Arnaudno opened a new issue, #45598: URL: https://github.com/apache/arrow/issues/45598
### Describe the bug, including details regarding any error messages, version, and platform. Hello, with the following example : ``` import pyarrow as pa import pyarrow.parquet as pq import pyarrow.compute as pc import pandas as pd df = pd.DataFrame({'date' : pd.date_range(start = pd.to_datetime('2025-02-01'),end = pd.to_datetime('2025-02-20'))}) df.to_parquet('dates.parquet') timestamp_filter = pd.Timestamp('2025-02-18') string_filter = str(timestamp_filter) ``` **'=' works with the Timestamp but not the string :** ``` In: filtered_df = pq.read_table( source = 'dates.parquet', filters = [('date','=',timestamp_filter)] ) print(filtered_df) Out: pyarrow.Table date: timestamp[ns] ---- date: [[2025-02-18 00:00:00.000000000]] In: filtered_df = pq.read_table( source = 'dates.parquet', filters = [('date','=',string_filter)] ) Out: ArrowNotImplementedError: Function 'equal' has no kernel matching input types (timestamp[ns], string) ``` **however 'in' works with both the Timestamp and the string :** ``` In: filtered_df = pq.read_table( source = 'dates.parquet', filters = [('date','in',[timestamp_filter])] ) print(filtered_df) Out: pyarrow.Table date: timestamp[ns] ---- date: [[2025-02-18 00:00:00.000000000]] In: filtered_df = pq.read_table( source = 'dates.parquet', filters = [('date','in',[string_filter])] ) print(filtered_df) Out: pyarrow.Table date: timestamp[ns] ---- date: [[2025-02-18 00:00:00.000000000]] ``` ``` print(pd.__version__) print(pa.__version__) 2.2.3 17.0.0 ``` My problem is that my filter is stored in JSON format (in a dash.store component https://dash.plotly.com/dash-core-components/store); which stringifies pd.Timestamp values. It would make it easier to manage if the single value operators '=' , '>', '<' could behave like the list like operators 'in' and 'not in'. Many thanks, Rgds ### Component(s) Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@arrow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org