svjack commented on issue #9172:
URL: https://github.com/apache/arrow/issues/9172#issuecomment-766881382
> Can you provide a reproducible example?
>
> The following small example works for me:
>
> ```
> In [43]: df = pd.DataFrame({"a": pd.date_range("2012-01-01", periods=10,
freq="D")})
>
> In [44]: df.to_parquet("test_filter_datetimes.parquet")
>
> In [45]: import pyarrow.parquet as pq
>
> In [46]: pq.read_table("test_filter_datetimes.parquet").to_pandas()
> Out[46]:
> a
> 0 2012-01-01
> 1 2012-01-02
> 2 2012-01-03
> 3 2012-01-04
> 4 2012-01-05
> 5 2012-01-06
> 6 2012-01-07
> 7 2012-01-08
> 8 2012-01-09
> 9 2012-01-10
>
> In [47]: pq.read_table("test_filter_datetimes.parquet", filters=[("a",
">", pd.Timestamp("2012-01-05"))]).to_pandas()
> Out[47]:
> a
> 0 2012-01-06
> 1 2012-01-07
> 2 2012-01-08
> 3 2012-01-09
> 4 2012-01-10
> ```
if you save df to parquet partition by a, is it also works ?
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