Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

BUG: regression for 1.3.0: saving a dataframe with the "pickle" package using pandas 1.2.5 would not open with "pickle" again with pandas 1.3.0

See original GitHub issue

I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.

Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

I created a notebook here to illustrate the issue

https://colab.research.google.com/drive/1por9_BTeLYvZxNzLOBv_jIsFh44mnz4N?usp=sharing

Main error message:

/usr/local/lib/python3.7/dist-packages/pandas/_libs/internals.pyx in pandas._libs.internals.BlockManager.__cinit__()

TypeError: __cinit__() takes at least 2 positional arguments (0 given)

Problem description

Dataframes saved with pandas 1.2.5 and “pickle” are no longer loadable with pandas 1.3.0

Related to #42343

Expected Output

Output of `pd.show_versions()`

INSTALLED VERSIONS

commit : f00ed8f47020034e752baf0250483053340971b0 python : 3.7.10.final.0 python-bits : 64 OS : Linux OS-release : 5.4.104+ Version : #1 SMP Sat Jun 5 09:50:34 PDT 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.3.0 numpy : 1.19.5 pytz : 2018.9 dateutil : 2.8.1 pip : 19.3.1 setuptools : 57.0.0 Cython : 0.29.23 pytest : 3.6.4 hypothesis : None sphinx : 1.8.5 blosc : None feather : 0.4.1 xlsxwriter : None lxml.etree : 4.2.6 html5lib : 1.0.1 pymysql : None psycopg2 : 2.7.6.1 (dt dec pq3 ext lo64) jinja2 : 2.11.3 IPython : 5.5.0 pandas_datareader: 0.9.0 bs4 : 4.6.3 bottleneck : 1.3.2 fsspec : None fastparquet : None gcsfs : None matplotlib : 3.2.2 numexpr : 2.7.3 odfpy : None openpyxl : 2.5.9 pandas_gbq : 0.13.3 pyarrow : 3.0.0 pyxlsb : None s3fs : None scipy : 1.4.1 sqlalchemy : 1.4.18 tables : 3.4.4 tabulate : 0.8.9 xarray : 0.18.2 xlrd : 1.1.0 xlwt : 1.3.0 numba : 0.51.2