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pl.read_parquet
0.15.4
0.15.5
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of Polars.
The example from #2654 breaks again on 0.15.5 and 0.15.5. This last worked with 0.15.2.
ArrowErrorException: OutOfSpec("validity mask length must match the number of values")
import pandas as pd df_temp = pd.DataFrame( { "a": [ "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", "V", None, None, None, None, None, None, ] } ) df_temp.to_parquet("a.parquet", index=False) import polars as pl pl.read_parquet("a.parquet")
No regression in parquet reader.
---Version info--- Polars: 0.15.5 Index type: UInt32 Platform: macOS-10.15.7-x86_64-i386-64bit Python: 3.8.12 (default, Oct 18 2021, 20:31:01) [Clang 10.0.1 (clang-1001.0.46.4)] ---Optional dependencies--- pyarrow: 10.0.0 pandas: 1.4.4 numpy: 1.21.5 fsspec: 2022.01.0 connectorx: 0.3.0 xlsx2csv: <not installed> matplotlib: 3.6.2
The text was updated successfully, but these errors were encountered:
fixed in #5797 will patch tonight.
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Polars version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of Polars.
Issue description
The example from #2654 breaks again on 0.15.5 and 0.15.5. This last worked with 0.15.2.
Reproducible example
Expected behavior
No regression in parquet reader.
Installed versions
The text was updated successfully, but these errors were encountered: