The ArrayKit library provides utilities for creating and transforming NumPy arrays, implementing performance-critical StaticFrame operations as Python C extensions.

Code: https://github.com/InvestmentSystems/arraykit

Packages: https://pypi.org/project/arraykit

ArrayKit requires the following:

• Python >= 3.7
• NumPy >= 1.18.5

Simplified implementation of NaTType identification in isna_element().

Corrected potential memory leak in isna_element().

Optimization to delimited_to_arrays() character reading per line.

Improvements to delimited_to_arrays(), including proper loading of float16 types.

Extended deepcopy_array() to permit memo as None.

Corrected all compiler warnings on Windows.

Added first_true_1d(), first_true_2d(). Added tools for performance graphing.

Corrected segmentation fault resulting from attempting to parse invalid datetime64 strings in AK_CPL_to_array_via_cast.

Added include_none argument to isna_element(); implemented identification of Pandas pd.Timestamp NaT.

Updated most-recent NumPy references to 1.23.5.

Maintenance release.

Optimization to numerical array creation in delimited_to_arrays().

Set NumPy minimum version at 1.18.5.

Extended arguments to and functionality in split_after_count() to support the complete CSV dialect interface.

Now building wheels for 3.11.

Refinements to ensure typed-parsed ints are always int64 in delimited_to_arrays().

Implemented count_iteration, split_after_count.

Implemented delimited_to_arrays, iterable_str_to_array_1d.

Now building Python 3.10 wheels.

Added get_new_indexers_and_screen.

Updated minimum NumPy to 1.18.5

Improvements to performance of array_deepcopy.

Added dtype_from_element.

Revised cross compile releases.

Added dtype_from_element().

Explicit imports in __init__.py for better static analysis.

Added isna_element().

Redesigned package structure for inclusion of py.typed and __init__.pyi.

array_deepcopy now accepts kwargs and makes the memo dict optional.

Maintenance release of the following interfaces:

immutable_filter mloc shape_filter column_2d_filter column_1d_filter row_1d_filter array_deepcopy resolve_dtype resolve_dtype_iter