Pandas: BUG: Load data frame pickled under pandas 1.0.5 using pandas 1.1.0

[mariosum]

• [x] I have checked that this issue has not already been reported.

• [x] 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

'''
Have pandas 1.0.5 installed.
'''


#%% import libs;
import numpy as np
import pandas as pd
import time
import datetime
import pickle

#%% do;
df0 = pd.DataFrame(
                    {
                        'sdtr3mm':      [datetime.datetime.now()],
                        'count1':       [1]
                    }
                 )
df0['month_year'] = df0['sdtr3mm'].dt.to_period('M')
df0['year'] = df0['sdtr3mm'].dt.to_period('Y')
with open("Z:/test.data", "wb") as filehandle:
    pickle.dump(df0, filehandle)

'''
Update to pandas           : 1.1.0
'''


with open("Z:/test.data", "rb") as filehandle:
    df1 = pickle.load(filehandle)

test.zip (zipped data frame, pickled under pandas 1.0.5)

Problem description

I pickled a dataframe, containing a datetime variable, an integer, a pandas-month-year, panda-year variable, under pandas 1.0.5 to my disk.
After the update to pandas 1.1.0, I can no longer load it, receiving an "TypeError: Expected tuple, got dict",
with:

Traceback (most recent call last):

  File "<ipython-input-5-fa4170ff1942>", line 2, in <module>
    df1 = pickle.load(filehandle)

  File "stringsource", line 17, in pandas._libs.tslibs.period.PeriodMixin.__setstate_cython__

Creating a data frame as above under pandas 1.1.0 and trying to load it in under pandas 1.0.5 does not work either.

* Update:
Also does not work using pd.read_pickle either.

I am sorry if this is the wrong place and/or the wrong way to post my issue.

Expected Output

Load in the data frame created as in the code above.

Output of pd.show_versions()

[paste the output of pd.show_versions() here leaving a blank line after the details tag]

INSTALLED VERSIONS

commit : None
python : 3.7.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en
LOCALE : None.None

pandas : 1.0.5
numpy : 1.19.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.1
setuptools : 49.2.1.post20200807
Cython : None
pytest : None
hypothesis : None
sphinx : 3.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.17.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.2.2
numexpr : None
odfpy : None
openpyxl : 3.0.4
pandas_gbq : None
pyarrow : None
pytables : None
pytest : None
pyxlsb : None
s3fs : None
scipy : 1.5.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : None
numba : None

[jreback]

use pd.read_pickle and this will just work

pickle itself does not provide the compatibility that is needed

but the pandas loaded does

this is also in the docs

[mariosum]

Thank you.
It does not, had tried this also.

  File "stringsource", line 17, in pandas._libs.tslibs.period.PeriodMixin.__setstate_cython__

TypeError: Expected tuple, got dict

[apsurek]

I am experiencing the same issue on pandas=1.1.1. I created my pickle with pandas=0.24.1 and am unable to read it using pd.read_pickle() with 1.1.1, getting the error:

File "stringsource", line 17, in pandas._libs.tslibs.period.PeriodMixin.__setstate_cython__
TypeError: Expected tuple, got dict

Downgrading to pandas=1.0.5 solved my issue, but this is still a bug. Is there a way this issue could be re-opened?

[mariosum]

Thank you for bringing this up -
I were to second that, I still experiencing the issue from above, too.