PySpark schema fail with strict="filter" and coerce=True

[gfilaci]

Describe the bug

It is not possible to define PySpark schemas with strict="filter" and coerce=True at the same time.
Using both flags results in "TypeError: schema arg must be a DataFrameSchema, found <class 'NoneType'>".
This happens because the check_obj.pandera.schema attribute is lost after dropping columns
https://github.com/unionai-oss/pandera/blob/main/pandera/backends/pyspark/container.py#L394

• 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 main branch of pandera.

Code Sample, a copy-pastable example

from pandera.api.base.schema import BaseSchema
from pandera.pyspark import DataFrameModel
from pyspark.sql import SparkSession


class Model(DataFrameModel):
    class Config(BaseSchema):
        strict = "filter"
        coerce = True

    x: str

spark = SparkSession.builder.getOrCreate()
Model.validate(spark.createDataFrame([(1, 2), (3, 4)], ["x", "y"]))

Expected behavior

No error.

[gfilaci]

I have opened #2032 to fix.