Module indexing 

Advanced indexing operations (NumPy-like boolean masking, fancy indexing, etc.) Advanced indexing operations for ndarray

This module provides enhanced indexing capabilities including boolean masking, fancy indexing, and advanced slicing operations similar to NumPy’s advanced indexing functionality.

Functions

boolean_mask_1d

Boolean mask indexing for 1D arrays

boolean_mask_2d

Boolean mask indexing for 2D arrays

diagonal

Extract a diagonal or a sub-diagonal from a 2D array

fancy_index_2d

Fancy indexing for 2D arrays with pairs of index arrays

indices_where_1d

Extract indices where a 1D array meets a condition

indices_where_2d

Extract indices where a 2D array meets a condition

take_1d

Indexed slicing for 1D arrays

take_2d

Take elements from a 2D array along a given axis using indices from another array

take_along_axis

Return elements from a 2D array along an axis at specified indices

where_1d

Where function - select elements based on a condition for 1D arrays

where_2d

Where function - select elements based on a condition for 2D arrays

Type Aliases

IndicesResult

Result type for coordinating indices