Get human readable version of file size?
Python recipe for converting file size to a human-readable format:
This function chews through units, dividing the size until it's smaller than 1024, then pretty-prints it with one decimal place.
Deep dive: Binary vs. Decimal, big file sizes, and negative numbers
The first version works like a charm for casual conversions, but it's time to delve deeper. We need to take care of negative numbers (which might hint at over-committed storage spaces or errors) and extremely large sizes. Also, we should address the difference between binary and decimal prefixes for file size units.
Here's an amped-up function for such intricacies:
This version has got you covered from single bytes to yottabytes – That's, like, a lot of cat videos!
Exception handling: Zero and single bytes
For file sizes less than 1 byte or specifically zero, we give them special treatment, so they don't feel left out.
Smarter work: Leveraging libraries
In some cases, using an existing library, like humanize, can make your life a whole lot easier:
It provides the values in both binary and decimal units without having you to write additional lines of code.
Trick-or-treat: Bitwise operations and Recursion
Super-efficient bitwise operations
For better performance with large files, bit-level operations can divide numbers faster than traditional methods:
This version utilizes bit_length()
and bit shifting, taking advantage of the binary nature of the file sizes.
Elegance of recursions
A recursive design simplifies the iterations:
Recursion can make small byte-sized pieces out of the beastliest file sizes – much easier to read, too!
Practical applications
User interface: File size labels
A file size function can be integrated with actual files for providing meaningful information to users:
Tailored formatting
You can offer customizable options for unit abbreviations or decimal places to align with design or user requirements:
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