Typeerror: numpy.float64 object is not iterable [SOLVED]

Learn how to fix typeerror: numpy.float64 object is not iterable with us.

In this article, you will be able to learn about this Python error as well as how to fix it.

By following the guide that we will provide below, you will surely be able to fix this error quickly.

But before that, learn first what this error means.

What is typeerror: numpy.float64 object is not iterable?

The typeerror: numpy.float64 object is not iterable is an error message in Python.

This error occurs when we try to iterate over a non-iterable numpy.float64 object.

Here is an example of a code that could cause this error:

import numpy as np

gpa = np.float64(4.0)
for i in gpa:
    print(i)

Error:

Traceback (most recent call last):
File "C:\Users\path\s_path\sProject\main.py", line 4, in
for a in average:
TypeError: 'numpy.float64' object is not iterable

Typeerror: numpy.float64 object is not iterable – SOLUTION

To solve this error, you just have to use an iterable object when you iterate over an object.

Example:

Use a NumPy array instead of a float.

Let us use the example code above as our example to fix this error.

Here is an example code using the NumPy array:

import numpy as np

gpa = np.array([4.0, 3.7, 3.3, 3.0, 2.7])
for i in gpa:
print(i)

Output:

4.0
3.7
3.3
3.0
2.7

Tips to avoid getting Typeerrors

The following are some tips to avoid getting type errors in Python.

1. Avoid using the built-in data types in Python in the wrong way.
2. Always check or confirm the types of your variables.
3. Be clear and concise when writing code.
4. Handle the error by using try-except blocks.
5. Use the built-in functions of Python if needed.

FAQs (Frequently Asked Questions)

Conclusion

In conclusion, the typeerror: numpy.float64 object is not iterable occurs when:

We try to iterate over a non-iterable numpy.float64 object.

And this error can be easily solved by using an iterable object when you iterate over an object.

That is all for this tutorial IT Source Coders!

I hope you have learned a lot from this.

Thank you for reading! 😊