- Update docstrings of methods in `TemporalAccessor` class
- Add `DEFAULT_SEASON_CONFIG` to reduce code duplication
- Add comments for sections of code that is opaque
- Rename `_averager()` to `_grouped_average()`

- Remove `data_var` arg from `_get_weights()`
- Update `_convert_df_to_dt()` to use regular dt objects for mean mode and non-monthly frequencies
Add `TemporalAccessor` attribute `_dim_name`
- Update docstrings

- Rename `.mean()` to `.average()`
- Rename existing `.average()` to `.group_average()`
- Update "mean" to "average" and "average" to "group_average in `Mode` type alias

- Rename `_grouped_average()` to `_group_average()`
- Rename `_time_grouped` to `_grouped_time`
- Update docstring for `_convert_df_to_dt()`
- Update conditional in `_convert_df_to_dt()`
- Update `_validate_weights()` to get `num_groups` from `_get_weights()`instead of `self._time_grouped`
- Rename classes in `test_temporal.py` to reflect private methods
- Add placeholder tests in `test_temporal.py`

- Update `_group_time_coords()` to `_label_time_coords()`
- Update `_groupby_freq()` to `_group_data()`
- Extract `_get_dt_components()` from `_group_time_coords()`
- Rename `_process_season_dataframe()` to `_process_season_df()`
- Move `_convert_df_to_dt()` further down the class
- Rename `DATETIME_COMPONENTS` to `TIME_GROUPS`
- Update season frequency in `TIME_GROUPS`
- Add logic to `_get_dt_components()` to handle seasonal frequency

- Testing private methods introduces coupling to implementation details. We should be testing public methods, which tests behaviors and outputs

- Use dataset custom dataset fixtures with less coordinate points and values other than 1 for easier and more robust testing

- Add tests for `season_config` arg
- Update names of tests

- Update `TestAverage` unit tests to test different time frequencies