Fix docstring

xcdat/temporal.py

@@ -334,7 +334,7 @@ def group_average(
  min_weight : float | None, optional
  Fraction of data coverage (i..e, weight) needed to return a
  temporal average value. Value must range from 0 to 1, by default
- None ((equivalent to ``min_weight=0.0``).
+ None (equivalent to ``min_weight=0.0``).
 
  Returns
  -------
@@ -907,36 +907,31 @@ def _set_arg_attrs(
  ):
  """Validates method arguments and sets them as object attributes.
 
- Parameters
- ----------
- mode : Mode
- The mode for temporal averaging.
- freq : Frequency
- The frequency of time to group by.
- weighted : bool
- Calculate averages using weights.
- season_config: Optional[SeasonConfigInput]
- A dictionary for "season" frequency configurations. If configs for
- predefined seasons are passed, configs for custom seasons are
- ignored and vice versa, by default DEFAULT_SEASON_CONFIG.
- min_weight : float | None, optional
- Fraction of data coverage (i..e, weight) needed to return a
- <<<<<<< Updated upstream
- spatial average value. Value must range from 0 to 1, by default None
- (equivalent to ``min_weight=0.0``).
- =======
- temporal average value. Value must range from 0 to 1, by default
- None ((equivalent to ``min_weight=0.0``).
- >>>>>>> Stashed changes
-
- Raises
- ------
- KeyError
- If the Dataset does not have a time dimension.
- ValueError
- If an incorrect ``freq`` arg was passed.
- ValueError
- If an incorrect ``dec_mode`` arg was passed.
+ Parameters
+ ----------
+ mode : Mode
+ The mode for temporal averaging.
+ freq : Frequency
+ The frequency of time to group by.
+ weighted : bool
+ Calculate averages using weights.
+ season_config: Optional[SeasonConfigInput]
+ A dictionary for "season" frequency configurations. If configs for
+ predefined seasons are passed, configs for custom seasons are
+ ignored and vice versa, by default DEFAULT_SEASON_CONFIG.
+ min_weight : float | None, optional
+ Fraction of data coverage (i..e, weight) needed to return a
+ temporal average value. Value must range from 0 to 1, by default
+ None (equivalent to ``min_weight=0.0``).
+
+ Raises
+ ------
+ KeyError
+ If the Dataset does not have a time dimension.
+ ValueError
+ If an incorrect ``freq`` arg was passed.
+ ValueError
+ If an incorrect ``dec_mode`` arg was passed.
  """
  # General configuration attributes.
  if mode not in list(MODES):