Errors when there are no drawdowns about quantstats HOT 5 CLOSED

No drawdowns??! 😀

Fixed in 0.0.16 ...

from quantstats.

Thank you for the quick fix.
It actually seems like there is one more obscure scenario. In stats.drawdown_details() we could have an ever-increasing series which means it starts with a drawdown but there is no ends so it fails with an IndexError.

# drawdown series begins in a drawdown
if starts[0] > ends[0]:  # <-- ends could be empty
       starts.insert(0, drawdown.index[0])

I wish I had such strategies but in reality I am using your library to calculate incremental results as live trading goes on so in the beginning such scenarios can occur.

from quantstats.

Let me know if 0.0.17 fixed the issue

from quantstats.

The error happened with new version. I tried to compare the portfolio with deposit without any drawdowns and i got next:
ValueError: cannot convert float NaN to integer

from quantstats.

Getting the same error:

Traceback (most recent call last):
  File "test.py", line 269, in <module>
    qs.reports.html(returns['net_worth'], benchmark, output=os.path.join(projectDir, 'report.html'))
  File "/home/athena/anaconda3/envs/unicorn/lib/python3.8/site-packages/quantstats/reports.py", line 58, in html
    mtrx = metrics(returns=returns, benchmark=benchmark,
  File "/home/athena/anaconda3/envs/unicorn/lib/python3.8/site-packages/quantstats/reports.py", line 299, in metrics
    dd = _calc_dd(df, display=(display or "internal" in kwargs))
  File "/home/athena/anaconda3/envs/unicorn/lib/python3.8/site-packages/quantstats/reports.py", line 587, in _calc_dd
    'Longest DD Days': str(round(bench_dd.sort_values(
ValueError: cannot convert float NaN to integer

Using quantstats 0.0.25, pandas 1.0.3

from quantstats.