backtest does not work with talib on SMA for Volume

[abdel-ely-ds]

Expected behavior

This code should work fine.

Code sample

self.vol20 = self.I(talib.SMA, self.data.Volume, 20)
 self.vol50 = self.I(talib.SMA, self.data.Volume, 50)
 raise RuntimeError(f'Indicator "{name}" errored with exception: {e}')
    131 if isinstance(value, pd.DataFrame):
    132     value = value.values.T

RuntimeError: Indicator "SMA(V,20)" errored with exception: input array type is not double

Actual behavior

But I get the error above when I write it on GOOG

Additional info, steps to reproduce, full crash traceback, screenshots

No response

Software versions

• backtesting.__version__: 0.3.3
• pandas.__version__: 2.3.3
• numpy.__version__: 1.24.3
• talib.__version__: 0.6.7
• OS: windows

[kernc]

In our GOOG.csv file, Volume seems to be an integer. You can fix your issue by casting Volume to a dtype your strategy expects (i.e. df = df.astype(float)) before running the backtest.