, columns=BT_DATA_COLUMNS_OLD) df = pd.DataFrame(data, columns=BT_DATA_COLUMNS_OLD)
if not df.empty:
df['open_date'] = pd.to_datetime(df['open_date'], df['open_date'] = pd.to_datetime(df['open_date'],
unit='s', unit='s',
utc=True, utc=True,
@ -180,6 +181,7 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
) )
# Create compatibility with new format # Create compatibility with new format
df['profit_abs'] = df['close_rate'] - df['open_rate'] df['profit_abs'] = df['close_rate'] - df['open_rate']
if not df.empty:
if 'profit_ratio' not in df.columns: if 'profit_ratio' not in df.columns:
df['profit_ratio'] = df['profit_percent'] df['profit_ratio'] = df['profit_percent']
df = df.sort_values("open_date").reset_index(drop=True) df = df.sort_values("open_date").reset_index(drop=True)

4
freqtrade/plot/plotting.py
View File

@ -77,6 +77,7 @@ def init_plotscript(config, markets: List, startup_candles: int = 0):
) )
except ValueError as e: except ValueError as e:
raise OperationalException(e) from e raise OperationalException(e) from e
if not trades.empty:
trades = trim_dataframe(trades, timerange, 'open_date') trades = trim_dataframe(trades, timerange, 'open_date')
return {"ohlcv": data, return {"ohlcv": data,
@ -540,8 +541,11 @@ def load_and_plot_trades(config: Dict[str, Any]):
df_analyzed = strategy.analyze_ticker(data, {'pair': pair}) df_analyzed = strategy.analyze_ticker(data, {'pair': pair})
df_analyzed = trim_dataframe(df_analyzed, timerange) df_analyzed = trim_dataframe(df_analyzed, timerange)
if not trades.empty:
trades_pair = trades.loc[trades['pair'] == pair] trades_pair = trades.loc[trades['pair'] == pair]
trades_pair = extract_trades_of_period(df_analyzed, trades_pair) trades_pair = extract_trades_of_period(df_analyzed, trades_pair)
else:
trades_pair = trades
fig = generate_candlestick_graph( fig = generate_candlestick_graph(
pair=pair, pair=pair,