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https://issues.apache.org/jira/browse/ARROW-16495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17534162#comment-17534162
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Alenka Frim commented on ARROW-16495:
-------------------------------------
I wasn't able to reproduce. Running locally on latest master I get the
following (which is the correct behaviour):
{code:python}
>>> import pandas as pd
>>> import pyarrow.dataset as ds
>>> df = pd.DataFrame({"C": pd.array([None, None, 1], dtype=pd.Int64Dtype())})
>>> df
C
0 <NA>
1 <NA>
2 1
>>> df.to_parquet("test.pq")
# Create a dataset
>>> dataset = ds.dataset("test.pq")
>>> fragments = [f for f in dataset.get_fragments()]
# One fragment
>>> fragments
[<pyarrow.dataset.ParquetFileFragment path=test.pq>]
>>> expr = ds.field("C").is_null()
>>> scanner = fragment.scanner(filter=expr)
>>> scanner.count_rows()
2
{code}
> [Python] Scanner.count_rows() doesn't properly handle null expressions
> ----------------------------------------------------------------------
>
> Key: ARROW-16495
> URL: https://issues.apache.org/jira/browse/ARROW-16495
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 7.0.0
> Reporter: Nick Riasanovsky
> Priority: Major
>
> Passing an expression filter with `is_null()` doesn't properly remove null
> values, when computing row counts. I have reproduced this with both strings
> and integer. Here is a reproducer.
>
>
>
> {code:java}
> df = pd.DataFrame({"C": pd.array([None, None, 1], dtype=pd.Int64Dtype())})
> print(df)
> df.to_parquet("test.pq")
>
> # Create a dataset
> dataset = ds.dataset("test.pq")
> fragments = [f for f in dataset.get_fragments()]
> #There should just be 1 fragment.
> fragment = fragments[0]
> # Get the null row count
> expr = ds.field("C").is_null()
> scanner = fragment.scanner(filter=expr)
> print(scanner.count_rows())
> {code}
>
>
> I expect this print 2 as there are 2 NULL values.
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