[Python 3.1]
I'm following up on this answer:
class prettyfloat(float):
def __repr__(self):
return "%0.2f" % self
I know I need to keep track of my float literals (i.e., replace 3.0 with prettyfloat(3.0), etc.), and that's fine.
But whenever I do any calculations, prettyfloat objects get converted into float.
What's the easiest way to fix it?
EDIT:
I need exactly two decimal digits; and I need it across the whole code, including where I print a dictionary with float values inside. That makes any formatting functions hard to use.
I can't use Decimal global setting, since I want computations to be at full precision (just printing at 2 decimal points).
@Glenn Maynard: I agree I shouldn't override __repr__; if anything, it would be just __str__. But it's a moot point because of the following point.
@Glenn Maynard and @singularity: I won't subclass float, since I agree it will look very ugly in the end.
I will stop trying to be clever, and just call a function everywhere a float is being printed. Though I am really sad that I can't override __str__ in the builtin class float.
Thank you!
I had a look at the answer you followed up on, and I think you're confusing data and its representation.
@Robert Rossney suggested to subclass float so you could map() an iterable of standard, non-adulterated floats into prettyfloats for display purposes:
# Perform all our computations using standard floats.
results = compute_huge_numbers(42)
# Switch to prettyfloats for printing.
print(map(prettyfloat, results))
In other words, you were not supposed to (and you shouldn't) use prettyfloat as a replacement for float everywhere in your code.
Of course, inheriting from float to solve that problem is overkill, since it's a representation problem and not a data problem. A simple function would be enough:
def prettyfloat(number):
return "%0.2f" % number # Works the same.
Now, if it's not about representation after all, and what you actually want to achieve is fixed-point computations limited to two decimal places everywhere in your code, that's another story entirely.