View source for Python: Operações com Matrizes do módulo Numpy

= Operações com Matrizes =

== Usando o tipo array ==

 #!/usr/bin/python
 from numpy import *
 
 arr =  array(
    [
        [1,2,3,4,5,6],
        [7,8,9,10,11,12]  
    ])
 
 print("arr: \n", arr)
 print()
 print("dimensions: ", arr.ndim)
 print("shape (rows,colums): ", arr.shape)
 print("size: ", arr.size) 
 
 arr2 = arr.flatten()
 print("arr.flatten: ", arr2)
 
 arr3 = arr.reshape(3,4)
 print("arr.reshape: \n", arr3)
 
 arr4 = arr.reshape(2,2,3)
 print("arr.reshape: \n", arr4)

Resultado:

 arr:
 [[ 1  2  3  4  5  6]
 [ 7  8  9 10 11 12]]
 
 dimensions:  2
 shape (rows,colums):  (2, 6)
 size:  12
 arr.flatten:  [ 1  2  3  4  5  6  7  8  9 10 11 12]
 arr.reshape:
 [[ 1  2  3  4]
 [ 5  6  7  8]
 [ 9 10 11 12]]
 
 arr.reshape:
 [[[ 1  2  3]
  [ 4  5  6]]
 
 [[ 7  8  9]
  [10 11 12]]]

== Usando o tipo matrix ==

 #!/usr/bin/python
 from numpy import *
 
 m = matrix('1 2 3; 6 9 2; 2 6 9')
 m2 = matrix('2 3 1; 2 1 6; 5 4 2')
 
 print("m:")
 print(m) 
 
 print("m.max:\n", m.max())
 
 m3 = m + m2
 print("m2:")
 print(m2)
 print("m3 = m + m2 :")
 print(m3)

resultado:

 m:
 [[1 2 3]
  [6 9 2]
  [2 6 9]]
 m.max:
 9
 m2:
 [[2 3 1]
  [2 1 6]
  [5 4 2]]
 m3 = m + m2 :
 [[ 3  5  4]
  [ 8 10  8]
  [ 7 10 11]]

= Ver também =

* [[Python| Artigos sobre Python]]

[[Category:Python]]
[[Category:Numpy]]