Before letting you know about the exact answer of Is it Possible to Negate a Boolean in Python? You must know what is the meaning of negating (negate) in layman’s language. So, as you may already know that a** Boolean Expression** consists of two values **True** and **False.** ** By, negating a boolean expression in Python means that the True value will become False and the False value will become True.**

Therefore, we can conclude that negating a Boolean expression or a value in Python meaning to evaluate the exact opposite of the returned Boolean value. Now, I am assuming that you get a clear cut idea about what is negating a Boolean expression in Python. So, let’s move to our question which is, Is it Possible to Negate a Boolean in Python? in the next section.

Contents of Tutorial

## Is it Possible to Negate a Boolean in Python?

**The short answer is Yes,** it possible to negate a Boolean in Python. The best thing about the python programming language is there are several ways to achieve the same goal, and all of them are quite easy and to the point. There are basically **six ways** to negate a Boolean in Python. Let’s dig a little more and see what these methods are and how you can use them in the best possible way.

## Ways to Negate a Boolean in Python

- Using the not operator
- Using the operator.not_() function
- Numpy array and ~
- Using numpy.bitwise_not()
- Numpy invert
- Numpy logical not

Consequently now we will jump directly to perceive the working and examples of the above five methods to negate a Boolean.

## Negating a Boolean in Python Using the not Operator

If you don’t know about not keyword, let me explain that the not keyword is a logical operator in Python. The specialty of not operator is it returns the opposite value of the statement. Meaning the **not** operator’s return value will be True if the statements are not **True**; otherwise, it will return **False.**

Let’s see the working with an example.

### Example Using not operator:

value = True print(value) print (not value)

**Output:**

```
True
False
```

The above example is straight-forward to negate a value or expression. As you can see we have assigned True to a variable value. After that we printed it and our output is **True** as expected. But at the next line we used not operator too inside the print function. So, this time we get the output as **False**. Hence we have successfully negated a Boolean expression with the help of not operator in Python.

## Using the operator.not_() Function to Negate a Boolean Expression in Python

We can also negate the Boolean expression using a function named **operator.not_().** This function is a library function that is present in the operator module in python. To use the operator.not_() method in our code snippet, we need to import the operator module in our program. It is similar to the not operator, which we already covered in the above section. This method can be really beneficial when a function is needed instead of a keyword. It can also be used quite efficiently* with higher-order functions such as map or filter.*

import operator print("operator.not_(True) will return:", operator.not_(True)) print("operator.not_(False) will return:", operator.not_(False))

**Output:**

```
operator.not_(True) will return: False
operator.not_(False) will return: True
```

In the above example, we have observed that we can easily negate a **Boolean **expression in Python using the operator.not_() method. This method’s return type is **bool**; it **returns True** if the value is zero or false; otherwise, it **returns False**.

**Note: We need to import the operator module to use this function.**

## Numpy Array and ~ to Negate Boolean in Python

By using the numpy array library and the bitwise operator ‘**~’** pronounced as a tilde. We can easily negate a Boolean value in Python. The tilde operator takes a one-bit operand and returns its complement. If the operand is 1, it returns 0, and vice-versa.

Let’ see how numpy array and **(~)** tilde work together and negate a Boolean in Python through an example.

**Note: Here 0 can be **counterbalanced as **False** and **1** can be equalized as **True.**

### Example Using ~ Bitwise operator tilde to negate a boolean

import numpy as np x = np.array([True, False]) x = ~ x print(x)

**Output:**

`[False True]`

The important thing in the above example is that we need to use the ~ Bitwise operator with the numpy module. In the above example, we created a **numpy array** named **(x)** with boolean values True and False. Subsequently, with ~ Bitwise operator, we negated the boolean values in the numpy array. Hence True becomes False, and False becomes True.

## Using numpy.bitwise_not() to Negate Boolean Values in Python

NumPy is a very vast and powerful module of python. It provides us with several functions and one of which is **Numpy.bitwise_not()**. **numpy.bitwise_not()** function is used to Compute the bit-wise **NOT** or bit-wise **inversion**, element-wise of two arrays element-wise. This function computes the bitwise **NOT** of the underlying binary representation of the input arrays.

Let’ see how numpy array and **numpy.bitwise_not()** works together and negate a Boolean in Python through an example.

### Example Using Numpy.bitwise_not function to negate a boolean

import numpy as np x = np.array([True, False]) x = np.bitwise_not(x) print(x)

**Output:**

`[False True]`

The above example uses the numpy module. So, make sure that numpy is already installed. Here also like in the case of Bitwise **tilde** operator we initialized a numpy array **x** with two **Boolean** values **True** and **False**. After that with the help of the function **np.bitwise_not** we negated the boolean values.

## Numpy invert to Negate the Boolean Value

Numpy is one of the most popular libraries in python. It can be used for scientific and numeric computing that lets you work with multi-dimensional arrays far more efficiently. The numpy arrays are densely packed arrays of homogeneous type.

Numpy.invert() function is utilized to interrogate the bit-wise Inversion of an array element-wise. It calculates the bit-wise NOT of the underlying binary representation of the Boolean from the input arrays.

Let’ see how numpy array and **numpy.invert** works together and negate a Boolean in Python through an example.

### Example Using Numpy invert

import numpy as np x = np.array([True, False]) x = np.invert(x) print(x)

**Output:**

`[False True]`

## Using Numpy Logical Not

Coming to our last way to negate a Boolean, we have Numpy Logical Not. Th Numpy logical **Not** computes the truth value of NOT x element-wise. The logical Not operator returns an array with Boolean results of NOT element-wise.

Let’ see how numpy array and **numpy logical not** works together and negate a Boolean in Python through an example.

### Example Using Numpy Logical Not

import numpy as np x = np.array([True, False]) x = np.logical_not(x) print(x)

**Output:**

`[False True]`

## Conclusion

In conclusion, I can say I have tried to blend all the six ways to Negate a Boolean in Python. The best way to negate depends upon the requirement of the user or the program. If you are using the Numpy module, then you have four ways. And if you don’t want to use numpy, you can still use the two available methods. In the future, if I find more ways, I will update this article asap.

However, if you have any doubts or questions, do let me know in the comment section below. I will try to help you as soon as possible.

*Happy Pythoning!*

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