Closed
Description
Modin version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest released version of Modin.
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I have confirmed this bug exists on the main branch of Modin. (In order to do this you can follow this guide.)
Reproducible Example
import numpy as np
import modin.pandas as pd
df = pd.DataFrame([[np.nan, 2, np.nan, 0],
[3, 4, np.nan, 1],
[np.nan, np.nan, np.nan, np.nan],
[np.nan, 3, np.nan, 4]],
columns=list("ABCD"))
pdf = df._to_pandas()
pdf.fillna(0, inplace=True)
# ValueError: putmask: output array is read-only
Issue Description
The error happens when operating a pandas df.
Expected Behavior
There shouldn't be an issue. The error probably happens after #4778 is merged. We should also check if to_numpy gives no error when operating a numpy array inplace after converting from modin.
cc @anmyachev
Error Logs
Replace this line with the error backtrace (if applicable).
Installed Versions
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