Python math.floor, import math Examples

Use the math.floor function to take floors of numbers. Remove a number's fractional part.

Floor. With math.floor we reduce a number so that the fractional part is removed. Floor() will make all numbers smaller. Negative values will become more negative.Math

With floor, we get integers from floating-point numbers. Floor has no effect on integers. We must "import math" at the top of our programs.

Initial example. Here we use math.floor on some numbers. Note that the first number 100 is returned unchanged. Floor() does not modify integers.

Rounding: Floor does not round upon the value 100.9. Instead it always reduces the number to be less.

Python program that uses math.floor import math # Some numbers to take floors of. value0 = 100 value1 = 100.1 value2 = 100.5 value3 = 100.9 # Take floor of number. floor0 = math.floor(value0) print(value0, ":", floor0) # Take other floors. print(value1, ":", math.floor(value1)) print(value2, ":", math.floor(value2)) print(value3, ":", math.floor(value3)) Output 100 : 100 100.1 : 100 100.5 : 100 100.9 : 100

NameError. Sometimes when writing Python programs I make this error. There is no "floor" in Python. We must use math.floor to use the floor function.Error
Python program that causes NameError number = 78.6 # This will not work. result = floor(number) Output Traceback (most recent call last): File "C:\programs\", line 5, in <module> result = floor(number) NameError: name 'floor' is not defined

Negative floors. With negative numbers, math.floor has the same logical result as with positive ones. Numbers are always reduced. Negative numbers will become more negative.
Python program that uses math.floor on negative numbers import math # Use math.floor on a negative number. result = math.floor(-1.1) print(result) result = math.floor(-1.9) print(result) Output -2 -2

Benchmark, floor dictionary. I wanted to test whether a dictionary lookup could be faster than a math.floor call. I found math.floor is fast—much faster than calling get().Dictionary

Version 1: This version of the code uses math.floor to get the floor of each number.

Version 2: Here we look up a value in a dictionary to get a cached floor value for a number.

Result: Using a dictionary to memoize (cache) the result of math.floor is a big slow down. Just use math.floor directly.

Python program that benchmarks math.floor, dictionary import time, math # Floor dictionary. floor_dict = {100.5: 100} print(time.time()) # Version 1: use math.floor. for i in range(0, 100000000): y = 100.5 z = math.floor(y) if z != 100: print(z) break print(time.time()) # Version 2: use dictionary lookup, get method. for i in range(0, 100000000): y = 100.5 z = floor_dict.get(y) if z != 100: print(z) break print(time.time()) Output 1454633830.142 1454633830.727 math.floor = 0.59 s 1454633839.844 floor_dict.get = 9.12 s PyPy3 used

A review. In Python 3 we find many built-in functions like abs and round. With floor, though, we have to use the math module with an import statement.
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