jorisvandenbossche commented on issue #37853:
URL: https://github.com/apache/arrow/issues/37853#issuecomment-1733422017
Yes, so it's the different encoding that makes fastparquet fail:
```
In [5]: df = pd.DataFrame({"col": [True, False, True]})
In [8]: df.to_parquet("test_bool_pa14_plain.parquet", engine="pyarrow",
column_encoding={"col": "PLAIN"}, use_dictionary=False)
In [9]: df.to_parquet("test_bool_pa14_rle.parquet", engine="pyarrow",
column_encoding={"col": "RLE"}, use_dictionary=False)
In [10]: pd.read_parquet("test_bool_pa14_plain.parquet",
engine="fastparquet")
Out[10]:
col
0 True
1 False
2 True
In [11]: pd.read_parquet("test_bool_pa14_rle.parquet", engine="fastparquet")
Out[11]:
col
0 False
1 False
2 False
```
This is getting a bit off-topic for this issue, but maybe that's a good
argument to actually _do_ run those tests on our CI, then we would have noticed
this compat issue earlier.
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