model.biplot() error when pd.options.mode.copy_on_write = True

[FlorinAndrei]

Python 3.11.4 Pandas 2.0.3 pca 2.0.3

Code:

from sklearn.datasets import load_wine
import pandas as pd
from pca import pca

pd.options.mode.copy_on_write = True

data = load_wine()
df = pd.DataFrame(index=data.target, data=data.data, columns=data.feature_names)
model = pca(normalize=True, detect_outliers=['ht2', 'spe'], n_std=2)
results = model.fit_transform(df)

model.biplot(SPE=False, HT2=True, density=True)

Results:

ValueError: assignment destination is read-only

Fixed code (no errors):

pd.options.mode.copy_on_write = False
model.biplot(SPE=False, HT2=True, density=True)
pd.options.mode.copy_on_write = True

[erdogant]

Thank you for mentioning this! I have not seen this error before. Does this happen because your machine (or server) does not have writing rights to disk?

[FlorinAndrei]

No, there are several libraries impacted by this bug. Perhaps your library is just triggering it in a downstream library, I'm not sure.

Anyway, pd.options.mode.copy_on_write = True seems to trigger some kind of bug in Seaborn and other libs. I am simply reporting it where I see it. Copy on write is a very useful feature, recently introduced in Pandas, and I would prefer to be able to keep it enabled without having issues with various libraries out there.

[erdogant]

Good to know! Thanks!