Class Matrix

matrix/matrix_class.py:6–360

Matrix object generated from a 2D array where each element is an array representing a row. Rows can contain type int or float. Common operations and information available. >>> rows = [ ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> matrix =

class Matrix:
    """
    Matrix object generated from a 2D array where each element is an array representing
    a row.
    Rows can contain type int or float.
    Common operations and information available.
    >>> rows = [
    ...     [1, 2, 3],
    ...     [4, 5, 6],
    ...     [7, 8, 9]
    ... ]
    >>> matrix = Matrix(rows)
    >>> print(matrix)
    [[1. 2. 3.]
     [4. 5. 6.]
     [7. 8. 9.]]

    Matrix rows and columns are available as 2D arrays
    >>> matrix.rows
    [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
    >>> matrix.columns()
    [[1, 4, 7], [2, 5, 8], [3, 6, 9]]

    Order is returned as a tuple
    >>> matrix.order
    (3, 3)

    Squareness and invertability are represented as bool
    >>> matrix.is_square
    True
    >>> matrix.is_invertable()
    False

    Identity, Minors, Cofactors and Adjugate are returned as Matrices.  Inverse can be
    a Matrix or Nonetype
    >>> print(matrix.identity())
    [[1. 0. 0.]
     [0. 1. 0.]
     [0. 0. 1.]]
    >>> print(matrix.minors())
    [[-3. -6. -3.]
     [-6. -12. -6.]
     [-3. -6. -3.]]
    >>> print(matrix.cofactors())
    [[-3. 6. -3.]
     [6. -12. 6.]
     [-3. 6. -3.]]
    >>>  # won't be apparent due to the nature of the cofactor matrix
    >>> print(matrix.adjugate())
    [[-3. 6. -3.]
     [6. -12. 6.]
     [-3. 6. -3.]]
    >>> matrix.inverse()
    Traceback (most recent call last):
        ...
    TypeError: Only matrices with a non-zero determinant have an inverse

    Determinant is an int, float, or Nonetype