198 lines
3.6 KiB
Markdown
198 lines
3.6 KiB
Markdown
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# 5 NumPy 位运算就知道了！
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> 原文：<https://www.askpython.com/python-modules/numpy/numpy-bitwise-operations>
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读者朋友们，你们好！在本文中，我们将重点关注我们应该知道的 **5 NumPy 位操作**！
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所以，让我们开始吧！
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首先，按位[操作符](https://www.askpython.com/python/python-operators)帮助我们执行位级操作，即通过函数中包含的抽象层进行逐位操作。
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在主题课程中，我们将在本文中讨论以下主题——
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1. **和操作**
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2. **或操作**
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3. **异或运算**
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4. **反转操作**
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5. **整数到二进制表示法**
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让我们开始吧！🙂
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* * *
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## 1.NumPy 位操作–AND
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**NumPy 位 AND 运算符**使我们能够像输入值一样对数组执行位 AND 运算。也就是说，它对输入整数值的二进制表示执行 AND 运算。
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**语法:**
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```py
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numpy.bitwise_and(num1,num2)
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```
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**举例:**
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在下面的示例中，bitwise_and()函数将整数值 2 和 3 转换为等效的二进制值，即 2 ~ 010 和 3 ~ 011。此外，它执行 AND 运算，如果两个等价位都是 1，则返回 1 作为结果位，否则返回 0。
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```py
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import numpy as np
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x = 2
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y = 3
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print ("x=",x)
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print ("y=",y)
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res_and = np.bitwise_and(x, y)
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print ("Bitwise AND result: ", res_and)
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```
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**输出:**
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```py
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x= 2
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y= 3
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Bitwise AND result: 2
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```
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* * *
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## 2.按位或运算
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与 AND 运算一样， **[NumPy](https://www.askpython.com/python-modules/numpy/python-numpy-arrays)** 也为我们提供了`numpy.bitwise_or() function`，使我们能够对数据值执行 NumPy 位“或”运算。
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**语法:**
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```py
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numpy.bitwise_or(num1,num2)
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```
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**举例:**
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在本例中，bitwise_or()函数对两个整数值执行 or 运算。在 OR 运算中，如果两位相同，即 0/0，则返回 0，否则返回 1。
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```py
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import numpy as np
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x = 2
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y = 3
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print ("x=",x)
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print ("y=",y)
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res_or = np.bitwise_or(x, y)
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print ("Bitwise OR result: ", res_or)
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```
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**输出:**
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```py
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x= 2
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y= 3
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Bitwise OR result: 3
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```
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* * *
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## 3.逐位异或运算
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XOR 运算是 NumPy 位运算之一。我们可以使用 numpy.bitwise_xor()函数来执行运算。这样，我们可以很容易地对使用的逐位数据执行逐位 XOR 运算。
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**举例:**
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```py
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import numpy as np
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x = 2
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y = 3
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print ("x=",x)
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print ("y=",y)
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res_xor = np.bitwise_xor(x, y)
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print ("Bitwise XOR result: ", res_xor)
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```
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**输出:**
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```py
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x= 2
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y= 3
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Bitwise XOR result: 1
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```
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* * *
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## 4.逐位反转操作
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使用 numpy.invert()函数执行按位反转操作。我们的意思是，它对内部处理为二进制表示格式的数据位执行逐位 NOT 运算。
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对于有符号整数，返回二进制补码值。
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**举例:**
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```py
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import numpy as np
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x = 2
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y = 3
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print ("x=",x)
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res = np.invert(x)
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print ("Bitwise Invert operation result: ", res)
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```
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**输出:**
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```py
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x= 2
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Bitwise Invert operation result: -3
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```
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* * *
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## 5.二进制表示法
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使用 NumPy 模块，我们可以显式地将整数值转换为二进制数。 `binary_repr()` 函数使我们能够轻松地将整数数据值转换为二进制值。
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**语法:**
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```py
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numpy.binary_repr()
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```
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**举例:**
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```py
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import numpy as np
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x = 7
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print ("x=",x)
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res = np.binary_repr(x)
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print ("Bitwise representation of x: ", res)
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```
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**输出:**
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在本例中，我们已经将 int 值“7”转换为其等效的二进制表示形式。
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```py
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x= 7
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Bitwise representation of x: 111
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```
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* * *
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## 结论
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到此，我们就结束了这个话题。如果你遇到任何问题，欢迎在下面评论。
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更多与 Python 编程相关的帖子，请继续关注我们。
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在那之前，学习愉快！！🙂
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