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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 #42345
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Facing the same issue: My build made on 6th Feb 2021 passes with the same code. |
I am also encountering this issue! |
Same here. Got the same error after updating to pandas 1.3 and reading data frames written with pickle and pandas 1.2.4. After downgrading back to 1.2.4, I could read the old data frames using pickle again. |
Same here |
same here. works with |
I am facing the same issue. I managed to make it work with |
Same here. Works with |
I replace |
…2.x #42345 (#42416) Co-authored-by: jbrockmendel <[email protected]>
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:
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 : f00ed8f
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
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