A python package to calculate Matrix math problems.
python version: 3.6 and above.
pip3 install xmatrix --upgrade
Matrix("row ; row ...") or Matrix([[1,2,3],[4,5,6],[7,8,9]])
xm("row ; row ...") or xm([[1,2,3],[4,5,6],[7,8,9]])
my_matrix = Matrix ("1,2;3,4" )
my_matrix_also_equal_to = xm ("1,2;3,4" )
#result:
[1 , 2 ]
[3 , 4 ]
we also support bigger matrix
my_matrix = xm ("1,2,3;4,5,6;7,8,9" )
#result:
[1 , 2 , 3 ]
[4 , 5 , 6 ]
[7 , 8 , 9 ]
my_matrix = xm ("1,2;3,4" )
my_matrix2 = xm ("4,6;2,9" )
print (my_matrix + my_matrix2 )
#result:
[5 , 8 ]
[5 , 13 ]
print (my_matrix - my_matrix2 )
#result:
[- 3 , - 4 ]
[1 , - 5 ]
print (my_matrix * my_matrix2 )
#result:
[8 , 24 ]
[20 , 54 ]
print (my_matrix * 87 )
#result:
[87 , 174 ]
[261 , 348 ]
print (my_matrix ** 7 )
#result:
[30853 , 44966 ]
[67449 , 98302 ]
print (my_matrix == my_matrix2 )
#result:
False
my_matrix = xm ("1,2,3;4,5,6;7,8,9" )
print (my_matrix )
#result:
[1 , 2 , 3 ]
[4 , 5 , 6 ]
[7 , 8 , 9 ]
print (my_matrix .transpose )
print (my_matrix .tp )
#result:
[1 , 4 , 7 ]
[2 , 5 , 8 ]
[3 , 6 , 9 ]
my_matrix2 = xm ("1,2,3,4;5,6,7,8;9,10,11,12;13.1,14.2,15.3,16.4" )
print (my_matrix2 )
#result:
[1 , 2 , 3 , 4 ]
[5 , 6 , 7 , 8 ]
[9 , 10 , 11 , 12 ]
[13.1 , 14.2 , 15.3 , 16.4 ]
print (my_matrix2 .tp )
#result:
[1 , 5 , 9 , 13.1 ]
[2 , 6 , 10 , 14.2 ]
[3 , 7 , 11 , 15.3 ]
[4 , 8 , 12 , 16.4 ]
my_matrix = xm ("1,2;3,4" )
print (my_matrix )
#result:
[1 , 2 ]
[3 , 4 ]
print (my_matrix .inverse )
print (my_matrix .iv )
#result:
[- 2 , 1 ]
[1.5 , - 0.5 ]
#special use by '**' power operator:
print (my_matrix ** - 1 )
#result:
[- 2 , 1 ]
[1.5 , - 0.5 ]
my_matrix2 = xm ("1,2,3;4,5,6;7,8,9" )
print (my_matrix2 )
#result:
[1 , 2 , 3 ]
[4 , 5 , 6 ]
[7 , 8 , 9 ]
print (my_matrix2 .iv )
#result:
#The determinant is zero, can't be inverse.
#None
my_matrix3 = xm ("1,1,1;1,2,3;1,4,5" )
print (my_matrix3 )
#result:
[1 , 1 , 1 ]
[1 , 2 , 3 ]
[1 , 4 , 5 ]
print (my_matrix3 .inverse )
#result:
[1 , 0.5 , - 0.5 ]
[1 , - 2 , 1 ]
[- 1 , 1.5 , - 0.5 ]
my_matrix4 = xm ("1,1,2,1;1,1,0,0;1,1,0,1;1,0,1,0" )
print (my_matrix4 )
#result:
[1 , 1 , 2 , 1 ]
[1 , 1 , 0 , 0 ]
[1 , 1 , 0 , 1 ]
[1 , 0 , 1 , 0 ]
print (my_matrix4 .iv )
#result:
[- 0.5 , 0 , 0.5 , 1 ]
[0.5 , 1 , - 0.5 , - 1 ]
[0.5 , 0 , - 0.5 , 0 ]
[0 , - 1 , 1 , 0 ]
#and more...
my_matrix = xm ("1,2,3;4,5,6;7,8,9" )
print (my_matrix .raw )
#result:
[[1 , 2 , 3 ], [4 , 5 , 6 ], [7 , 8 , 9 ]]
i = IdentityMatrix (3 )
i_also_equal_to = ixm (3 )
#result:
print (i )
[1 , 0 , 0 ]
[0 , 1 , 0 ]
[0 , 0 , 1 ]
Gaussian elimination Row Reduced Echelon Form
my_matrix = xm ('1,-3,2,8;-1,4,-2,-9;-3,9,4,6' )
#result
print (my_matrix )
[1 , - 3 , 2 , 8 ]
[- 1 , 4 , - 2 , - 9 ]
[- 3 , 9 , 4 , 6 ]
# Row Reduced Echelon Form (rref)
print (my_matrix .rref )
[1 , 0 , 0 , - 1 ]
[0 , 1 , 0 , - 1 ]
[0 , 0 , 1 , 3 ]