numpy.ndarray.view()有助于获得具有相同数据的数组的新视图。
用法： 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。默认值为None(无)，导致视图具有与a相同的数据类型。
type:Python类型，可选
返回:ndarray或矩阵。
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 Ater using view() with dtype = 'int8' 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 = 'int8' a is: [0 1 2 3 4 5 6 7 8 9] Ater using view() with dtype = 'int8' and adding 1 a is: [257 258 259 260 261 262 263 264 265 266]
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注：本文由纯净天空筛选整理自ArkadipGhosh大神的英文原创作品 numpy.ndarray.view() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。