Quaternions
The Quaternion class
- class quaternions.Quaternion(real_component: float = 0.0, i_component: float = 0.0, j_component: float = 0.0, k_component: float = 0.0)
Quaternions are an expansion of the complex numbers, where there are four (4) components–the real component, also known as the scalar part, and the imaginary components, which together are known as the vector part. The vector part is made up of three (3) components whose unit values are i, j, and k. The rules for these values are as follows:
\(i^2 = j^2 = k^2 = -1\)
\(jk = -kj = i\)
\(ki = -ik = j\)
\(ij = -ji = k\),
which leads to the following statement:
\(ijk = -1\).
The descriptions will reference a quaternion of the form \(a + bi + cj + dk\), where \(a\), \(b\), \(c\), and \(d\) are real numbers.
- Parameters:
real_component – The real component (\(a\)) of the quaternion.
i_component – The i component (\(b\)) of the quaternion.
j_component – The j component (\(c\)) of the quaternion.
k_component – The k component (\(d\)) of the quaternion.
Each component can be returned by calling the attribute of the same name.
Example
>>> q = Quaternion(1, -2, -3, 4) >>> print(q) (1 - 2i - 3j + 4k) >>> q.real 1.0 >>> q.i -2.0 >>> q.j -3.0 >>> q.k 4.0
Methods
Object-based methods
- Quaternion.abs_components()
Return a list of the absolute values of the components of self.
New in version 2.0.0.
- Quaternion.from_complex(z: complex) Quaternion
Return a Quaternion from a complex number and the vector of self.
If
u == self.unit_vector()
, this is equivalent toQuaternion(z.real, z.imag*u.i, z.imag*u.j, z.imag*u.k)
New in version 2.0.0.
Mathematical methods
- Quaternion.conjugate() Quaternion
Return the conjugate of self. This is analogous to the complex conjugate, reversing the signs of the vector components.
- Quaternion.inverse() Quaternion
Return 1/self.
Return the inverse of the quaternion. The inverse of a quaternion is defined as the conjugate divided by the norm squared:
q.inverse() = q.conjugate()/(q.norm)**2
- Quaternion.squared() Quaternion
Return self**2.
New in version 2.0.0.
- Quaternion.log_norm() float
Return the natural logarithm of the norm of self.
This tends to be more accurate than
>>> math.log(self.norm)
New in version 2.0.0.
- Quaternion.unit_quaternion() Quaternion
Return the quaternion normalized to magnitude one (1).
If the quaternion is a zero (0) quaternion, return the zero quaternion.
- Quaternion.unit_vector() Quaternion
Return the vector part of the quaternion normalized to a magnitude of one (1.0). Return the zero quaternion if the magnitude of the quaternion is zero (0.0).
Boolean methods
- Quaternion.is_complex() bool
Return
True
if only one of the i, j, and k components is nonzero. Otherwise, returnFalse
.
- Quaternion.is_scalar() bool
Return
True
if the vector components all equal zero. Otherwise, returnFalse
.
- Quaternion.is_vector() bool
Return
True
if the scalar part is zero and at least one of the vector components is nonzero. Otherwise, returnFalse
.
Class methods
- classmethod Quaternion.from_angle(angle: float, vector: Iterable[float], norm: Optional[float] = None, degrees: bool = True) Quaternion
Return a quaternion from an angle and vector.
Quaternions can be expressed as
norm*(cos(theta) + u*sin(theta))
, whereu
is a 3D unit vector. This function takes an angle and a vector to create a quaternion. If you want a quaternion with a specific magnitude, you can change thenorm
argument. If no argument is given for norm, the resulting quaternion will have a norm equal to the magnitude of vector. By default, angles are entered in degrees. If you want to enter an angle in radians, setdegrees
to False.
Properties
- property Quaternion.angle_in_radians
Same as
Quaternion.angle
- property Quaternion.components: Tuple[float]
The components of the quaternion as a tuple in the order
(real, i, j, k)
.
- property Quaternion.scalar: Quaternion
The real part of the quaternion.
- property Quaternion.vector: Quaternion
The vector part of the quaternion.
- property Quaternion.versor: Quaternion
The quaternion normalized to a magnitude of one (1).