What is the difference between int() and floor() in Python 3?
Question:
In Python 2, floor()
returned a float value. Although not obvious to me, I found a few explanations clarifying why it may be useful to have floor()
return float (for cases like float('inf')
and float('nan')
).
However, in Python 3, floor()
returns integer (and returns overflow error for the special cases mentioned before).
So what is the difference, if any, between int()
and floor()
now?
Answers:
floor()
rounds down. int()
truncates. The difference is clear when you use negative numbers:
>>> import math
>>> math.floor(-3.5)
-4
>>> int(-3.5)
-3
Rounding down on negative numbers means that they move away from 0, truncating moves them closer to 0.
Putting it differently, the floor()
is always going to be lower or equal to the original. int()
is going to be closer to zero or equal.
I tested the time complexity of both methods, they are the same.
from time import time
import math
import random
r = 10000000
def floorTimeFunction():
for i in range(r):
math.floor(random.randint(-100,100))
def intTimeFunction():
for i in range(r):
int(random.randint(-100,100))
t0 = time()
floorTimeFunction()
t1 = time()
intTimeFunction()
t2 = time()
print('function floor takes %f' %(t1-t0))
print('function int takes %f' %(t2-t1))
Output is:
# function floor takes 11.841985
# function int takes 11.841325
I wrote this method, does the trick for me,
def rightInteger(numa, numb):
result = numa/numb
next_int = math.ceil(result)
difference = next_int -result
if(difference <=0.5):
return next_int
else:
return math.floor(result)
Rounding down can be done in many ways, some methods are equivalent, e.g. built-in int
, numpy.trunc
and numpy.fix
which truncate the number, meaning for a negative number they return a result which is larger than the argument. floor
is different and actually returns the next smaller integer regardless of the sign. This can be confusing. Here is a summary of built-in and numpy operators:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ROUNDING -2.8 -2.5 -2.2 2.2 2.5 2.8
┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈
floor -3 -3 -3 2 2 2
rint -3 -2 -2 2 2 3
round (0) -3 -2 -2 2 2 3
fix -2 -2 -2 2 2 2
(int) -2 -2 -2 2 2 2
trunc -2 -2 -2 2 2 2
ceil -2 -2 -2 3 3 3
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
In Python 2, floor()
returned a float value. Although not obvious to me, I found a few explanations clarifying why it may be useful to have floor()
return float (for cases like float('inf')
and float('nan')
).
However, in Python 3, floor()
returns integer (and returns overflow error for the special cases mentioned before).
So what is the difference, if any, between int()
and floor()
now?
floor()
rounds down. int()
truncates. The difference is clear when you use negative numbers:
>>> import math
>>> math.floor(-3.5)
-4
>>> int(-3.5)
-3
Rounding down on negative numbers means that they move away from 0, truncating moves them closer to 0.
Putting it differently, the floor()
is always going to be lower or equal to the original. int()
is going to be closer to zero or equal.
I tested the time complexity of both methods, they are the same.
from time import time
import math
import random
r = 10000000
def floorTimeFunction():
for i in range(r):
math.floor(random.randint(-100,100))
def intTimeFunction():
for i in range(r):
int(random.randint(-100,100))
t0 = time()
floorTimeFunction()
t1 = time()
intTimeFunction()
t2 = time()
print('function floor takes %f' %(t1-t0))
print('function int takes %f' %(t2-t1))
Output is:
# function floor takes 11.841985
# function int takes 11.841325
I wrote this method, does the trick for me,
def rightInteger(numa, numb):
result = numa/numb
next_int = math.ceil(result)
difference = next_int -result
if(difference <=0.5):
return next_int
else:
return math.floor(result)
Rounding down can be done in many ways, some methods are equivalent, e.g. built-in int
, numpy.trunc
and numpy.fix
which truncate the number, meaning for a negative number they return a result which is larger than the argument. floor
is different and actually returns the next smaller integer regardless of the sign. This can be confusing. Here is a summary of built-in and numpy operators:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ROUNDING -2.8 -2.5 -2.2 2.2 2.5 2.8
┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈
floor -3 -3 -3 2 2 2
rint -3 -2 -2 2 2 3
round (0) -3 -2 -2 2 2 3
fix -2 -2 -2 2 2 2
(int) -2 -2 -2 2 2 2
trunc -2 -2 -2 2 2 2
ceil -2 -2 -2 3 3 3
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━