[SPARK-54650][PYTHON][FOLLOW-UP] Apply pandas.api.types.is_integer_dtype to check the series dtype

### What changes were proposed in this pull request?
Apply `pandas.api.types.is_integer_dtype` to check the series dtype

### Why are the changes needed?
`pandas.api.types.is_integer_dtype` is a public pandas API, which is the standard way to check the dtype

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #53416 from zhengruifeng/apply_stand_is_integer_dtype.

Authored-by: Ruifeng Zheng <ruifengz@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

Author: zhengruifeng

python/pyspark/sql/pandas/types.py

@@ -1277,7 +1277,7 @@ def correct_timestamp(pser: pd.Series) -> pd.Series:
             #     lambda x: Decimal(x))).cast(pa.decimal128(1))
 
             def convert_int_to_decimal(pser: pd.Series) -> pd.Series:
-                if pser.dtype.kind in ["i", "u"]:
+                if pd.api.types.is_integer_dtype(pser):  # type: ignore[attr-defined]
                     return pser.apply(  # type: ignore[return-value]
                         lambda x: Decimal(x) if pd.notna(x) else None
                     )