How to catch multiple exceptions in one line in Python? (in the "except" block)
Catching Multiple Exceptions Gracefully in a Single except
Clause
In Python, you can elegantly handle multiple exceptions using a single except
block by grouping the exception types into a tuple. This approach keeps your code concise and clear, especially when the same recovery or logging logic applies to multiple errors. Instead of writing separate except
clauses for each exception type, you can combine them, making your code more maintainable and readable.
Basic Syntax:
try: # Code that may raise multiple types of exceptions result = int("not_an_integer") except (ValueError, TypeError) as e: print(f"An error occurred: {e}")
In this snippet, if the code inside the try
block raises either a ValueError
or a TypeError
, Python will catch it in one except
clause. The variable e
will be bound to the exception instance, allowing you to inspect the error message, log it, or take any appropriate action.
Key Points:
- Order Matters for Multiple Except Blocks: If you have multiple
except
blocks, Python will try them in order. Specific exceptions should generally come before more general exceptions to avoid “shadowing” more granular error handling. - Combining Exceptions Logically: Group exceptions together only if you want to handle them the same way. This keeps the code meaningful. If a
ValueError
and aTypeError
both call for the same recovery action, combining them into one clause makes sense. - No Limit to the Number of Exceptions: You can include as many exception types as you need within the tuple, as long as they’re comma-separated.
Example with Logging:
import logging try: data = int("some_string") except (ValueError, TypeError) as error: logging.error("Failed to convert data: %s", error) # Additional recovery logic here
Here, both ValueError
and TypeError
trigger the same response—logging the error and executing the same recovery steps—so grouping them makes the code cleaner.
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- Grokking Python Fundamentals: Ideal for beginners, this course ensures you understand core Python concepts, including exception handling best practices.
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- Grokking Data Structures & Algorithms for Coding Interviews: Deepen your problem-solving skills and become more confident in tackling complex coding challenges.
You can also watch videos on the DesignGurus.io YouTube channel for additional tips, insights, and step-by-step guides on various coding and system design topics.
In Summary:
Catching multiple exceptions in one line is as simple as grouping them in a tuple within a single except
clause. This approach makes your code neater, reduces repetition, and improves maintainability—essential attributes for writing clean, professional-quality Python code.