Error - Pandera Pyspark - Not able to do check for str_matches

[rovertttt]

Describe the bug
A clear and concise description of what the bug is.

• 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.

Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

import pandera.pyspark as pa
import pyspark.sql.types as T

from decimal import Decimal
from pyspark.sql import SparkSession
from pyspark.sql import DataFrame
from pandera.pyspark import DataFrameModel

spark = SparkSession.builder.getOrCreate()

class PanderaSchema(DataFrameModel):
    id: T.IntegerType() = pa.Field(gt=5)
    product_name: T.StringType() = pa.Field(str_matches="^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$")
    price: T.DecimalType(20, 5) = pa.Field()

data = [
    (5, "fgsdgmaill.com", Decimal(44.4)),
    (15, "gfasdhjkg@gmail.com", Decimal(99.0)),
]

spark_schema = T.StructType(
    [
        T.StructField("id", T.IntegerType(), False),
        T.StructField("product_name", T.StringType(), False),
        T.StructField("price", T.DecimalType(20, 5), False),
    ]
)
df = spark.createDataFrame(data, spark_schema)
df.show()

df_out = PanderaSchema.validate(check_obj=df)
df_out

import json

df_out_errors = df_out.pandera.errors
print(json.dumps(dict(df_out_errors), indent=4))

Expected behavior

Expected to give the error report for pyspark and show that i got a error when verifying the email string

Desktop (please complete the following information):

• OS: MacOS
• Browser: chrome
• Version: 142.0.7444.176 (Official Build) (arm64)

Screenshots

 "CHECK_ERROR": [
            {
                "schema": "PanderaSchema",
                "column": "product_name",
                "check": "str_matches('^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$')",
                "error": "Error while executing check function: KeyError(\"<class 'pandera.api.pyspark.types.PysparkDataframeColumnObject'>\")Traceback (most recent call last):  File \"/usr/local/lib/python3.11/site-packages/pandera/backends/pyspark/components.py\", line 132, in run_checks    self.run_check(  File \"/usr/local/lib/python3.11/site-packages/pandera/backends/pyspark/base.py\", line 82, in run_check    check_result = check(check_obj, *args)                   ^^^^^^^^^^^^^^^^^^^^^^^  File \"/usr/local/lib/python3.11/site-packages/pandera/api/checks.py\", line 237, in __call__    return backend(check_obj, column)           ^^^^^^^^^^^^^^^^^^^^^^^^^^  File \"/usr/local/lib/python3.11/site-packages/pandera/backends/pyspark/checks.py\", line 92, in __call__    check_output = self.apply(check_obj, key, self.check._check_kwargs)                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File \"/usr/local/lib/python3.11/site-packages/pandera/backends/pyspark/checks.py\", line 67, in apply    return self.check._check_fn(check_obj_and_col_name, **kwargs)           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File \"/usr/local/lib/python3.11/site-packages/pandera/api/function_dispatch.py\", line 24, in __call__    fn = self._function_registry[input_data_type]         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^KeyError: <class 'pandera.api.pyspark.types.PysparkDataframeColumnObject'>"
            }
        ]

Additional context

Add any other context about the problem here.