Module ndarray_ext 

Extended ndarray operations for scientific computing

This module provides additional functionality for ndarray to support the advanced array operations necessary for a complete SciPy port. It implements core NumPy-like features that are not available in the base ndarray crate.

Modules

indexing

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

manipulation

Array manipulation operations (flip, roll, tile, repeat, etc.) Array manipulation operations similar to NumPy’s array manipulation routines

matrix

Matrix operations (eye, diag, kron, etc.) Matrix operations for ndarray

stats

Statistical functions for ndarray arrays (mean, median, variance, correlation, etc.) Statistical functions for ndarray arrays

Structs

ArrayBase

Re-export essential ndarray types for convenience An n-dimensional array.

Axis

Re-export essential ndarray types for convenience An axis index.

Dim

Re-export essential ndarray types for convenience Dimension description.

OwnedRepr

Re-export essential ndarray types for convenience Array’s representation.

SliceInfo

Re-export essential ndarray types for convenience Represents all of the necessary information to perform a slice.

ViewRepr

Re-export essential ndarray types for convenience Array view’s representation.

Traits

Dimension

Re-export essential ndarray types for convenience Array shape and index trait.

ShapeBuilder

Re-export essential ndarray types for convenience A trait for Shape and D where D: Dimension that allows customizing the memory layout (strides) of an array shape.

Functions

Dim

Re-export essential ndarray types for convenience Create a new dimension value.

Ix1

Re-export essential ndarray types for convenience Create a one-dimensional index

Ix2

Re-export essential ndarray types for convenience Create a two-dimensional index

Ix3

Re-export essential ndarray types for convenience Create a three-dimensional index

Ix4

Re-export essential ndarray types for convenience Create a four-dimensional index

Ix5

Re-export essential ndarray types for convenience Create a five-dimensional index

Ix6

Re-export essential ndarray types for convenience Create a six-dimensional index

IxDyn

Re-export essential ndarray types for convenience Create a dynamic-dimensional index

broadcast_1d_to_2d

Broadcast a 1D array to a 2D shape by repeating it along the specified axis

broadcast_apply

Apply an element-wise binary operation to two arrays with broadcasting

broadcastshape

Calculate the broadcasted shape from two input shapes

fancy_index_2d

Index a 2D array with a list of index arrays (fancy indexing)

is_broadcast_compatible

Check if two shapes are broadcast compatible

mask_select

Filter an array using a boolean mask

reshape_2d

Reshape a 2D array to a new shape without copying data when possible

split_2d

Split a 2D array into multiple sub-arrays along a given axis

stack_2d

Stack 2D arrays along a given axis

take_2d

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

transpose_2d

Swap axes (transpose) of a 2D array

where_condition

Select elements from an array where a condition is true

Type Aliases

Array

Re-export essential ndarray types for convenience An array that owns its data uniquely.

ArrayView

Re-export essential ndarray types for convenience A read-only array view.

ArrayViewMut

Re-export essential ndarray types for convenience A read-write array view.

Ix1

Re-export essential ndarray types for convenience one-dimensional

Ix2

Re-export essential ndarray types for convenience two-dimensional

Ix3

Re-export essential ndarray types for convenience three-dimensional

Ix4

Re-export essential ndarray types for convenience four-dimensional

Ix5

Re-export essential ndarray types for convenience five-dimensional

Ix6

Re-export essential ndarray types for convenience six-dimensional

IxDyn

Re-export essential ndarray types for convenience dynamic-dimensional