richtia opened a new issue, #9950:
URL: https://github.com/apache/arrow-datafusion/issues/9950
### Describe the bug
Converting a dataframe into a python list, makes the result a higher
precision (float32 to float64)
### To Reproduce
```
import datafusion
import pyarrow as pa
ctx = datafusion.SessionContext()
batch = pa.RecordBatch.from_arrays([pa.array([2.55], pa.float32())],
names=['arg0'])
ctx.register_record_batches("my_table", [[batch]])
expr = 'SELECT abs(arg0) FROM my_table;'
ctx.sql(expr)
DataFrame()
+--------------------+
| abs(my_table.arg0) |
+--------------------+
| 2.55 |
+--------------------+
ctx.sql(expr).collect()[0].columns[0].to_pylist()
[2.549999952316284]
```
### Expected behavior
My expectation was that I should still get 2.55
### Additional context
Seems like the python standard float is a C double
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