parameters: (self, value)
docstring: Ensure that if we don't have an index, that we can create one from the
          passed value.
docstring_summary: Ensure that if we don't have an index, that we can create one from the
          passed value.
docstring_tokens: Ensure that if we don t have an index that we can create one from the passed value .
function: def _ensure_valid_index(self, value) -> None:
          """
          Ensure that if we don't have an index, that we can create one from the
          passed value.
          """
          # GH5632, make sure that we are a Series convertible
          if not len(self.index) and is_list_like(value) and len(value):
              if not isinstance(value, DataFrame):
                  try:
                      value = Series(value)
                  except (ValueError, NotImplementedError, TypeError) as err:
                      raise ValueError(
                          "Cannot set a frame with no defined index "
                          "and a value that cannot be converted to a Series"
                      ) from err
  
              # GH31368 preserve name of index
              index_copy = value.index.copy()
              if self.index.name is not None:
                  index_copy.name = self.index.name
  
              self._mgr = self._mgr.reindex_axis(index_copy, axis=1, fill_value=np.nan)
function_tokens: def _ensure_valid_index ( self , value ) -> None : # GH5632, make sure that we are a Series convertible if not len ( self . index ) and is_list_like ( value ) and len ( value ) : if not isinstance ( value , DataFrame ) : try : value = Series ( value ) except ( ValueError , NotImplementedError , TypeError ) as err : raise ValueError ( "Cannot set a frame with no defined index " "and a value that cannot be converted to a Series" ) from err # GH31368 preserve name of index index_copy = value . index . copy ( ) if self . index . name is not None : index_copy . name = self . index . name self . _mgr = self . _mgr . reindex_axis ( index_copy , axis = 1 , fill_value = np . nan )