MCRE-BE opened a new issue, #42119:
URL: https://github.com/apache/arrow/issues/42119
### Describe the usage question you have. Please include as many useful
details as possible.
Maybe a dumb question, but I don't see why it doesn't work.
I need a way to create a dynamic filter based on input.
This code runs fine
```python
compute_expression = [pc.field(col).isin(d[col].unique().tolist()) for col
in subset]
compute_expression = functools.reduce(operator.and_, compute_expression)
compute_expression = pc.invert(compute_expression)
temp = pd.read_parquet(file_name, filters=compute_expression)
```
The following code produces an error :
```python
compute_expression = [pc.field(col).isin(d[col].unique().tolist()) for col
in subset]
compute_expression = functools.reduce(pc.and_, compute_expression)
compute_expression = pc.invert(compute_expression)
temp = pd.read_parquet(file_name, filters=compute_expression)
> ArrowKeyError: No function registered with name: and_
```
The expression looks like this :
```python
<pyarrow.compute.Expression invert(and_(is_in(Promo Year, {value_set=int64:[
2024
], null_matching_behavior=MATCH}), is_in(Promo Week, {value_set=int64:[
2,
3,
4, ...], null_matching_behavior=MATCH})))>
```
### Component(s)
Python
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