Attributeerror: module numpy has no attribute bool error occurs because numpy.bool() is deprecated from 1.24.0 version release of numpy. If your current numpy version is above then the mentioned one then you will get this error. Broadly there are two ways to fix this error. In this article we will explore both the solution.

## Attributeerror: module numpy has no attribute bool ( Solution ) –

The first solution to fix up this error is downgrading the numpy version. The second alternative is changing the syntax which is compatible with the numpy version and preserving the same functionality.

### Solution 1: Downgrading numpy version –

Since this error is because of syntax depreciation of numpy.bool(). But if we point to the library version where this syntax is available. Here is the command for downgrading numpy version.

`pip install numpy==1.23.5`

You can use conda or any other package manager if you want in place of pip.

### Solution 2: Use astype(bool) function instead of np.bool() –

There are many situations where we have to use any numpy version which is creating incompatibility with the install python interpreter version or any third package error. If we can not change the version then we should use the alternative syntax. Here is an example.

```
import numpy as np
a= np.array([1, 2])
final = a.astype(bool)
print(final)
```

Let’s run the above code and see the output.

In the above code, we used astype(bool) function which provides similar functionality as np.bool(). If you integrate this function as per your use case then this error will be easily fixed.

Also if you want to explore more on the generic ways to fix the attributeerror then read the below article.

What is AttributeError in Python ? Complete Overview

The above article is a masterpiece for all type of AttributeError. Actually, it provides a prospective to fix any kind of attributeerror.

**Thanks**

**Data Science Learner Team**

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