Numpy. section5 : ndarray의 원소별 연산과 브로드캐스팅. Lec20. ndim이 2일 때의 브로드캐스팅

[1] ndim이 2일 때의 브로드캐스팅

• 1이 맞춰지면서 브로드캐스팅이 일어난다

• (2,3,3) + (1,3,3)
  

• (2,3,3) + (2,1,3)
  

• (2,3,3) + (2,3,1)
  

#(2,3,3) + (1,3,3)

import numpy as np

A = np.arange(18).reshape((2,3,3))
B = 10*np.arange(9).reshape((1,3,3))
C = A + B

print("A: {}/{}\n{}".format(A.ndim, A.shape, A))
print("B: {}/{}\n{}\n".format(A.ndim, B.shape, B))

print("A + B: {}/{}\n{}".format(A.ndim, C.shape, C))

#(2,3,3) + (2,1,3)

import numpy as np

A = np.arange(18).reshape((2,3,3))
B = 10*np.arange(9).reshape((2,1,3))
C = A + B

print("A: {}/{}\n{}".format(A.ndim, A.shape, A))
print("B: {}/{}\n{}\n".format(A.ndim, B.shape, B))

print("A + B: {}/{}\n{}".format(A.ndim, C.shape, C))

#(2,3,3) + (2,3,1)

import numpy as np

A = np.arange(18).reshape((2,3,3))
B = 10*np.arange(9).reshape((2,3,1))
C = A + B

print("A: {}/{}\n{}".format(A.ndim, A.shape, A))
print("B: {}/{}\n{}\n".format(A.ndim, B.shape, B))

print("A + B: {}/{}\n{}".format(A.ndim, C.shape, C))