Python numpy.full_like()用法及代码示例

numpy.full_like(a，fill_value，dtype = None，order ='K'，subok = True)：返回形状和类型与给定数组相同的新数组。
参数：

shape : Number of rows
order : C_contiguous or F_contiguous
dtype : [optional, float(by Default )] Data type of returned array.  
subok : [bool, optional] to make subclass of a or not

返回值：

ndarray

# Python Programming illustrating 
# numpy.full_like method 
  
import numpy as geek 
  
x = geek.arange(10, dtype = int).reshape(2, 5) 
print("x before full_like : \n", x) 
  
# using full_like 
print("\nx after full_like : \n", geek.full_like(x, 10.0)) 
  
y = geek.arange(10, dtype = float).reshape(2, 5) 
print("\n\ny before full_like : \n", x) 
  
# using full_like 
print("\ny after full_like : \n", geek.full_like(y, 0.01))

输出：

x before full_like : 
 [[0 1 2 3 4]
 [5 6 7 8 9]]

x after full_like : 
 [[10 10 10 10 10]
 [10 10 10 10 10]]


y before full_like : 
 [[0 1 2 3 4]
 [5 6 7 8 9]]

y after full_like : 
 [[ 0.01  0.01  0.01  0.01  0.01]
 [ 0.01  0.01  0.01  0.01  0.01]]