The ** “attributeerror: module ‘numpy’ has no attribute ‘float’“** is an error message in Python while you are using numpy. It occurs when you are trying to use the float method on a numpy array but it doesn’t exist in the numpy module.

In this article, we are going to show you the solutions, and aside from that, you’ll discover why this error keeps disturbing you.

So, keep on reading until the end of this discussion in order to fix the ** “attributeerror: module numpy has no attribute float“** error message that you are dealing with right now.

## What is NumPy?

The ** NumPy **is a Python powerful library that adds support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions.

It’s widely used in various fields such as:

- scientific computing
- data analysis
- machine learning

## What is attributeerror: module ‘numpy’ has no attribute ‘float’ error?

This ** “attributeerror: module ‘numpy’ has no attribute ‘float’“** error message indicates that the NumPy module doesn’t have a float attribute. In addition to that, this error is commonly encountered when you are trying to perform an operation on a NumPy array that requires a float data type.

### Why this error occur?

In the ** Numpy version 1.20 **and the recent release of

**,**

*Numpy version 1.24***has been deprecated or removed, which is why this error occurs, but there are numerous ways to fix it.**

*“numpy.float*“**Note:** *If you are using Numpy version 1.24 or later, you’ll still encounter this error. If you try to access numpy.float.*

### How to fix this error?

Time needed: 2 minutes

This error is easily fixable; you just have to address it accordingly.

**Check support system for float data type:****import numpy as np**

print(np.finfo(float))

Using the code above, it will provide a list of information about the float data type that includes max and min representable values.**Sample output:***Machine parameters for float64**precision = 15 resolution = 1.0000000000000001e-15*

machep = -52 eps = 2.2204460492503131e-16

negep = -53 epsneg = 1.1102230246251565e-16

minexp = -1022 tiny = 2.2250738585072014e-308

maxexp = 1024 max = 1.7976931348623157e+308

nexp = 11 min = -max

smallest_normal = 2.2250738585072014e-308 smallest_subnormal = 4.9406564584124654e-32**Check Python version***import numpy as np*

print(np.__version__)**Sample output:***1.23.5***Check your code for typos or syntax errors**You have to check and ensure your code if you are using the correct syntax or if there’s a typo in your code.

## Solution for “attributeerror: module ‘numpy’ has no attribute ‘float'” error

The following are the various solutions you may use to fix the “** numpy has no attribute float**” error message:

### Solution 1: Modify your code use astype method

When you are trying to use the float attribute of numpy to convert an array or a value to a floating point number, you can use the astype method of numpy arrays instead.

```
import numpy as np
```*# Convert an array to floating point*
arr = np.array([1, 4, 3])
arr = arr.astype(float)
print(arr)
*# Convert a single value to floating point
*
val = 1
val = float(val)
print(val)

**Note: ***You can simply replace the deprecated NumPy float method with the equivalent Python built-in type; for instance, numpy.float becomes a plain “float.” Python*

**Output:**

```
[1. 4. 3.]
3.0
```

### Solution 2: Convert an array to floating point 32

In case you still want the numpy scalar type, you could use the np.float32, np.float64, or np.float128.

```
import numpy as np
arr = np.array([1, 4, 3])
arr = arr.astype(np.float32)
print(arr)
```

In the latest version of ** numpy the np.float** has been deprecated but np.float32 is not included. So, you can this as an alternative way to resolve the error.

Output:

`[1. 4. 3.]`

### Solution 3: Upgrade Numpy version

If you are using numpy version 1.24, then you are trying to use * numpy.floa*t certainly this error will occur. Updating numpy version will resolve this error. You can use the following command:

**pip install --upgrade numpy**

## Related Articles for Python Errors

- Attributeerror: module ‘math’ has no attribute ‘dist’
- Attributeerror: ‘dataframe’ object has no attribute ‘_jdf’
- Attributeerror: module matplotlib has no attribute get_data_path

## Conclusion

This article has already provided different solutions that you can use to fix the** “attributeerror: module ‘numpy’ has no attribute ‘float’” **error message in Python.

We are hoping that this article provides you with a sufficient solution; if yes, we would love to hear some thoughts from you.

Thank you very much for reading to the end of this article. Just in case you have more questions or inquiries, feel free to comment, and you can also visit our website for additional information.