Piping pandas with pandera schema doesn't raise SchemaError ( python 3.11.9 )
RevengeComing opened this issue · comments
Describe the bug
On the newly released python version ( 3.11.9 ) pandas.DataFrame.pipe with pandera schema validation doesn't work as expected.
Honestly, I don't know if it is Pandas' error or Pandera's.
- [*] I have checked that this issue has not already been reported.
- [*] I have confirmed this bug exists on the latest version of pandera.
- (optional) I have confirmed this bug exists on the master branch of pandera.
Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
from datetime import date, timedelta
import pandas as pd
import pandera as pa
from pandera.typing import DateTime, Series
class TestSchema(pa.SchemaModel):
date_field: Series[DateTime] = pa.Field(coerce=True)
str_field: Series[str] = pa.Field()
int_field: Series[int] = pa.Field(ge=0, coerce=True)
df = pd.DataFrame.from_dict(
{
"date_field": [
date.today(),
date.today() - timedelta(days=1),
date.today() - timedelta(days=2),
],
"str_field": ["1", "2", "3"],
}
)
# expecting pa.errors.SchemaError
df = df.pipe(pa.typing.DataFrame[TestSchema])Expected behavior
I am expecting df.pipe(pa.typing.DataFrame[TestSchema]) to raise pa.errors.SchemaError.
Desktop (please complete the following information):
- OS: MacOS [e.g. iOS]
- Pandera version: tried it with 0.18.3 and 0.11.0
- Python version: 3.11.9 ( It's working fine with 3.11.8 )
