caput.util.arraytools

Tools for working with numpy arrays and subclasses.

Classes

LRUCache

An LRU cache for numpy arrays that will expand to a maximum size in bytes.

Functions

listize(→ collections.abc.Callable)	Make functions that already work with np.ndarray or scalars accept lists.
partition_list(→ list)	Partition a list into n pieces. Return the i th partition.
scalarize(→ collections.abc.Callable)	Handle scalars and other iterables being passed to numpy requiring code.
split_m(→ numpy.ndarray)	Split a range of integers [0, n) into m sub-ranges of similar length.
unique_ordered(→ list)	Take unique values from an iterable with order preserved.
vectorize(→ collections.abc.Callable)	Improved vectorization decorator.