넘파이

1차원 배열 생성(Vector)

import numpy as np

A = np.array([1,2,3])
B = np.array([4,5,6])
print("A==",A,",B==",B)
print("vector A shape ==", A.shape, ",vector B shape ==", B.shape)
print("vector A dimension ==",A.ndim, ",vecto B dimension ==", B.ndim)

A == [1,2,3], B == [4,5,6]
vector A shape == (3,), vector B shape == (3,)
vector A dimension ==1, vector B dimension == 1

 

2차원배열 생성(Matrix)

import numpy as np

A = np.array([[1,2,3],[4,5,6]])
B = np.array([[-1,-2,-3],[-4,-5,-6]])
print("A==",A,",B==",B)
print("vector A shape ==", A.shape, ",vector B shape ==", B.shape)
print("vector A dimension ==",A.ndim, ",vecto B dimension ==", B.ndim)

A == [[1,2,3],[4,5,6]], B == [[-1,-2,-3],[-4,-5,-6]]
vector A shape == (2, 3), vector B shape == (2, 3)
vector A dimension == 2, vector B dimension == 2

 

※ 1차원으로 묶은 수를 수학에서 벡터(vector)라 부르며 행만 구성된 것을 행백터, 열만으로 구성된 것을 열벡터라 부른다.

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참고사이트:

https://velog.io/@mjk3136/%ED%96%89%EB%A0%AC-%EB%BF%8C%EC%85%94%EB%B2%84%EB%A6%AC%EA%B8%B0

배열(array), 행렬(matrix), 벡터(vector)에 대해 알아보자