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Numeric Matrix Processor.

Author: wiktorkurek

processor.py

@@ -0,0 +1,155 @@
+import numpy as np
+
+def menu():
+    while True:
+        print("1. Add matrices\n2. Multiply matrix by a constant\n3. Multiply matrices\n4. Transpose matrix\n"
+              "5. Calculate a determinant\n6. Inverse matrix\n0. Exit")
+        choice = int(input("Your choice: "))
+        if choice == 0:
+            break
+        elif choice == 1:
+            adding_matrices()
+        elif choice == 2:
+            constant_multiply()
+        elif choice == 3:
+            multiply_matrices()
+        elif choice == 4:
+            print("1. Main diagonal\n2. Side diagonal\n3. Vertical line\n4. Horizontal line")
+            transpose_choice = int(input("Your choice: "))
+            if transpose_choice == 1:
+                transpose_main_diagonal()
+            elif transpose_choice == 2:
+                transpose_side_diagonal()
+            elif transpose_choice == 3:
+                transpose_vertical_line()
+            elif transpose_choice == 4:
+                transpose_horizontal_line()
+        elif choice == 5:
+            determinant()
+        elif choice == 6:
+            inverse_matrix()
+        else:
+            print("Wrong option")
+            continue
+
+def make_a_matrix():
+    global a_rows, a_columns, a_matrix, matrix
+    a_rows, a_columns = map(int, input("Enter size of first matrix: ").split())
+    a_matrix = []
+    matrix = []
+    print("Enter first matrix: ")
+    for i in range(a_rows):
+        a_matrix.append(list(map(float, input().split())))
+
+def make_b_matrix():
+    global b_rows, b_columns, b_matrix
+    b_rows, b_columns = map(int, input("Enter size of second matrix: ").split())
+    b_matrix = []
+    print("Enter second matrix: ")
+    for j in range(b_rows):
+        b_matrix.append(list(map(float, input().split())))
+
+
+def adding_matrices():
+    make_a_matrix()
+    make_b_matrix()
+    if (a_rows == b_rows) and (a_columns == b_columns):
+        print("The result is: ")
+        for i in range(a_rows):
+            matrix.append([])
+            for j in range(a_columns):
+                matrix[i].append(a_matrix[i][j] + b_matrix[i][j])
+            converted_list = [str(element) for element in matrix[i]]
+            joined_string = " ".join(converted_list)
+            print(joined_string)
+    else:
+        print("The operation cannot be performed.")
+
+
+def constant_multiply():
+    make_a_matrix()
+    c = int(input("Enter constant: "))
+    print("The result is: ")
+    for i in range(a_rows):
+        matrix.append([])
+        for j in range(a_columns):
+            matrix[i].append(a_matrix[i][j] * c)
+        converted_list = [str(element) for element in matrix[i]]
+        joined_string = " ".join(converted_list)
+        print(joined_string)
+
+
+def multiply_matrices():
+    make_a_matrix()
+    make_b_matrix()
+    if a_columns == b_rows:
+        print("The result is: ")
+        for i in range(a_rows):
+            matrix.append([])
+            for j in range(b_columns):
+                matrix[-1].append(0.0)
+                for k in range(b_rows):
+                    matrix[i][j] += a_matrix[i][k] * b_matrix[k][j]
+            converted_list = [str(element) for element in matrix[i]]
+            joined_string = " ".join(converted_list)
+            print(joined_string)
+    else:
+        print("The operation cannot be performed.")
+
+
+def transpose_main_diagonal():
+    make_a_matrix()
+    transpose_matrix = [[a_matrix[j][i] for j in range(a_rows)] for i in range(a_columns)]
+    for i in range(len(transpose_matrix)):
+        converted_list = [str(element) for element in transpose_matrix[i]]
+        joined_string = " ".join(converted_list)
+        print(joined_string)
+
+
+def transpose_side_diagonal():
+    make_a_matrix()
+    transpose_matrix = [[a_matrix[j][i] for j in reversed(range(a_rows))] for i in reversed(range(a_columns))]
+    for i in range(len(transpose_matrix)):
+        converted_list = [str(element) for element in transpose_matrix[i]]
+        joined_string = " ".join(converted_list)
+        print(joined_string)
+
+
+def transpose_vertical_line():
+    make_a_matrix()
+    for i in range(a_rows):
+        a_matrix[i].reverse()
+        converted_list = [str(element) for element in a_matrix[i]]
+        joined_string = " ".join(converted_list)
+        print(joined_string)
+
+def transpose_horizontal_line():
+    make_a_matrix()
+    a_matrix.reverse()
+    for i in range(a_rows):
+        converted_list = [str(element) for element in a_matrix[i]]
+        joined_string = " ".join(converted_list)
+        print(joined_string)
+
+def determinant():
+    make_a_matrix()
+    if a_rows != a_columns:
+        print("The operation cannot be performed.")
+    else:
+        det = np.linalg.det(a_matrix)
+        print("The result is: ")
+        print(det)
+
+def inverse_matrix():
+    make_a_matrix()
+    det = np.linalg.det(a_matrix)
+    if det == 0:
+        print("This matrix doesn't have an inverse.")
+    else:
+        inverse = np.linalg.inv(a_matrix)
+        print("The result is: ")
+        for i in range(len(inverse)):
+            converted_list = [str(element) for element in inverse[i]]
+            joined_string = " ".join(converted_list)
+            print(joined_string)
+menu()