numpy.ndarray.view()有助於獲得具有相同數據的數組的新視圖。
用法： ndarray.view(dtype=None, type=None)
參數:
dtype:返回視圖的數據類型描述符，例如float32或int16。默認值為None(無)，導致視圖具有與a相同的數據類型。
type:Python類型，可選
返回:ndarray或矩陣。
代碼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)
輸出：
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]
代碼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)
輸出：
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]
代碼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)
輸出：
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]
相關用法
注：本文由純淨天空篩選整理自ArkadipGhosh大神的英文原創作品 numpy.ndarray.view() in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。