Python Error
ValueError
ValueError is raised when a function receives an argument of the right type but an inappropriate value. For example, int('abc') raises ValueError because 'abc' is a string (correct type) but not a valid integer representation.
Common causes
- Converting invalid strings to numbers: int("abc")
- Unpacking wrong number of values
- Passing out-of-range values to math functions
- Invalid arguments to list.remove() for missing elements
- Incorrect date/time format strings
How to fix it
- Validate input before conversion
- Use try/except ValueError to handle conversion failures
- Check value ranges before passing to functions
- Use "if item in list" before list.remove(item)
- Parse dates with error handling using strptime
Example
ValueError example
# Error example
number = int("abc")
# ValueError: invalid literal for int() with base 10: 'abc'
a, b = [1, 2, 3]
# ValueError: too many values to unpack (expected 2)
# Fix with try/except
def safe_int(value, default=0):
try:
return int(value)
except ValueError:
return default
safe_int("abc") # 0
# Fix unpacking
a, b, *rest = [1, 2, 3] # a=1, b=2, rest=[3]
# Validate before removing
items = [1, 2, 3]
if 4 in items:
items.remove(4) Track ValueError with Checkend
Checkend automatically captures ValueError errors in your Python application with full context:
- Complete traceback with syntax highlighting
- Request context (URL, params, headers)
- Automatic grouping of similar errors
- Instant notifications when errors occur
Related errors
TypeError
TypeError is raised when an object is not of the expected type. This happens when Ruby can't implici...
KeyErrorKeyError is raised when accessing a hash key that doesn't exist using fetch() without a default valu...
IndexErrorIndexError is raised when trying to access an array element at an index that doesn't exist, typicall...
Stop debugging in production
Get full error context and fix issues faster with self-hosted error tracking.