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How to find length of digits in an integer?

python
functions
performance
best-practices
Anton ShumikhinbyAnton Shumikhin·Oct 15, 2024
TLDR

Determine the number of digits with a swift one-liner:

digit_len = len(str(abs(your_int))) # Apply abs() to play nice with negative integers

your_int ➡️ your number of choice. Example:

digit_len = len(str(abs(-123))) # Voila, result is 3, not 4!

Notice the abs() function wrapping your_int. This is because "-" is not a digit, it's a lifestyle choice our number has made.

Deeper Dive: Handling Large Numbers and Negative Integers

While the simple string conversion works for a sunny day scenario, when storm clouds roll in (aka having large numbers or performance considerations), we might need a more robust approach:

When integers get too big for their boots

When dealing with large numbers, our previous method might get winded. For beefy integers, a mathematical maneuver might serve you better:

import math digit_len = int(math.log10(abs(your_int))) + 1 if your_int != 0 else 1 # Big O Notation sends its regards

This method doesn't need string conversion, making it the Usain Bolt of digit counting.

Numbers with attitude (Negatives)

Both of the above methods behave with negative numbers, but only if you gently wrap your_int with abs(), to remove that bad vibe (negative sign) before counting.

The curious case of zero

math.log10 will throw a tantrum when it meets zero. So for a unified user experience, ensure you handle zero as a special star.

Visualise and Conquer

Let's picture an integer as a train, where each carriage is a digit:

Integer: 12345 resembles Train: 🚂🚃🚃🚃🚃🚃

Becomes as easy as counting carriages!

len(str(abs(12345))) # 5 carriages, not bad for a Monday

Be the train conductor of your code, count those carriage digits. 🚂✨

Code Wizardry: Python Nuances and Performance Considerations

Beware of rounding errors and performance

For math.log10 users, rounding errors may pop up due to floating-point arithmetic limitations. If your number is astronomically large or precariously close to a power of 10, string conversion could be a safer route.

sys.getsizeof: Size matters, but not here

You might trip over sys.getsizeof offering size in bytes. Unfortunately, bytes don't convert to digits. Trust me, I tried.

Integer limits: The Sky's the Limit

Python 3 kicked sys.maxint to the curb. Now, Python 3's integers flex right up to the limit of your available memory.

String formatting: A Quickie

For those who prefer old school string formatting:

digit_len = len("%i" % abs(your_int)) # %i is setattr(your_int, "to_string")

Internally, Python turns the integer into a string faster than you can say "O(1)"!

Benchmarking: A Race for Efficiency

Iterating over a vast range? Benchmark the methods. Never trust a method without a timed trial!

Practical & Performance Implications

Use built-ins and libraries

Built-in functions and libraries are your friends. They're optimized, reliable, and socially accepted.

Balance simplicity and performance

For error-proneness, go for string conversion - it's as easy as ABC. For turbo speed with large numbers, try mathematics - it's as cool as π.