Python floor division is defined as "that of mathematical division with the ‘floor’ function applied to the result" and ceiling division is the same thing but with ceil() instead of floor(). – endolith

2013年10月2日 · There's no return statement in your calculate() function: you're calculating all these values, then throwing them away when your function ends, because those variables are all local to the function. Similarly, your printFunction() function doesn't accept any values to print. So it expects the variables to be global, and since they're not, you ...

2017年5月5日 · when you operate 4500/1000 in python, result will be 4, because for default python asume as integer the result, logically: 4500/1000 = 4.5 --> int(4.5) = 4 and ceil of 4 obviouslly is 4 using 4500/1000.0 the result will be 4.5 and ceil of 4.5 --> 5

2015年9月14日 · It is always unsafe to rely on more bits of precision in a floating-point number than are guaranteed to be accurate. At least one of those numbers cannot be represented perfectly in the floating-point system used by Python and/or the representation available on the particular processor it is running on.

2019年9月23日 · The function np.round accepts a decimals parameter but it appears that the functions ceil and floor don't accept a number of decimals and always return a number with zero decimals. Of course I can multiply the number by 10^ndecimals, then apply floor and finally divide by 10^ndecimals. new_value = np.floor(old_value * 10**ndecimals) / 10**ndecimals

2014年12月21日 · Explanation: using Series.apply() with a native vectorized Numpy function makes no sense in most cases as it will run the Numpy function in a Python loop, leading to much worse performance. You'd be much better off using np.floor(series) directly, as suggested by several other answers.

2013年6月17日 · How to make a function instead of overusing if statements in python? 0 How optimize to avoid using too many ‘if’ ‘elif’ ‘else’ statements and effectively reduce cyclomatic complexity?

2011年12月21日 · math.ceil(x) Return the ceiling of x as a float, the smallest integer value greater than or equal to x. math.floor(x) Return the floor of x as a float, the largest integer value less than or equal to x. Why would .ceil and .floor return floats when they are by definition supposed to calculate integers?

2014年4月30日 · Your problem is neither new nor python specific but is inherent to floating point computations. All dynosaurus that once used Fortran 4 know it : you as the programmer have to know the expected precision ε of your computation.

2010年5月8日 · That works because math.ceil is overloadable for custom types in Python 3. In Python 2, math.ceil simply converts the Decimal instance to a float first, potentially losing information in the process, so you can end up with incorrect results.