make_index errors

[anthonypeters]

I am receiving this error after trying to create an index for my portfolio and benchmark. It prints the same error twice, after calling make_index twice.

"/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/quantstats/utils.py:384: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.
return index[index.index <= last_day].sum(axis=1)"

Not sure why, my dictionaries are below.

portDict = {'AAPL': 0.10550407310749187, 'AMZN': 0.010615496172090887, 'BABA': 0.006679181778882602, 'BLK': 0.00897167177359088, 'CAJ': 0.00898920398857846, 'CNC': 0.007540689462391915, 'CRM': 0.010331563818330985, 'CVS': 0.008521126287310492, 'DHI': 0.03669950236760933, 'FDX': 0.006670403743465143, 'GLTR': 0.08822203144788178, 'GS': 0.009874349685756421, 'HSY': 0.010871671469118072, 'IDA': 0.008723719512536487, 'INTC': 0.008262194127263551, 'JJC': 0.009586405317154701, 'JJU': 0.06909213449287513, 'JKS': 0.05891647581538697, 'JNJ': 0.008383517294887182, 'KSS': 0.007690547847922686, 'LMT': 0.008150094531350283, 'LOW': 0.01007320910372543, 'LUV': 0.007587603334351623, 'LVMUY': 0.007905491887385001, 'MBUU': 0.008201297544851166, 'MDLZ': 0.008096966848529012, 'MET': 0.009337536303672919, 'MP': 0.009152544978238503, 'MSFT': 0.11167660989902876, 'NKE': 0.010434237928427827, 'NNOX': 0.006329909064053818, 'NRZ': 0.009045750388792273, 'NSRGY': 0.008355968009014966, 'NTRS': 0.009130261781081877, 'ORCL': 0.010551943407616027, 'PFE': 0.008908203400424282, 'REGI': 0.07896282302567643, 'SJM': 0.007856983932577395, 'TCEHY': 0.007202435229467603, 'TLT': 0.023335896873631936, 'TSM': 0.09626778939678357, 'USL': 0.009799239582722002, 'V': 0.008524451978059731, 'VIRT': 0.007526714365132577, 'WMT': 0.018654191027867383, 'WSBF': 0.00878588666701207}

benchmarkDict = {'SPY': 0.8000150841498997, 'TLT': 0.022630540561564712, 'USCI': 0.16886517499360199, 'VNQ': 0.00848920029493363}

Both sum to 1.0.

This is my code:

qs.extend_pandas()

p1 = qs.utils.make_index(portDict)
b1 = qs.utils.make_index(benchmarkDict)

qs.reports.html(p1, b1, output='Rif_vs_bench.html')

Also, although the errors probably are not the cause of the issue, my html output looks like this:

I was wondering if you have ever seen this problem before, and if not, where maybe the cause of the error might be. I was assuming it had something to do with the long decimal percentages. When I use shorter decimals, it works fine. However, I do not understand why long decimals would limit/confuse functionality in this way.

Edit: After rounding the decimals to 4 places, it still outputs the same issue. Both benchmark and portfolio are plotting completely irrational values.

[anthonypeters]

The error exists in that it will only plot correctly if the "returns" parameter in qs.reports.html is a 1 dimensional data frame of dollar valued returns.