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Python numpy.ones_like()用法及代碼示例


numpy.ones_like(array,dtype = None,order ='K',subok = True):將給定形狀和類型的數組返回給定數組,並帶有一個,
參數:

array : array_like input
subok  : [optional, boolean]If true, then newly created array will be sub-class of array; 
                 otherwise, a base-class array
order  : C_contiguous or F_contiguous
         C-contiguous order in memory(last index varies the fastest)
         C order means that operating row-rise on the array will be slightly quicker
         FORTRAN-contiguous order in memory (first index varies the fastest).
         F order means that column-wise operations will be faster. 
dtype  : [optional, float(byDeafult)] Data type of returned array.  

返回值:

ndarray of ones having given shape, order and datatype.
# Python Programming illustrating 
# numpy.ones_like method 
  
import numpy as geek 
  
array = geek.arange(10).reshape(5, 2) 
print("Original array : \n", array) 
  
  
b = geek.ones_like(array, float) 
print("\nMatrix b : \n", b) 
  
array = geek.arange(8) 
c = geek.ones_like(array) 
print("\nMatrix c : \n", c)

輸出:


Original array : 
 [[0 1]
 [2 3]
 [4 5]
 [6 7]
 [8 9]]

Matrix b : 
 [[ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]
 [ 1.  1.]]

Matrix c : 
 [1 1 1 1 1 1 1 1]

參考文獻:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ones_like.html
注意:
此外,這些代碼也無法在online-ID上運行。請在您的係統上運行它們以探索工作原理



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