TypeError: 'NoneType' object is not iterable

The "TypeError: 'NoneType' object is not iterable" occurs when you try to perform an iteration (e.g., loop) over an object that is of type "NoneType". In Python, "NoneType" represents the absence of a value and is returned when a function or method does not explicitly return anything. When you attempt to iterate over such an object, Python raises this error to indicate that the object does not support iteration.

'NoneType' object is not iterable"

Following is an example to illustrate the error:

# Function that returns None def get_list(): return None # Attempting to iterate over the returned value for item in get_list(): print(item)

In this example, the "get_list()" function returns "None", and we try to iterate over the result using a "for" loop. However, since "None" is not iterable, Python raises the "TypeError: 'NoneType' object is not iterable".

To avoid this error, you need to ensure that the object you are trying to iterate over is not "None". You can use conditional statements to check for "None" before attempting the iteration:

result = get_list() if result is not None: for item in result: print(item)

In this modified example, we check if the result is not "None" before starting the iteration, preventing the "TypeError" and ensuring that the loop executes only when the object is iterable.

Python object is not iterable

Iterable objects

An iterable is an object that can be used as a sequence, such as strings, lists, and tuples. However, when attempting to iterate over these objects, it is crucial to ensure that they are not empty to avoid encountering the "TypeError: 'NoneType' object is not iterable." This error occurs when trying to iterate over a "None" object, which represents the absence of a value, and it is distinct from an empty iterable like an empty list or string, which can be iterated over without raising this error. To prevent this error, developers should validate the iterability of objects and handle empty cases appropriately in their code, adhering to professional and standard Python programming practices.

__iter__ method

When your code is executed, the interpreter first converts it into bytecode (pyc). The Python virtual machine then processes this bytecode, and during execution, it comes across a looping construct that attempts to iterate over a variable containing "None". However, "None" is not an iterable object and lacks the "iter" method. As a result, the Python virtual machine raises the "TypeError: 'NoneType' object is not iterable" error, informing you that "NoneType" does not support iteration through the "iter" method. To resolve this error, you should ensure that the variable you are trying to iterate over is not "None" or handle this scenario using appropriate conditional checks before performing any iterations. This practice aligns with professional and standard Python programming principles.

What is NoneType?

In Python2, NoneType is the type of None.

# python2 >>> print(type(None)) <type 'NoneType'>

In Python3, NoneType is the class of None.

# python3 >>> print(type(None)) <class 'NoneType'>

Java or C++

In Java or C++, such issues are less likely to occur because these languages are statically typed, and type-checking is performed during the compilation phase. This rigorous type-checking ensures that all variables and operations are explicitly defined and compatible, and any potential errors, like handling "None" values, are caught early in the development process. As a result, programs that lack proper handling for certain scenarios, such as dealing with "None" values, would not be allowed to compile, prompting developers to define appropriate actions for such occurrences before execution. This compilation-time validation enhances code robustness and reduces the likelihood of runtime errors, contributing to the overall reliability and maintainability of Java and C++ programs.


Handling "None" values appropriately and verifying the iterability of objects before iteration, you can avoid the "TypeError: 'NoneType' object is not iterable" and maintain the smooth execution of your Python code.