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proever avatar proever commented on September 20, 2024

partitioning only on "ticker" causes the issue too, I just checked

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proever avatar proever commented on September 20, 2024

pq.ParquetDataset(dataset_path).read().to_pandas() works fine as well

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proever avatar proever commented on September 20, 2024

this seems fixed in 1.0, at least with the following changes:

from datetime import datetime
from pathlib import Path

import polars as pl

dataset_path = Path("./test_dataset")
dataset_path.mkdir(exist_ok=True)

test_df = (
    pl.DataFrame(
        {
            "timestamp": [datetime(2021, 1, 1), datetime(2022, 2, 1)],
            "data": [1, 2],
            "ticker": ["AAPL", "TRUE"],
        }
    )
    .with_columns(pl.col("ticker").cast(pl.Enum(["AAPL", "TRUE"])))
    .with_columns(
        pl.col("timestamp").dt.year().alias("year"), pl.col("timestamp").dt.month().alias("month")
    )
)

test_df.write_parquet(
    dataset_path, use_pyarrow=True, pyarrow_options={"partition_cols": ["ticker", "year", "month"]}
)

df_in = pl.scan_parquet(dataset_path, hive_partitioning=True)

print(df_in.filter(pl.col("ticker") == "AAPL").collect())

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