index_offsets = pd.tseries.frequencies.to_offset('1MS') time_marker = pd.Timestamp('2020/01/02 1:59') period = pd.Period(time_marker, freq = index_offsets.freqstr)

Traceback (most recent call last): File "pandas/_libs/tslibs/period.pyx", line 2436, in pandas._libs.tslibs.period.freq_to_dtype_code AttributeError: 'pandas._libs.tslibs.offsets.MonthBegin' object has no attribute '_period_dtype_code' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<ipython-input-63-c78e6c74b47c>", line 1, in <module> period = pd.Period(time_marker, freq = index_offsets.freqstr) File "pandas/_libs/tslibs/period.pyx", line 2422, in pandas._libs.tslibs.period.Period.__new__ File "pandas/_libs/tslibs/period.pyx", line 2438, in pandas._libs.tslibs.period.freq_to_dtype_code ValueError: Invalid frequency: {0}

INSTALLED VERSIONS ------------------ commit : db08276bc116c438d3fdee492026f8223584c477 python : 3.8.5.final.0 python-bits : 64 OS : Linux OS-release : 5.4.0-58-generic Version : #64-Ubuntu SMP Wed Dec 9 08:16:25 UTC 2020 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : fr_FR.UTF-8 LOCALE : fr_FR.UTF-8 pandas : 1.1.3 numpy : 1.19.2 pytz : 2020.1 dateutil : 2.8.1 pip : 20.2.4 setuptools : 50.3.1.post20201107 Cython : 0.29.21 pytest : 6.1.1 hypothesis : None sphinx : 3.2.1 blosc : None feather : None xlsxwriter : 1.3.7 lxml.etree : 4.6.1 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 2.11.2 IPython : 7.19.0 pandas_datareader: None bs4 : 4.9.3 bottleneck : 1.3.2 fsspec : 0.8.3 fastparquet : 0.4.2 gcsfs : None matplotlib : 3.3.2 numexpr : 2.7.1 odfpy : None openpyxl : 3.0.5 pandas_gbq : None pyarrow : None pytables : None pyxlsb : None s3fs : None scipy : 1.5.2 sqlalchemy : 1.3.20 tables : 3.6.1 tabulate : None xarray : None xlrd : 1.2.0 xlwt : 1.3.0 numba : 0.51.2