How to Solve Python TypeError: cannot unpack non-iterable float object

In Python, you can unpack iterable objects and assign their elements to multiple variables in the order they appear. If you try to unpack a floating-point number, you will throw the error TypeError: cannot unpack non-iterable float object. A float is not a sequence which we can loop over.

To solve this error, you can perform unpacking on a list or tuple of floats. For example,

float_x, float_y, float_z = (1.2, 2.7, 3.4)
print(int_x)
print(int_y)
print(int_z)

This tutorial will go through how to solve the error with code examples.

---

How to Solve Python TypeError: cannot unpack non-iterable float object

TypeError occurs in Python when you perform an illegal operation for a specific data type. Floating point numbers, also called floats represent real numbers and have a decimal point dividing the integer and the fractional part. Numeric values are not iterable in Python. Unpacking is only suitable for iterable objects.

What is an Iterable Object in Python?

An iterable is an object that can be “iterated over“, for example in a for loop. In terms of dunder methods under the hood, an object can be iterated over with “for” if it implements __iter__() or __getitem__().

An iterator returns the next value in the iterable object. An iterable generates an iterator when it is passed to the iter() method.

In terms of dunder methods under the hood, an iterator is an object that implements the __next__() method.

A for loop automatically calls the iter() method to get an iterator and then calls next over and over until it reaches the end of the iterable object.

Unpacking requires an iteration in order to assign values to variables in order, and as such requires iterable objects.

What is Unpacking in Python?

Unpacking is the process of splitting packed values into individual elements. The packed values can be a string, list, tuple, set or dictionary. During unpacking, the elements on the right-hand side of the statement are split into the values on the left-hand side based on their relative positions. Let’s look at the unpacking syntax with an example:

values = [10, 20, 30]

x, y, z = values

print(f'x: {x}, y: {y}, z: {z}')

The above code assigns the integer values in the value list to three separate variables. The value of x is 10, y is 20, and the value of z is 30. Let’s run the code to get the result:

x: 10, y: 20, z: 30

We can also unpack sets and dictionaries. Dictionaries are only ordered for Python version 3.7 and above but are unordered for 3.6 and below. Generally, it is not recommended to unpack unordered collections of elements as there is no guarantee of the order of the unpacked elements.

We cannot unpack an Integer because it is not an iterable object, and an iterable is a Python object that we can iterate over.

Example

Let’s look at an example of attempting to unpack a float object. First, we will define a function that returns a float.

def return_float():

    return 3.14

Next, we will try to unpack the object returned by the function and assign three values to the variables named x, y, and z.

x, y, z = return_float()

print(f'x: {x}, y: {y}, z: {z}')

Let’s run the code to see the result:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Input In [2], in <cell line: 1>()
----> 1 x, y, z = return_float()
      3 print(f'x: {x}, y: {y}, z: {z}')

TypeError: cannot unpack non-iterable float object

The error occurs because the function returns a float, and we are using an unpack operation, which is not possible with a float because integers are not iterable.

We can use the type() method to check the type of an object. Let’s verify the type of the object returned by the return_float() function:

print(type(return_float()))

<class 'float'>

Solution

We can solve this error by ensuring the function we use returns an iterable object. In this case, we will return a list containing three floats. Let’s look at the revised code:

def return_list():

    return [3.14, 4.67, 9.1]

Next, we will call the return_list() function to return the list and unpack it.

x, y, z = return_list()

print(f'x: {x}, y: {y}, z: {z}')

Let’s run the code to see the result:

x: 3.14, y: 4.67, z: 9.1

We successfully called the function and unpacked the list into three variables, and printed their values to the console.

Summary

Congratulations on reading to the end of this tutorial!

For more reading on cannot unpack non-iterable object errors, go to the articles:

• How to Solve Python TypeError: cannot unpack non-iterable NoneType object
• How to Solve Python TypeError: cannot unpack non-iterable int object
• How to Solve Python TypeError: cannot unpack non-iterable method object

Go to the online courses page on Python to learn more about Python for data science and machine learning.

Have fun and happy researching!