Have you ever encountered an error, like “TypeError: expected str, bytes or os.PathLike object, not NoneType”?
If so, don’t worry, you’re not alone.
This expected str, bytes or os.PathLike object, not NoneType typically occurs when we try to open a file but provide a None value for the filename.
Along with this guide, we will explore the causes of this error and provide you with practical solutions to help you fix it.
So, let’s dive in and learn how to handle this error like a pro!
What is Typeerror expected str bytes or os.pathlike object not nonetype?
The “TypeError: expected str, bytes or os.PathLike object, not NoneType” is an error that happens when we attempt to open a file but put a None value for the filename.
To fix the error, figure out where the None value comes from and correct the assignment.
Here is how the error occurs:
filename = None
# TypeError: expected str, bytes or os.PathLike object, not NoneType
with open(filename, 'r', encoding='utf-8') as f:
lines = f.readlines()
print(lines)If we run this code it will raise an error.
Traceback (most recent call last):
File "C:\Users\Windows\PycharmProjects\pythonProject1\main.py", line 4, in <module>
with open(filename, 'r', encoding='utf-8') as f:
TypeError: expected str, bytes or os.PathLike object, not NoneTypeCauses of expected str bytes or os.pathlike object not nonetype
The most common cause of None values are:
- Functions return None implicitly.
- Having a variable set to None.
- A function that only returns a value when a certain value is met.
- Assigning a variable to the result which calls a built-in function that doesn’t return anything.
Solved Typeerror expected str bytes or os.pathlike object not nonetype
The following are solutions to the causes we mention that throw the expected str bytes or os.pathlike object not nonetype.
Functions do not return anything return None.
Functions that don’t obviously return a value return None.
For example:
# this function returns None
def get_filename():
print('example.txt')
# TypeError: expected str, bytes or os.PathLike object, not NoneType
with open(get_filename(), 'r', encoding='utf-8') as f:
lines = f.readlines()
print(lines)
If we run this code it will raise an error…
TypeError: expected str, bytes or os.PathLike object, not NoneType.
Alternatively, use a return statement to throw a value from a function.
def get_filename():
return 'data.txt'
with open(get_filename(), 'r', encoding='utf-8') as f:
lines = f.readlines()
print(lines)Check if the variable doesn’t store a None value
Meanwhile, if you need to check if the variable does not store None value prior to opening the file, use the If statement.
For example:
filename = None
if filename is not None:
with open(filename, 'r', encoding='utf-8') as f:
lines = f.readlines()
print(lines)
else:
print('filename stores a None value')Alternatively, the variable can be able to set to a default value which is None. Just see to it you’re not storing the result on one variable.
Note: There are a lot of built-in functions wherein can change into their original object.
Check if the variable is initialized properly
Another way to fix the error is checking if the variable is initialized properly.
filename = None
with open(filename, 'r') as f:
lines = f.readlines()
print(lines)
This code will raise the expected str, bytes, or os.PathLike object, not NoneType error because the filename variable is set to None.
To fix this, you can make sure that the filename variable is initialized with a valid path:
filename = 'data.txt'
with open(filename, 'r') as f:
lines = f.readlines()
print(lines)
Output:
['Welcome to Itsourcecode!']
Anyhow, if you are finding solutions to some errors you might encounter we also have TypeError can’t concat str to bytes.
Conclusion
To conclude, the “TypeError: expected str, bytes or os.PathLike object, not NoneType” is an error that happens when we try to open a file but provide a None value for the filename.
To fix the error, figure out where the None value comes from and correct the assignment.
By trying the outlined solutions above, you can possibly fix the error.
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.
Official documentation
Frequently Asked Questions
What is Python TypeError and what causes it?
TypeError is raised when an operation is applied to an object of the wrong type. Common patterns: calling a non-callable object, adding incompatible types (str + int), passing the wrong number of arguments, or accessing attributes on a NoneType. Each TypeError message names the operation and expected vs actual types, the fix is almost always to convert types explicitly (int(), str()) or fix the wrong variable assignment.
How do I quickly debug a Python TypeError?
Three steps: (1) Read the full error message, it names the exact operation and types involved. (2) Print the type of every variable in that line: print(type(var1), type(var2)). (3) Check what the function expected vs what you passed. Most TypeError fixes are 1-line type casts or fixing a variable that became None unexpectedly.
Should I catch TypeError or let it propagate?
For internal code, let TypeError propagate, it’s almost always a real bug (wrong type passed). For boundary code (parsing user input, third-party API responses), catch TypeError + ValueError together: try: parsed = int(value) except (TypeError, ValueError): parsed = 0. Catching internal TypeErrors hides bugs.
How do I prevent TypeError in production?
Three patterns: (1) Use type hints (def add(a: int, b: int) -> int) and check with mypy / pyright in CI. (2) Validate inputs at boundaries (Pydantic for FastAPI, DRF serializers for Django). (3) Default values that match expected types (return 0 not None for numeric functions). Static typing catches 80% of TypeErrors before runtime.
Where can I find more TypeError fixes?
Browse the TypeError reference hub for 220+ specific TypeError fixes. For broader Python debugging, see the Python Tutorial hub. For related error types, see ValueError and AttributeError guides.
