How to Handle Python TypeError: Comparison Not Supported Between 'NoneType' and Numbers
The Python TypeError: '<' not supported between instances of 'NoneType' and 'int'
(or float
) is a common error that occurs when you attempt to use comparison operators (like <
, >
, <=
, >=
) between a None
value and a numeric type (integer or float). Python doesn't define a standard way to compare None
with numbers, leading to this exception.
This guide explains the cause and provides effective solutions.
Understanding the Error
This TypeError
arises because Python's comparison operators (<
, >
, <=
, >=
) are not defined for operands of type NoneType
and numeric types (int
, float
). There's no inherent order between None
and numbers.
# Error Example with int
int_1 = None
int_2 = 10
try:
# ⛔️ TypeError: '<' not supported between instances of 'NoneType' and 'int'
if int_1 < int_2:
print('success')
except TypeError as e:
print(e)
# Error Example with float
float_1 = None
float_2 = 3.14
try:
# ⛔️ TypeError: '>' not supported between instances of 'NoneType' and 'float'
if float_1 > float_2:
print('success')
except TypeError as e:
print(e)
Solutions
To resolve this error, you need to ensure you are not attempting to compare None
directly with a number.
Checking for None
Before Comparison
The safest approach is to check if the variable is None
before performing the comparison:
int_1 = None
int_2 = 10
if int_1 is not None:
print(int_1 < int_2) # This comparison won't execute
else:
print('Variable int_1 stores a None value') # Output: Variable int_1 stores a None value
float_1 = None
float_2 = 3.14
if float_1 is not None:
print(float_1 > float_2) # This comparison won't execute
else:
print('Variable float_1 stores a None value') # Output: Variable float_1 stores a None value
- The
is not None
check prevents the problematic comparison when the variable holdsNone
.
Assigning a Default Value
If it makes sense in your logic, you can assign a default numeric value (like 0
or 0.0
) to the variable if it's None
before the comparison:
int_1 = None
int_2 = 10
if int_1 is None:
int_1 = 0 # Assign default value
print(int_1 < int_2) # Output: True (0 < 10)
float_1 = None
float_2 = 3.14
if float_1 is None:
float_1 = 0.0 # Assign default value
print(float_1 > float_2) # Output: False (0.0 > 3.14)
- This allows the comparison to proceed with a valid number. Choose a default value that is appropriate for your specific situation.
Common Sources of None
Values
Understanding where None
values might originate helps prevent the error:
Functions Implicitly Returning None
Functions that don't have an explicit return
statement (or just have return
without a value) implicitly return None
.
def get_number():
# No explicit return statement
result = 20
# Returns None implicitly
num = get_number()
print(num) # Output: None
try:
if num > 10: # Raises TypeError
pass
except TypeError as e:
print(e)
# Fix: Add an explicit return
def get_number_fixed():
result = 20
return result
num_fixed = get_number_fixed()
if num_fixed > 10: # Works correctly
print("Fixed function comparison successful")
Explicit Assignment to None
Sometimes variables are intentionally or unintentionally assigned the value None
.
my_num = 50
# ... some code ...
my_num = None # Reassigned to None
try:
print(my_num > 25) # Raises TypeError
except TypeError as e:
print(e)
- Track your variable assignments carefully.
Assignment from Methods Returning None
Many built-in methods that modify objects in-place (e.g., list.sort()
, list.append()
) return None
. Assigning their result to a variable leads to None
. The print()
function also returns None
.
result = print(5 + 5) # print() returns None
print(result) # Output: None
try:
if result < 10: # Raises TypeError
pass
except TypeError as e:
print(e)
- Don't assign the result of in-place methods or
print()
if you expect the modified object or the printed value.
Functions Conditionally Returning None
If a function only returns a value under certain conditions, it might return None
otherwise.
def get_value(a):
if a > 5:
return a * 10
# Implicitly returns None if a <= 5
val = get_value(4)
print(val) # Output: None
try:
print(val > 10) # Raises TypeError
except TypeError as e:
print(e)
# Fix: Ensure all code paths return a value (or handle None)
def get_value_fixed(a):
if a > 5:
return a * 10
else:
return 0 # Or another appropriate default
val_fixed = get_value_fixed(4)
print(val_fixed > 10) # Output: False
- Make sure your functions have clear return values for all possible execution paths, or handle potential
None
return values in the calling code.
Conclusion
The TypeError: '<' not supported between instances of 'NoneType' and 'int'/'float'
clearly indicates an attempt to compare None
with a number.
- By understanding the cause and implementing checks (
is not None
) or providing default values, you can prevent this error and write more robust Python code. - Always be mindful of where
None
values might appear in your program, especially from function return values.