python difference between round and int

round(n) is a function to round a float, int(n) will cast a float to an integer and will get rid of the decimal part by truncating it.

round is a mathematical rounding and int just casts to an integer, essentially truncating the value.

Take 2 variables:

var1 = 5.5
var2 = 5.1

If we round them

round(var1)
round(var2)

We get 6.0 and 5.0 respectively.

However, if we just cast them to an int

int(var1)
int(var2)

We get 5 for both of them.

You can test this out yourself in the python interpreter.

Note: The python implementation changed between 2.7 and 3.x. I corrected the answer accordingly.

For the sake of completeness, let me add two more functions to your question and explain the differences between float(int(x)), math.floor(x), round(x) and math.ceil(x).

Let's start with a question: "What integer represents best the number 1.6?" We have two possible answers (1 and 2) but many different reasons why one answer may be better than the other one:

• int(1.6)==1: This is what you get when you cut off the decimals.
• math.floor(1.6)==1: Its less than 2. Incomplete pieces don't count.
• round(1.6)==2: Because 2 is closer than 1.
• math.ceil(1.6)==2: Its more than 1. When you start a part, you have to pay the full price.

Let's ask python to print a nice table of the results you get with different values of x:

from math import floor, ceil
tab='\t' 

print('x \tint\tfloor\tround\tceil')
for x in (
    1.0, 1.1, 1.5, 1.9, -1.1, -1.5, -1.9, 
    -2.5, -1.5, -0.5, 0.5, 1.5, 2.5,
):
    print(x, tab, int(x), tab, floor(x), tab, round(x), tab, ceil(x))

Here is the output:

x       int floor   round   ceil
1.0     1   1       1       1
1.1     1   1       1       2
1.5     1   1       2       2
1.9     1   1       2       2
-1.1    -1  -2      -1      -1
-1.5    -1  -2      -2      -1
-1.9    -1  -2      -2      -1
-2.5    -2  -3      -2      -2
-1.5    -1  -2      -2      -1
-0.5    0   -1      0       0
0.5     0   0       0       1
1.5     1   1       2       2
2.5     2   2       2       3

You see that no of these four functions are equal.

• floor rounds towards minus infinity: It chooses always the lowest possible answer: floor(1.99)==1 and floor(-1.01)==-2.
• ceil rounds towards infinity: It chooses always the highest possible answer: ceil(1.01)==2 and ceil(-1.99)=-1.
• int rounds towards zero: For positive x it is like floor, for negative x it is like ceil.
• round rounds to the closest possible solution: round(1.49)=1 and round(1.51)==2. When x is precisely between two numbers, round(x) will be the closest even number. This is called half to even rounding or Banker's Rounding because it is commonly used in financial calculations.

Note: The python implementation changed between 2.7 and 3.x: Python 2.7 does not use the "half to even rounding" rule (explained above) but rounds all half-numbers away from zero: round(1.5)==2 and round(-1.5)==-2. Bankers and mathematicians who care about this agree that the "half to even rounding" rule used in 3.x is the "right way" to do it because it distributes rounding errors fairly.