How do I use a decimal step value for range()?
Want to iterate with decimal steps in Python? You have two main choices: numpy.arange()
or a list comprehension with decimal.Decimal
. Here are the shorthand solutions:
numpy
way:
List comprehension embracing precision:
Python's aversion to decimal steps
By design, Python's range()
function does not support decimal step values. It's a bit of an integer enthusiast. Feeding range()
a non-integer step causes it to throw a tantrum, or more technically, a TypeError
.
A custom function for decimal steps
If you require a handcrafted solution that doesn't invite external dependencies, you can create your own generator function:
When numpy is an unwanted guest
numpy
can be a powerful ally, but it's also a heavy weight to carry. If you're not already using it in your project, it might not be worth the download package size. In this instance, simple list comprehensions or generator functions can get the job done sans external dependencies.
For maximum precision and avoiding float inaccuracies, make use of the decimal.Decimal
class from Python's standard library.
Beyond list comprehensions and numpy
Enter itertools
For more intricate iteration patterns, Python's itertools
provides an arsenal of tools. Creating complex chains or designing new iteration recipes can be a cinch with itertools
.
The battle against floating-point arithmetic
Floating-point numbers can be a bit tricky. They have a knack for producing microscopically inaccurate results due to the way they're stored. Familiarize yourself with their quirks, and use tools like numpy.linspace
for a safer journey through the lands of exact endpoints and defined step numbers.
Scaling systems: Big rewards from small adjustments
Scaling is a tactic that's often overlooked. By scaling up your loop variable with an integer and then dividing it down by the same factor, you work around the need for decimal steps:
Was this article helpful?