v0.5.0 (2024-05-23)
Added split_where(self, where: Callable) which makes a single pass and splits the daf array in two
true_daf, false_daf.
Added to Daffodil multi_groupby(), reduce_dodaf_to_daf() and multi_groupby_reduce()
Added class KeyedList() to provide a new data item that functions like a dict but is a hd plus list.
can result in much better performance by not redistributing values in the dict structure.
This is not yet integrated into daffodil fully.
Removed '_da' from many Daffodil methods and for keyword parameters, to allow future upgrade to KeyedList.
select_record_da() -> select_record()
record_append()
_basic_get_record_da -> _basic_get_record
assign_record_da() -> assign_record()
assign_record_da_irow -> assign_record_irow
update_by_keylist()
update_record_da_irow -> update_record_irow
changed test_daf accordingly.
Added _build_hd() to consistently build header dict structure.
Added to_json() and from_json() methods to allow generation of custom JSONEncoder.
Changed nomenclature in KeyedList class from dex to hd.
Added from_json and to_json to KeyedList class to allow custom JSONEncoder to be developed.
select_record() silently returns {} if self is empty.
fixed _itermode vs. itermode.
Added .strip() method.
correct icols when providing a single str column name, and when column names have more than one character each.
Added 'flatten' in '.to_list' method which will combine lol to a single list.
Added .num_rows() which will more robustly calculate the number of rows in edge cases.
Fix unflattening issue discovered when running edge_test_utils.py.
Updated documentation to reflect new approach to dtypes and flattening.
