Shape class

Enhanced Shape class with N-dimensional support

Represents the shape of multi-dimensional data structures with support for:

This class is used by NDArray, DataCube, and can enhance DataFrame/Series.

Constructors

Shape(List<int> dimensions): Create shape from dimensions
Shape.fromRowsColumns(int rows, int columns): Create 2D shape (for backward compatibility with DataFrame)

columns → int: The number of columns (second dimension) for 2D+ structures
no setter
hashCode → int: The hash code for this object.
no setteroverride
isEmpty → bool: Checks if any dimension has size 0 (empty structure)
no setter
isHypercube → bool: Checks if all dimensions have the same size (hypercube)
no setter
isMatrix → bool: Checks if this is a 2D shape (matrix/DataFrame)
no setter
isNotEmpty → bool: Checks if all dimensions have size > 0 (non-empty structure)
no setter
isSquare → bool: Checks if this is a 2D square shape (rows == columns)
no setter
isTensor → bool: Checks if this is a 3D+ shape (tensor)
no setter
isVector → bool: Checks if this is a 1D shape (vector)
no setter
ndim → int: Number of dimensions
no setter
rows → int: The number of rows (first dimension) for 2D+ structures
no setter
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
size → int: Total number of elements (product of all dimensions)
no setter
strides → List<int>: Strides for row-major indexing
no setter

addDimension(int size, {int axis = 0}) → Shape: Add a dimension at the specified axis
broadcastWith(Shape other) → Shape: Get broadcast shape with another shape
canBroadcastWith(Shape other) → bool: Check if two shapes are broadcastable
fromFlatIndex(int flatIndex) → List<int>: Convert flat index to multi-dimensional indices
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
removeDimension(int axis) → Shape: Remove a dimension at the specified axis
toFlatIndex(List<int> indices) → int: Convert multi-dimensional indices to flat index
toList() → List<int>: Get all dimensions as list
toString() → String: A string representation of this object.
override
transpose(List<int> axes) → Shape: Transpose (reorder) dimensions