I am using python 2.7, and the code I have is:
a = 10.5 * 22.34 / 2.0
print "%.2f" % a
and the result I expect is 117.29, but it shows 117.28. How to solve the problem?
If Python is using a 64-bit IEEE-754 binary floating point type, then the exact value it's using will be
117.284999999999996589394868351519107818603515625
... and that's obviously lower than the midpoint between 117.28 and 117.29. It's possible that that's what's going on.
Another option is that Python is using Banker's Rounding.
If the exact decimal values matter to you, you might want to consider using decimal
instead.
Mr. Skeet has the correct answer, below is an example of how to use the decimal
module to which he refers:
import decimal
a = decimal.Decimal('117.285')
rounded = a.quantize(decimal.Decimal('.01'), rounding=decimal.ROUND_HALF_UP)
print rounded
# 117.29
repr(rounded)
# "Decimal('117.29')"
If you want a simple solution and don't care about performance, you could use a function like this to convert to integer, round, and convert back to float:
def round_exact(number, decimal_places=0):
"""Round the number to the given number of decimal places by converting to
and from integers to avoid floating point error."""
factor = 10**(decimal_places + 1)
rounded_int = int(number * factor)
if rounded_int % 10 >= 5:
# Round up
return (int(rounded_int//10) + 1) / float(factor//10)
# Round down
return int(rounded_int//10) / float(factor//10)
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