python 中的 numpy . ndarray . view()
哎哎哎:# t0]https://www . geeksforgeeks . org/num py-ndaarray-view-in-python/
numpy.ndarray.view() 有助于获得具有相同数据的数组的新视图。
语法: ndarray.view(dtype=None，type=None) 参数: dtype : 返回视图的数据类型描述符，例如 float32 或 int16。默认值“无”导致视图具有与 a 相同的数据类型。 类型: Python 类型，可选的 返回:数组或矩阵。
代码#1:
蟒蛇 3
# Python program explaining
# numpy.ndarray.view() function
import numpy as geek
a = geek.arange(10, dtype ='int16')
print("a is: \n", a)
# using view() method
v = a.view('int32')
print("\n After using view() with dtype = 'int32' a is : \n", a)
v += 1
# addition of 1 to each element of v
print("\n After using view() with dtype = 'int32' and adding 1 a is : \n", a)
Output:
a is:
[0 1 2 3 4 5 6 7 8 9]
After using view() with dtype = 'int32' a is :
[0 1 2 3 4 5 6 7 8 9]
After using view() with dtype = 'int32' and adding 1 a is :
[1 1 3 3 5 5 7 7 9 9]
代码#2:
蟒蛇 3
# Python program explaining
# numpy.ndarray.view() function
import numpy as geek
a = geek.arange(10, dtype ='int16')
print("a is:", a)
# Using view() method
v = a.view('int16')
print("\n After using view() with dtype = 'int16' a is :\n", a)
v += 1
# addition of 1 to each element of v
print("\n After using view() with dtype = 'int16' and adding 1 a is : \n", a)
Output:
a is: [0 1 2 3 4 5 6 7 8 9]
After using view() with dtype = 'int16' a is :
[0 1 2 3 4 5 6 7 8 9]
After using view() with dtype = 'int16' and adding 1 a is :
[ 1 2 3 4 5 6 7 8 9 10]
代码#3:
蟒蛇 3
# Python program explaining
# numpy.ndarray.view() function
import numpy as geek
a = geek.arange(10, dtype ='int16')
print("a is: \n", a)
v = a.view('int8')
print("\n After using view() with dtype = 'int8' a is : \n", a)
v += 1
# addition of 1 to each element of v
print("\n After using view() with dtype = 'int8' and adding 1 a is : \n", a)
