ValueError: Invalid frequency: ME when using qs.reports.html

[tampaguy2012]

I'm encountering a ValueError: Invalid frequency: ME when using the qs.reports.html function. This error seems to be generated internally within the library, even when I provide a valid integer value for the periods_per_year argument.

Steps to Reproduce

Import libraries

import pandas as pd
import quantstats_lumi as qs

Create Sample Data

dates = pd.date_range('2023-05-01', periods=10)
portfolio_data = [1.02, 0.98, 1.05, 1.01, 1.03, 0.97, 0.99, 1.06, 1.0, 0.99]
benchmark_data = [1.01, 0.99, 1.03, 1.02, 1.06, 0.96, 0.98, 1.05, 0.98, 1.0]

portfolio = pd.Series(portfolio_data, index=dates, name="Port")
bench = pd.Series(benchmark_data, index=dates, name='SPY')

Attempt to generate the report:

qs.reports.html(portfolio, benchmark=bench, output='test_output.html', periods_per_year=365)

The above code produces the following traceback (shortened for clarity):

ValueError: Invalid frequency: ME

[tampaguy2012]

I've tried the following troubleshooting steps:

• Ensuring the periods_per_year argument is a valid integer.
• Restarting my runtime environment.
• Inspecting my code for any potential sources of the "ME" string.

[grzesir]

You have an old version of pandas, make sure that you upgrade to the latest version Robert Grzesik 347-635-3416

…

On Tue, May 7, 2024 at 7:16 PM tampaguy2012 ***@***.***> wrote: I've tried the following troubleshooting steps: - Ensuring the periods_per_year argument is a valid integer. - Restarting my runtime environment. - Inspecting my code for any potential sources of the "ME" string. — Reply to this email directly, view it on GitHub <#32 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAIYQK4E7OQSUUZSMNXLV23ZBFODZAVCNFSM6AAAAABHL4IQISVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJZGQ3DANRVGE> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[bibib2211]

I have the same issue, have verified that the error occurs even with the latest version of pandas. Pandas documentation https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets suggests these are the frequency strings that should be in use, not sure what is going on.