Welcome to Python-flavored Magnum! Please note that, while already being rather stable, this functionality is still considered experimental and some APIs might get changed without preserving full backwards compatibility.

# magnum.Matrix4x4 class

4x4 float matrix

## Static methods

def from_diagonal(arg0: Vector4, /) -> Matrix4x4
Construct a diagonal matrix
def identity_init(value: float = 1.0) -> Matrix4x4
Construct an identity matrix
def zero_init() -> Matrix4x4
Construct a zero-filled matrix

## Methods

def adjugate(self, /) -> Matrix4x4
def cofactor(self, col: int, row: int) -> float
Cofactor
def comatrix(self, /) -> Matrix4x4
Matrix of cofactors
def determinant(self, /) -> float
Determinant
def diagonal(self, /) -> Vector4
Values on diagonal
def flipped_cols(self, /) -> Matrix4x4
Matrix with flipped cols
def flipped_rows(self, /) -> Matrix4x4
Matrix with flipped rows
def inverted(self, /) -> Matrix4x4
Inverted matrix
self, /) -> Matrix4x4
Inverted orthogonal matrix
def is_orthogonal(self, /) -> bool
Whether the matrix is orthogonal
def trace(self, /) -> float
Trace of the matrix
def transposed(self, /) -> Matrix4x4
Transposed matrix

## Special methods

def __add__(self, arg0: Matrix4x4, /) -> Matrix4x4
def __eq__(self, arg0: Matrix4x4, /) -> bool
Equality comparison
def __getitem__(self, arg0: int, /) -> Vector4
Column at given position
def __getitem__(self, arg0: typing.Tuple[int, int], /) -> float
Value at given col/row
def __iadd__(self, arg0: Matrix4x4, /) -> Matrix4x4
Add and assign a matrix
def __imul__(self, arg0: float, /) -> Matrix4x4
Multiply with a scalar and assign
def __init__(self, arg0: Matrix4x4d, /) -> None
Construct from different underlying type
def __init__(self, arg0: buffer, /) -> None
Construct from a buffer
def __init__(self, /) -> None
Default constructor
def __init__(self, arg0: float, /) -> None
Construct a matrix with one value for all components
def __init__(self, arg0: Vector4, arg1: Vector4, arg2: Vector4, arg3: Vector4, /) -> None
Construct from column vectors
def __init__(self, arg0: typing.Tuple[Vector4, Vector4, Vector4, Vector4], /) -> None
Construct from a column vector tuple
def __init__(self, arg0: typing.Tuple[typing.Tuple[float, float, float, float], typing.Tuple[float, float, float, float], typing.Tuple[float, float, float, float], typing.Tuple[float, float, float, float]], /) -> None
Construct from a column tuple
def __isub__(self, arg0: Matrix4x4, /) -> Matrix4x4
Subtract and assign a matrix
def __itruediv__(self, arg0: float, /) -> Matrix4x4
Divide with a scalar and assign
def __len__() -> int
Matrix column count. Returns 4.
def __matmul__(self, arg0: Matrix4x4, /) -> Matrix4x4
Multiply a matrix
def __matmul__(self, arg0: Matrix2x4, /) -> Matrix2x4
Multiply a matrix
def __matmul__(self, arg0: Matrix3x4, /) -> Matrix3x4
Multiply a matrix
def __mul__(self, arg0: float, /) -> Matrix4x4
Multiply with a scalar
def __mul__(self, arg0: Vector4, /) -> Vector4
Multiply a vector
def __ne__(self, arg0: Matrix4x4, /) -> bool
Non-equality comparison
def __neg__(self, /) -> Matrix4x4
Negated matrix
def __repr__(self, /) -> str
Object representation
def __rmul__(self, arg0: float, /) -> Matrix4x4
Multiply a scalar with a matrix
def __rtruediv__(self, arg0: float, /) -> Matrix4x4
Divide a matrix with a scalar and invert
def __setitem__(self, arg0: int, arg1: Vector4, /) -> None
Set a column at given position
def __setitem__(self, arg0: typing.Tuple[int, int], arg1: float, /) -> None
Set a value at given col/row
def __sub__(self, arg0: Matrix4x4, /) -> Matrix4x4
Subtract a matrix
def __truediv__(self, arg0: float, /) -> Matrix4x4
Divide with a scalar