Attributeerror: module ‘numpy’ has no attribute ‘float’ [SOLVED]

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, “numpy.float has been deprecated or removed, which is why this error occurs, but there are numerous ways to fix it.

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.

  1. 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

  2. Check Python version


    import numpy as np

    print(np.__version__)


    Sample output:

    1.23.5

  3. 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.float certainly this error will occur. Updating numpy version will resolve this error. You can use the following command:

pip install --upgrade numpy

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Conclusion

This article has already provided different solutions that you can use to fix theattributeerror: 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.

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