UnsupportedFunctionCall: numpy operations are not valid with resample. Use .resample(...).sum() instead

[Barkan97]

I ran the simple code below and got an error:
qs.reports.full(returns=equity_return, benchmark=benchmark_return, output='report.html', title='Strategy')
(with equity_return and benchmark_return being Series and timeframe M30)
and I get the following error:

Passing additional kwargs to DatetimeIndexResampler.sum has no impact on the result and is deprecated. This will raise a TypeError in a future version of pandas.

---

UnsupportedFunctionCall Traceback (most recent call last)
in <cell line: 4>()
2 benchmark_return = backtest.data['Close'].pct_change().fillna(0).resample('D').sum()
3 #qs.reports.html(equity_return, benchmark_return, output='report.html')
----> 4 qs.reports.full(returns=equity_return,
5 benchmark=benchmark_return,
6 output='report.html',

5 frames
/usr/local/lib/python3.10/dist-packages/pandas/compat/numpy/function.py in validate_resampler_func(method, args, kwargs)
374 if len(args) + len(kwargs) > 0:
375 if method in RESAMPLER_NUMPY_OPS:
--> 376 raise UnsupportedFunctionCall(
377 "numpy operations are not valid with resample. "
378 f"Use .resample(...).{method}() instead"

UnsupportedFunctionCall: numpy operations are not valid with resample. Use .resample(...).sum() instead

Please guide me how to fix it, thank you !!!

[devanshu125]

#377 (comment)

[Barkan97]

Tks bro, i got it !!!

[caihua]

It has been a long time,
the first time I used it,
I encountered such a problem,
so far have not run through helloworld

[caihua]

I downloaded the library code, and then based on
https://github.com/ranaroussi/quantstats/pull/375/files
https://github.com/bbalouki/quantstats/blob/bbs-dev/quantstats/_plotting/core.py
Line 292

  if resample:
       returns = returns.resample(resample).last() if compound else returns.resample(resample).sum()
       if isinstance(benchmark, _pd.Series):
           benchmark = benchmark.resample(resample).last() if compound else benchmark.resample(resample).sum()
           

Edit,
Then run it in your local library directory

pip install -e.

Then it worked