numpy 재 학습 시리즈 (4) - np. zeros 로 충전 요 소 를 0 으로 만 드 는 방법 array

\ # \ # \ # 숫자 0 을 만 드 는 array 'np. zeros 의 용법
numpy.zeros
numpy.zeros(shape, dtype=float, order='C') Return a new array of given shape and type, filled with zeros.
Parameters
shape   int or tuple of ints         Shape of the new array, e.g., (2, 3) or 2.          dtype   data-type, optional
        The desired data-type for the array, e.g., numpy.int8. Default is numpy.float64. order   {‘C’, ‘F’}, optional, default: ‘C’         Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory. Returns out  ndarray      Array of zeros with the given shape, dtype, and order. '''
 

# np.zeros     ，
#      shape     array   ，    ，     tuple  ；
#            ，    ，    float64
#       array   ，    -“C”  “F”，        
import numpy as np
#   shape   

#  
a=np.zeros(2)

print("      array
",a)

#  
b=np.zeros((2,3))

print("      array
",b)

#  
c=np.zeros((3,2,2))

print("      array
",c)

#         ，          ，   、         、   

#   dtype   

d=np.zeros((2,3),dtype="int")

print("      array
",d)

#   order   
e=np.zeros((2,3),dtype="int",order="F")
print("      array
",e)

f=np.zeros((3,2,2),order="F")

print("      array
",f)
#   order   ，  order         ，          0，                 。

      array
 [0. 0.]
      array
 [[0. 0. 0.]
 [0. 0. 0.]]
      array
 [[[0. 0.]
  [0. 0.]]

 [[0. 0.]
  [0. 0.]]

 [[0. 0.]
  [0. 0.]]]
      array
 [[0 0 0]
 [0 0 0]]
      array
 [[0 0 0]
 [0 0 0]]
      array
 [[[0. 0.]
  [0. 0.]]

 [[0. 0.]
  [0. 0.]]

 [[0. 0.]
  [0. 0.]]]