parameters: (self, key: str, axis: int = 0)
return_statement: return values
docstring: Return a 1-D array of values associated with `key`, a label or level
          from the given `axis`.
  
          Retrieval logic:
            - (axis=0): Return column values if `key` matches a column label.
              Otherwise return index level values if `key` matches an index
              level.
            - (axis=1): Return row values if `key` matches an index label.
              Otherwise return column level values if 'key' matches a column
              level
  
          Parameters
          ----------
          key: str
              Label or level name.
          axis: int, default 0
              Axis that levels are associated with (0 for index, 1 for columns)
  
          Returns
          -------
          values: np.ndarray
  
          Raises
          ------
          KeyError
              if `key` matches neither a label nor a level
          ValueError
              if `key` matches multiple labels
          FutureWarning
              if `key` is ambiguous. This will become an ambiguity error in a
              future version
docstring_summary: Return a 1-D array of values associated with `key`, a label or level
          from the given `axis`.
docstring_tokens: Return a 1 - D array of values associated with key a label or level from the given axis .
function: def _get_label_or_level_values(self, key: str, axis: int = 0) -> np.ndarray:
          """
          Return a 1-D array of values associated with `key`, a label or level
          from the given `axis`.
  
          Retrieval logic:
            - (axis=0): Return column values if `key` matches a column label.
              Otherwise return index level values if `key` matches an index
              level.
            - (axis=1): Return row values if `key` matches an index label.
              Otherwise return column level values if 'key' matches a column
              level
  
          Parameters
          ----------
          key: str
              Label or level name.
          axis: int, default 0
              Axis that levels are associated with (0 for index, 1 for columns)
  
          Returns
          -------
          values: np.ndarray
  
          Raises
          ------
          KeyError
              if `key` matches neither a label nor a level
          ValueError
              if `key` matches multiple labels
          FutureWarning
              if `key` is ambiguous. This will become an ambiguity error in a
              future version
          """
          axis = self._get_axis_number(axis)
          other_axes = [ax for ax in range(self._AXIS_LEN) if ax != axis]
  
          if self._is_label_reference(key, axis=axis):
              self._check_label_or_level_ambiguity(key, axis=axis)
              values = self.xs(key, axis=other_axes[0])._values
          elif self._is_level_reference(key, axis=axis):
              values = self.axes[axis].get_level_values(key)._values
          else:
              raise KeyError(key)
  
          # Check for duplicates
          if values.ndim > 1:
  
              if other_axes and isinstance(self._get_axis(other_axes[0]), MultiIndex):
                  multi_message = (
                      "\n"
                      "For a multi-index, the label must be a "
                      "tuple with elements corresponding to "
                      "each level."
                  )
              else:
                  multi_message = ""
  
              label_axis_name = "column" if axis == 0 else "index"
              raise ValueError(
                  (
                      f"The {label_axis_name} label '{key}' "
                      f"is not unique.{multi_message}"
                  )
              )
  
          return values
function_tokens: def _get_label_or_level_values ( self , key : str , axis : int = 0 ) -> np . ndarray : axis = self . _get_axis_number ( axis ) other_axes = [ ax for ax in range ( self . _AXIS_LEN ) if ax != axis ] if self . _is_label_reference ( key , axis = axis ) : self . _check_label_or_level_ambiguity ( key , axis = axis ) values = self . xs ( key , axis = other_axes [ 0 ] ) . _values elif self . _is_level_reference ( key , axis = axis ) : values = self . axes [ axis ] . get_level_values ( key ) . _values else : raise KeyError ( key ) # Check for duplicates if values . ndim > 1 : if other_axes and isinstance ( self . _get_axis ( other_axes [ 0 ] ) , MultiIndex ) : multi_message = ( "\n" "For a multi-index, the label must be a " "tuple with elements corresponding to " "each level." ) else : multi_message = "" label_axis_name = "column" if axis == 0 else "index" raise ValueError ( ( f"The {label_axis_name} label '{key}' " f"is not unique.{multi_message}" ) ) return values