fix(python): Consider the original dtypes when selecting columns in t…

…he `write_excel` function

py-polars/polars/dataframe/frame.py

@@ -3473,6 +3473,12 @@ def write_excel(
         wb, ws, can_close = _xl_setup_workbook(workbook, worksheet)
         df, is_empty = self, not len(self)
 
+        # The _xl_setup_table_columns function in the below section
+        # converts all collection types (e.g. List, Struct, Object) to strings
+        # Hence, we need to store the original schema so that it can be used
+        # when selecting columns using column selectors based on datatypes
+        df_ori_dtypes = df.head(0)
+
         # setup table format/columns
         fmt_cache = _XLFormatCache(wb)
         column_formats = column_formats or {}
@@ -3540,7 +3546,7 @@ def write_excel(
         elif isinstance(hidden_columns, str):
             hidden = {hidden_columns}
         else:
-            hidden = set(_expand_selectors(df, hidden_columns))
+            hidden = set(_expand_selectors(df_ori_dtypes, hidden_columns))
 
         # Autofit section needs to be present above column_widths section
         # to ensure that parameters provided in the column_widths section
@@ -3558,7 +3564,7 @@ def write_excel(
             column_widths = dict.fromkeys(df.columns, column_widths)
         else:
             column_widths = _expand_selector_dicts(  # type: ignore[assignment]
-                df, column_widths, expand_keys=True, expand_values=False
+                df_ori_dtypes, column_widths, expand_keys=True, expand_values=False
             )
         column_widths = _unpack_multi_column_dict(column_widths or {})  # type: ignore[assignment]