v0.5.5 -- Introduced Pyon, indirect_col, __contains__, T_lor in indexing.
Largest improvements:
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introduction of PYON format.
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added indirect col and support in apply and reduce to handle embedded PYON.
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Added indexing with range and T_lor (list of range) types, for both column and row indexing.
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Added contains method to allow " if key in my_daf: " to test if a given key exists.
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Added daf_sql.py mainly for testing, but will be the basis for extension to sqlite backing with same syntax.
v0.5.5 (2024-12-27) add daf_crm.py as demonstration. add op_import() add get_csv_column_names() as refactoring in daf_utils for reading csv. precheck_csv_cols() compare_lists() -- imported from utils Introduce ops_daf for running operations, can also use in audit-engine. operation descriptions taken from docstring. added 'default_type' to apply_dtypes for any cols not specified in passed dtypes. Improved preprocessing of csv file when line is commented out and embedded newlines exist in the line. Improved Daf.from_lod() by using columns in dtypes dict if provided instead of relying only on first record of lod. Added indexing with range and T_lor (list of range) types, for both column and row indexing. Added __contains__ method to allow " if key in my_daf: " to test if a given key exists. Requires kd exists. revised .sum_da() based on feedback from user group. Improve formatting of README.md to include tables of examples. improve daf_benchmarks.py to use objsize instead of pympler to evaluate memory use. Corrected set_keyfield in daffodil to do nothing if daf is empty. Added 'sparse_rows' to reduction 'by' type using an indirect_col. Improve daf_sum() to support indirect_col. Revised apply_in_place to support by='row_klist'. Func will modify row_klist and that will modify the array. Changed name of keyword parameter in apply_in_place() from keylist to rowkeys to avoid confusion. added astype parameter for to_list() and to_value() Introduced standardization around PYON instead of JSON: - Easier to convert esp. during serialization using csv.writer(). - Compatible with more Python data types. - Still easy to convert to JSON. Copied function create_index_at_cursor() for sql tables in daf_benchmarks.py Added daf_sql.py mainly to support benchmarks at this point. This will be the last release before sql enhancements.