Python numpy.ndarray.view()
numpy.ndarray.view()有助于获得一个具有相同数据的数组的新视图。
语法: ndarray.view(dtype=None, type=None)
参数:
dtype :返回的视图的数据类型描述符,例如,float32或int16。默认情况下,无,导致视图的数据类型与a相同。
type : Python类型,可选
返回: ndarray 或 matrix。
代码 #1:
# 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)
输出:
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:
# 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)
输出:
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:
# 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)