2019-07-20 03:06:29 +00:00
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"""
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function based version of matrix operations, which are just 2D arrays
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"""
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2019-06-11 11:24:53 +00:00
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2018-10-31 09:47:11 +00:00
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def add(matrix_a, matrix_b):
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2019-07-20 03:06:29 +00:00
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if _check_not_integer(matrix_a) and _check_not_integer(matrix_b):
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rows, cols = _verify_matrix_sizes(matrix_a, matrix_b)
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matrix_c = []
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for i in range(rows[0]):
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list_1 = []
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for j in range(cols[0]):
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val = matrix_a[i][j] + matrix_b[i][j]
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list_1.append(val)
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matrix_c.append(list_1)
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return matrix_c
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def subtract(matrix_a, matrix_b):
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if _check_not_integer(matrix_a) and _check_not_integer(matrix_b):
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rows, cols = _verify_matrix_sizes(matrix_a, matrix_b)
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matrix_c = []
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for i in range(rows[0]):
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list_1 = []
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for j in range(cols[0]):
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val = matrix_a[i][j] - matrix_b[i][j]
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list_1.append(val)
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matrix_c.append(list_1)
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return matrix_c
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def scalar_multiply(matrix, n):
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2019-03-27 17:50:43 +00:00
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return [[x * n for x in row] for row in matrix]
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2018-10-31 09:47:11 +00:00
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2019-07-20 03:06:29 +00:00
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2018-10-31 09:47:11 +00:00
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def multiply(matrix_a, matrix_b):
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2019-07-20 03:06:29 +00:00
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if _check_not_integer(matrix_a) and _check_not_integer(matrix_b):
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matrix_c = []
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rows, cols = _verify_matrix_sizes(matrix_a, matrix_b)
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if cols[0] != rows[1]:
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2019-10-05 05:14:13 +00:00
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raise ValueError(
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f"Cannot multiply matrix of dimensions ({rows[0]},{cols[0]}) "
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f"and ({rows[1]},{cols[1]})"
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)
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2019-07-20 03:06:29 +00:00
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for i in range(rows[0]):
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list_1 = []
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for j in range(cols[1]):
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val = 0
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for k in range(cols[1]):
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val = val + matrix_a[i][k] * matrix_b[k][j]
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list_1.append(val)
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matrix_c.append(list_1)
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return matrix_c
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2018-10-31 09:47:11 +00:00
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2019-03-27 17:50:43 +00:00
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def identity(n):
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2019-07-20 03:06:29 +00:00
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"""
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:param n: dimension for nxn matrix
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:type n: int
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:return: Identity matrix of shape [n, n]
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"""
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n = int(n)
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2019-10-05 05:14:13 +00:00
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return [[int(row == column) for column in range(n)] for row in range(n)]
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2019-03-27 17:50:43 +00:00
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2019-07-20 03:06:29 +00:00
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def transpose(matrix, return_map=True):
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if _check_not_integer(matrix):
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if return_map:
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return map(list, zip(*matrix))
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else:
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# mt = []
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# for i in range(len(matrix[0])):
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# mt.append([row[i] for row in matrix])
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# return mt
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return [[row[i] for row in matrix] for i in range(len(matrix[0]))]
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2019-03-27 17:50:43 +00:00
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def minor(matrix, row, column):
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2019-10-05 05:14:13 +00:00
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minor = matrix[:row] + matrix[row + 1 :]
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minor = [row[:column] + row[column + 1 :] for row in minor]
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2019-03-27 17:50:43 +00:00
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return minor
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2019-07-20 03:06:29 +00:00
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2019-03-27 17:50:43 +00:00
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def determinant(matrix):
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2019-07-20 03:06:29 +00:00
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if len(matrix) == 1:
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return matrix[0][0]
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2019-10-05 05:14:13 +00:00
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2019-03-27 17:50:43 +00:00
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res = 0
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for x in range(len(matrix)):
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2019-07-20 03:06:29 +00:00
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res += matrix[0][x] * determinant(minor(matrix, 0, x)) * (-1) ** x
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2019-03-27 17:50:43 +00:00
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return res
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2019-07-20 03:06:29 +00:00
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2019-03-27 17:50:43 +00:00
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def inverse(matrix):
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det = determinant(matrix)
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2019-07-20 03:06:29 +00:00
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if det == 0:
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return None
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2019-03-27 17:50:43 +00:00
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2019-07-20 03:06:29 +00:00
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matrix_minor = [[] for _ in range(len(matrix))]
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2019-03-27 17:50:43 +00:00
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for i in range(len(matrix)):
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for j in range(len(matrix)):
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2019-07-20 03:06:29 +00:00
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matrix_minor[i].append(determinant(minor(matrix, i, j)))
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2019-10-05 05:14:13 +00:00
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cofactors = [
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[x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row])]
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for row in range(len(matrix))
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]
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2019-03-27 17:50:43 +00:00
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adjugate = transpose(cofactors)
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2019-10-05 05:14:13 +00:00
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return scalar_multiply(adjugate, 1 / det)
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2019-07-20 03:06:29 +00:00
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def _check_not_integer(matrix):
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2020-02-11 08:29:09 +00:00
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if not isinstance(matrix, int) and not isinstance(matrix[0], int):
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2019-07-20 03:06:29 +00:00
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return True
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2020-02-11 08:29:09 +00:00
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raise TypeError("Expected a matrix, got int/list instead")
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2019-07-20 03:06:29 +00:00
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def _shape(matrix):
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return list((len(matrix), len(matrix[0])))
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def _verify_matrix_sizes(matrix_a, matrix_b):
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shape = _shape(matrix_a)
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shape += _shape(matrix_b)
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if shape[0] != shape[2] or shape[1] != shape[3]:
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2019-10-05 05:14:13 +00:00
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raise ValueError(
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f"operands could not be broadcast together with shape "
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f"({shape[0], shape[1]}), ({shape[2], shape[3]})"
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)
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2019-07-20 03:06:29 +00:00
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return [shape[0], shape[2]], [shape[1], shape[3]]
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2018-10-31 09:47:11 +00:00
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def main():
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matrix_a = [[12, 10], [3, 9]]
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matrix_b = [[3, 4], [7, 4]]
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2019-03-27 17:50:43 +00:00
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matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
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matrix_d = [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
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2019-10-05 05:14:13 +00:00
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print(
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"Add Operation, %s + %s = %s \n"
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% (matrix_a, matrix_b, (add(matrix_a, matrix_b)))
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)
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print(
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"Multiply Operation, %s * %s = %s \n"
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% (matrix_a, matrix_b, multiply(matrix_a, matrix_b))
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)
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print("Identity: %s \n" % identity(5))
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2020-01-03 14:25:36 +00:00
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print("Minor of {} = {} \n".format(matrix_c, minor(matrix_c, 1, 2)))
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print("Determinant of {} = {} \n".format(matrix_b, determinant(matrix_b)))
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print("Inverse of {} = {}\n".format(matrix_d, inverse(matrix_d)))
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2019-10-05 05:14:13 +00:00
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if __name__ == "__main__":
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2018-10-31 09:47:11 +00:00
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main()
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