python矩阵乘法_Python矩阵乘法
python矩阵乘法
Here you will get program for python matrix multiplication.
在这里，您将获得用于python矩阵乘法的程序。
If we want to multiple two matrices then it should satisfy one condition. We need to check this condition while implementing code without ignoring.
如果我们想将两个矩阵相乘，那么它应该满足一个条件。 我们需要在实现代码时检查此条件，而不能忽略。
Amxn x Bpxq then n should be equal to p. Then only we can multiply matrices. Now we will see how to multiply two matrices using python nested list matrix representation.
一个mxn x B pxq然后n应该等于p。 然后，只有我们才能相乘矩阵。 现在，我们将看到如何使用python嵌套列表矩阵表示法将两个矩阵相乘。
Python矩阵乘法 (Python Matrix Multiplication)
Below is python program to multiply two matrices.
下面是将两个矩阵相乘的python程序。
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def print_matrix(matrix):
for i in range(len(matrix)):
for j in range(len(matrix[0])):
print("\t",matrix[i][j],end=" ")
print("\n")
def main():
m = int( input("enter first matrix rows"));
n = int( input("enter first matrix columns"));
p = int( input("enter second matrix rows"));
q = int( input("enter second matrix columns"));
if( n != p):
print ("matrice multipilication not possible...");
exit();
#declaration of arrays
array1=[[0 for j in range (0 , n)] for i in range (0 , m)]
array2=[[0 for j in range (0 , q)] for i in range (0 , p)]
result=[[0 for j in range (0 , q)] for i in range (0 , m)]
#taking input from user
print ("enter first matrix elements:" )
for i in range(0 , m):
for j in range(0 , n):
array1[i][j]=int (input("enter element"))
print ("enter second matrix elements:")
for i in range(0 , p):
for j in range(0 , q):
array2[i][j]=int(input("enter element"))
print ("first matrix")
print_matrix(array1)
print ("second matrix")
print_matrix(array2)
#for multiplication
# i will run throgh each row of matrix1
for i in range(0 , m):
# j will run through each column of matrix 2
for j in range(0 , q):
# k will run throguh each row of matrix 2
for k in range(0 , n):
result[i][j] += array1[i][k] * array2[k][j]
#printing result
print ( "multiplication of two matrices:" )
print_matrix(result)
main()
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def print_matrix ( matrix ) :
for i in range ( len ( matrix ) ) :
for j in range ( len ( matrix [ 0 ] ) ) :
print ( "\t" , matrix [ i ] [ j ] , end = " " )
print ( "\n" )
def main ( ) :
m = int ( input ( "enter first matrix rows" ) ) ;
n = int ( input ( "enter first matrix columns" ) ) ;
p = int ( input ( "enter second matrix rows" ) ) ;
q = int ( input ( "enter second matrix columns" ) ) ;
if ( n != p ) :
print ( "matrice multipilication not possible..." ) ;
exit ( ) ;
#declaration of arrays
array1 = [ [ 0 for j in range ( 0 , n ) ] for i in range ( 0 , m ) ]
array2 = [ [ 0 for j in range ( 0 , q ) ] for i in range ( 0 , p ) ]
result = [ [ 0 for j in range ( 0 , q ) ] for i in range ( 0 , m ) ]
#taking input from user
print ( "enter first matrix elements:" )
for i in range ( 0 , m ) :
for j in range ( 0 , n ) :
array1 [ i ] [ j ] = int ( input ( "enter element" ) )
print ( "enter second matrix elements:" )
for i in range ( 0 , p ) :
for j in range ( 0 , q ) :
array2 [ i ] [ j ] = int ( input ( "enter element" ) )
print ( "first matrix" )
print_matrix ( array1 )
print ( "second matrix" )
print_matrix ( array2 )
#for multiplication
# i will run throgh each row of matrix1
for i in range ( 0 , m ) :
# j will run through each column of matrix 2
for j in range ( 0 , q ) :
# k will run throguh each row of matrix 2
for k in range ( 0 , n ) :
result [ i ] [ j ] += array1 [ i ] [ k ] * array2 [ k ] [ j ]
#printing result
print ( "multiplication of two matrices:" )
print_matrix ( result )
main ( )
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Output
输出量
翻译自: https://www.thecrazyprogrammer.com/2018/01/python-matrix-multiplication.html
python矩阵乘法