tions and me
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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create a flowchart discuss the functions and methods
![[30] def mat_operations (mat1, mat2):
mat1 = np.array (mat1)
mat2 = np.array (mat2)
print('Matrix 1:', mat1)
print('Matrix 2:', mat2)
if (mat1.shape != mat2.shape):
print('The shape of both matrices are not same. Could not perform operations.')
return
print('Sum of the given matrices:')
msum = mat1 + mat2
print (msum)
print('Difference of the given matrices:')
mdiff = mat1
mat2
print (mdiff)
print('Element-wise multiplication of the given matrices:')
mmul = np.multiply(mat1, mat2)
print (mmul)
print ('Element-wise division of the given matrices:')
mmul = np.divide(mat1, mat2)
print (mmul)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F669d4a79-2169-42a9-b2ae-e9252928d27f%2F0b42d1a1-9edc-4d33-9a5e-5f6992a47a11%2F7rn49ui_processed.png&w=3840&q=75)
Transcribed Image Text:[30] def mat_operations (mat1, mat2):
mat1 = np.array (mat1)
mat2 = np.array (mat2)
print('Matrix 1:', mat1)
print('Matrix 2:', mat2)
if (mat1.shape != mat2.shape):
print('The shape of both matrices are not same. Could not perform operations.')
return
print('Sum of the given matrices:')
msum = mat1 + mat2
print (msum)
print('Difference of the given matrices:')
mdiff = mat1
mat2
print (mdiff)
print('Element-wise multiplication of the given matrices:')
mmul = np.multiply(mat1, mat2)
print (mmul)
print ('Element-wise division of the given matrices:')
mmul = np.divide(mat1, mat2)
print (mmul)
![[28] def mat_desc (mat):
sq = False
mat = np.array(mat)
print (mat)
print('Shape: ', mat.shape)
print('Size:', mat.size)
print ('Rank:', np.linalg.matrix_rank(mat))
if (mat.shape[0]
sq = True
print('The matrix is square')
mat.shape[1]):
=3D
else:
print('The matrix is non-square')
if (mat.shape[0] == 0 and mat.shape[1]
print('The matrix is empty')
0):
==
else:
print('The matrix is not empty')
iden = np.identity(mat.shape[0])
if(sq and (iden == mat).all()):
print('The matrix is an identity matrix')
else:
print('The matrix is not an identity matrix')
one = np.ones ((mat.shape[0], mat.shape[1]))
if((one == mat).all()):
print('The matrix is an ones matrix')
else:
print('The matrix is not an ones matrix')
np.zeros ( (mat.shape[0], mat.shape[1]))
zero =
if((zero == mat).all()):
print('The matrix is an zeros matrix')
else:
print('The matrix is not a zeros matrix')](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F669d4a79-2169-42a9-b2ae-e9252928d27f%2F0b42d1a1-9edc-4d33-9a5e-5f6992a47a11%2Fhyyrxxg_processed.png&w=3840&q=75)
Transcribed Image Text:[28] def mat_desc (mat):
sq = False
mat = np.array(mat)
print (mat)
print('Shape: ', mat.shape)
print('Size:', mat.size)
print ('Rank:', np.linalg.matrix_rank(mat))
if (mat.shape[0]
sq = True
print('The matrix is square')
mat.shape[1]):
=3D
else:
print('The matrix is non-square')
if (mat.shape[0] == 0 and mat.shape[1]
print('The matrix is empty')
0):
==
else:
print('The matrix is not empty')
iden = np.identity(mat.shape[0])
if(sq and (iden == mat).all()):
print('The matrix is an identity matrix')
else:
print('The matrix is not an identity matrix')
one = np.ones ((mat.shape[0], mat.shape[1]))
if((one == mat).all()):
print('The matrix is an ones matrix')
else:
print('The matrix is not an ones matrix')
np.zeros ( (mat.shape[0], mat.shape[1]))
zero =
if((zero == mat).all()):
print('The matrix is an zeros matrix')
else:
print('The matrix is not a zeros matrix')
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