Typeerror: ‘nonetype’ object is not subscriptable

In Python, running into errors like typeerror: ‘nonetype’ object is not subscriptable is unavoidable.

Knowing that errors are unavoidable, we should also be mindful that understanding them is the first step to fixing them.

In this article, we will provide you with information about this error.

Understand the error mentioned above before proceeding to the tutorial on how to fix it.

What is typeerror: ‘nonetype’ object is not subscriptable?

The typeerror: ‘nonetype’ object is not subscriptable is an error message that occurs in Python.

Attempting to use the operation “indexing” or “slicing” on a NoneType object is what triggers this error.

What is a NoneType object?

In Python, a NoneType object is a unique data type.

The absence of a value is what it represents.

When a function or method does not specifically give a value back, it is returned.

Most importantly, it does not support indexing and slicing operations.

Back to the issue, here is a sample code that triggers the error:

my_list = None
print(my_list[0])

Error:

Traceback (most recent call last):
  File "C:\Users\path\PyProjects\sProject\main.py", line 2, in <module>
    print(s_list[0])
          ~~~~~~^^^
TypeError: 'NoneType' object is not subscriptable

Typeerror: ‘nonetype’ object is not subscriptable – SOLUTION

Time needed: 2 minutes

To fix the typeerror: ‘nonetype’ object is not subscriptable you have to make sure that you are not indexing or slicing a NoneType object.

Here is the guide that you can get an idea of to fix your problem.

  1. Verify if the variable is None or not.

    To verify, use the if statement.

    Example code:

    s_list = None
    if s_list is not None:
    print(s_list[0])
    else:
    print(“The sample list is None!”)

    Output:

    The sample list is None!

  2. Make sure that the variable has an assigned value.

    Example code:

    s_list = [1, 2, 3, 4, 5, 6, 7, 8, 9]
    print(s_list[0])

    Output:

    1

  3. Debug your code.

    To debug your code and detect where the error is occurring, use the print statement.

    Example code:

    s_list = None
    print(“Before : “, s_list)
    s_list = [1, 2, 3, 4, 5, 6, 7, 8, 9]
    print(“After : “, s_list[0])

    Output:

    Before : None
    After : 1

Here is a sample code that solves the code above that triggers this error:

s_list = [1, 2, 3, 4, 5, 6, 7, 8, 9]
print(s_list[0])

Output:

1

Tips to avoid getting type errors

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

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

FAQs (Frequently Asked Questions)

🗨 How do you fix an object that is not subscriptable?

To fix an object that is not subscriptable, you have to convert that object into an iterable data type.

For example, we are using an integer.

Since integer objects are not subscriptable, convert them into a string.

Here are some examples of subscriptable objects in Python:

✅ Dictionaries
✅ Lists
✅ Strings
✅ Tuples

🗨 What is TypeError?

Typeerror is an error in Python that arises when an operation or function is applied to a value of an improper type.

This error indicates that the data type of an object isn’t compatible with the operation or function being used.

🗨 What is Python?

Python is one of the most popular programming languages.

It is used for developing a wide range of applications.

In addition, Python is a high-level programming language that is used by most developers due to its flexibility.

Conclusion

In conclusion, the typeerror: ‘nonetype’ object is not subscriptable is an unavoidable error that occurs in Python.

You can solve this error by making sure that you are not indexing or slicing a NoneType object.

By following the guide above, you will surely solve this error quickly.

That is all for this tutorial, IT source coders!

We hope you have learned a lot from this. Have fun coding!

Thank you for reading! 😊

Why NoneType TypeErrors happen so often

Python returns None from many functions when there is nothing meaningful to return: from methods that mutate in place (list.append, dict.update), from lookups that miss (dict.get with no default), and from any function that ends without an explicit return. When you use that None as if it were the expected value, you get a TypeError.

Common triggers of NoneType TypeError

  • Method chaining on mutating operations. sorted(list) returns a new sorted list, but list.sort() sorts in place and returns None. Never write x = my_list.sort().
  • Print statements accidentally assigned. x = print(value) assigns None, not value.
  • Missing return in a function. A function that only has if branches without returns falls through to an implicit return None.
  • Dictionary lookups with missing key. value = my_dict.get(key) returns None if key is missing. Provide a default: my_dict.get(key, default_value).
  • Regex match returning None. re.search returns None if no match. Guard with an if before .group().

Working diagnostic pattern

# BAD — silent None propagation
def get_config(env):
    if env == "prod":
        return {"db": "prod-cluster"}
    # No else — implicit return None

config = get_config("staging")
print(config["db"])  # TypeError: 'NoneType' object is not subscriptable

# GOOD — explicit branch handling
def get_config(env):
    if env == "prod":
        return {"db": "prod-cluster"}
    if env == "staging":
        return {"db": "staging-cluster"}
    raise ValueError(f"Unknown env: {env}")

Best practices

  • Use type hints (Python 3.6+). Type-checkers like mypy or Pyright catch these before runtime.
  • Prefer Optional[T] when a function may return None. Callers must handle the None case.
  • Fail fast at boundaries. Raise an explicit exception in helper functions rather than returning None silently.
Elijah Galero


Programmer & Technical Writer at PIES IT Solution

Elijah Galero is a programmer and writer at PIES IT Solution, author of 175+ tutorials at itsourcecode.com. Specializes in Python error debugging (AttributeError, TypeError, ModuleNotFoundError), Python programming tutorials, and Microsoft Excel how-to guides for BSIT students and productivity learners.

Expertise: Python · Python Errors · Python AttributeError · Python TypeError · ModuleNotFoundError · MS Excel · MS PowerPoint
 · View all posts by Elijah Galero →

Frequently asked questions

What is a TypeError in Python?

A TypeError in Python is raised when an operation is performed on a value of the wrong type — like adding an int to a str, calling a non-function, or subscripting None. Python 3 does not silently convert types, so mixing types raises this error.

How do you fix ‘NoneType object has no attribute’ in Python?

Trace back to the function that returned None instead of the expected value. Add an early return of an empty container (list, dict, str) instead of implicit None. Guard access with ‘if value is not None:’ or use dict.get with a default.

What causes ‘unsupported operand type’ errors?

Mixing types that don’t share the operator. Adding str + int raises unsupported operand — convert with str() or use an f-string. Comparing dict and list also raises this in Python 3.

How do type hints prevent TypeError?

Type hints (introduced in PEP 484) let tools like mypy and Pyright detect type mismatches before you run the code. Combined with an editor like VS Code, you get inline warnings the moment a value is used the wrong way.

What tools help debug Python TypeErrors?

The full traceback (bottom line = error, above = call chain), Python’s breakpoint() function for interactive inspection, mypy or Pyright for static type checking, and pydantic for runtime validation. Rich also formats tracebacks with color and locals.