code: def convert_UvS_to_MvS_as_Series(
      obj: pd.Series, store=None
  ) -> pd.DataFrame:
      if not isinstance(obj, pd.Series):
          raise TypeError("input must be a pd.Series")
  
      obj = _coerce_df_dtypes(obj)
  
      if isinstance(store, dict):
          store["name"] = obj.name
  
      res = pd.DataFrame(obj)
  
      if (
          isinstance(store, dict)
          and "columns" in store.keys()
          and len(store["columns"]) == 1
      ):
          res.columns = store["columns"]
  
      return res
  
file_path: sktime/sktime/datatypes/_series/_convert.py
imports: import numpy
  import pandas
  from sktime.datatypes._convert_utils._coerce import _coerce_df_dtypes
  from sktime.datatypes._convert_utils._convert import _extend_conversions
  from sktime.datatypes._registry import MTYPE_LIST_SERIES
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 2 for calling a global function with example usage: convert_UvS_to_MvS_as_Series(obj, store) and returns: res