BUG: Pandas-1.3.4 (and1.3.2, and 1.3.1) do not work well with seaborn-0.11.2 on PyPy-3.7-7.3.7 , but pandas-1.2.5 does

[stonebig]

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

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the master branch of pandas.

Reproducible Example

with pypy3.7-v7.3.7-win64.zip and wheels provided per cgohlke:

• the following example works with seaborn-0.11.2 (and 0.11.1) and Pandas-1.2.5,
• but fails with Pandas-1.3.1, 1.3.2 and latest 1.3.4

import seaborn as sns
sns.set()
df = sns.load_dataset("iris")
sns.pairplot(df, hue="species", height=1.5)

Issue Description

jupyterlab kernel crashes and restarts,

• a pandas_libs.parser.TextReader is blamed, but PyPy says "invalid usage of a dying CPython object"
• looking at seaborn code, seaborn is just calling pandas , so doesn't seem guilty of anything apparently
  compatibility with PyPy-3.7-7.3.7 mwaskom/seaborn#2688

https://github.com/mwaskom/seaborn/blob/master/seaborn/utils.py#L586

Expected Behavior

a typical seaborn graph, (when pandas-1.2.5)

also this pure pandas one works

import pandas as pd
df = pd.read_csv('~/seaborn-data/iris.csv',index_col=False)

import pandas as pd
import altair as alt

alt.Chart(df).mark_bar().encode(
    x=alt.X('sepal_length', bin=alt.Bin(maxbins=50)),
    y='count(*):Q',
    color='species:N',
    #column='species',
).interactive()

Installed Versions

INSTALLED VERSIONS

commit : 945c9ed
python : 3.7.12.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19043
machine : AMD64
processor : Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 1.3.4
numpy : 1.21.3
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 58.3.0
Cython : 0.29.24
pytest : 6.2.5
hypothesis : 6.24.0
sphinx : 4.2.0
blosc : 1.10.6
feather : None
xlsxwriter : 3.0.1
lxml.etree : 4.6.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.2
IPython : 7.29.0
pandas_datareader: 0.10.0
bs4 : 4.10.0
bottleneck : 1.3.2
fsspec : 2021.10.1
fastparquet : None
gcsfs : None
matplotlib : 3.4.3
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.7.1
sqlalchemy : 1.4.26
tables : None
tabulate : 0.8.9
xarray : 0.19.0
xlrd : None
xlwt : None
numba : None

[lithomas1]

Thanks for reporting this. We have 0 testing on PyPy unfortunately(adding that testing is in a separate issue, and last time I checked we had a ton of segfaults/test failures). However, if you can find a patch for this, we would be happy to take it.