**Problem :**

I was just re-reading What’s New In Python 3.0 and it states:

The round() function rounding strategy and return type have changed.

Exact halfway cases are now rounded to the nearest even result instead

of away from zero. (For example, round(2.5) now returns 2 rather than

3.)

and

the documentation for round:

For the built-in types supporting round(), values are rounded to the

closest multiple of 10 to the power minus n; if two multiples are

equally close, rounding is done toward the even choice

So, under **v2.7.3**:

```
In [85]: round(2.5)
Out[85]: 3.0
In [86]: round(3.5)
Out[86]: 4.0
```

as I’d have expected. However, now under **v3.2.3**:

```
In [32]: round(2.5)
Out[32]: 2
In [33]: round(3.5)
Out[33]: 4
```

This seems counter-intuitive and contrary to what I understand about

rounding (and bound to trip up people). English isn’t my native language but

until I read this I thought I knew what rounding meant :-/ I am sure

at the time v3 was introduced there must have been some discussion of

this, but I was unable to find a good reason in my search.

- Does anyone have insight into why this was changed to this?
- Are there any other mainstream programming languages (e.g.,
*C, C++, Java, Perl,*..) that do this sort of (to me inconsistent) rounding?

What am I missing here?

UPDATE: @Li-aungYip’s comment re “Banker’s rounding” gave me the right search term/keywords to search for and I found this SO question: Why does .NET use banker’s rounding as default?, so I will be reading that carefully.

**Solution :**

Python 3’s way (called “round half to even” or “banker’s rounding”) is considered the standard rounding method these days, though some language implementations aren’t on the bus yet.

The simple “always round 0.5 up” technique results in a slight bias toward the higher number. With large numbers of calculations, this can be significant. The Python 3.0 approach eliminates this issue.

There is more than one method of rounding in common use. IEEE 754, the international standard for floating-point math, defines five different rounding methods (the one used by Python 3.0 is the default). And there are others.

This behavior is not as widely known as it ought to be. AppleScript was, if I remember correctly, an early adopter of this rounding method. The `round`

command in AppleScript offers several options, but round-toward-even is the default as it is in IEEE 754. Apparently the engineer who implemented the `round`

command got so fed up with all the requests to “make it work like I learned in school” that he implemented just that: `round 2.5 rounding as taught in school`

is a valid AppleScript command. 🙂

You can control the rounding you get in Py3000 using the Decimal module:

```
>>> decimal.Decimal('3.5').quantize(decimal.Decimal('1'),
rounding=decimal.ROUND_HALF_UP)
>>> Decimal('4')
>>> decimal.Decimal('2.5').quantize(decimal.Decimal('1'),
rounding=decimal.ROUND_HALF_EVEN)
>>> Decimal('2')
>>> decimal.Decimal('3.5').quantize(decimal.Decimal('1'),
rounding=decimal.ROUND_HALF_DOWN)
>>> Decimal('3')
```

Just to add here an important note from documentation:

https://docs.python.org/dev/library/functions.html#round

Note

The behavior of round() for floats can be surprising: for example,

round(2.675, 2) gives 2.67 instead of the expected 2.68. This is not a

bug: it’s a result of the fact that most decimal fractions can’t be

represented exactly as a float. See Floating Point Arithmetic: Issues

and Limitations for more information.

So don’t be surprised to get following results in Python 3.2:

```
>>> round(0.25,1), round(0.35,1), round(0.45,1), round(0.55,1)
(0.2, 0.3, 0.5, 0.6)
>>> round(0.025,2), round(0.035,2), round(0.045,2), round(0.055,2)
(0.03, 0.04, 0.04, 0.06)
```

Python 3.x rounds .5 values to a neighbour which is even

```
assert round(0.5) == 0
assert round(1.5) == 2
assert round(2.5) == 2
import decimal
assert decimal.Decimal('0.5').to_integral_value() == 0
assert decimal.Decimal('1.5').to_integral_value() == 2
assert decimal.Decimal('2.5').to_integral_value() == 2
```

however, one can change decimal rounding “back” to always round .5 up, if needed :

```
decimal.getcontext().rounding = decimal.ROUND_HALF_UP
assert decimal.Decimal('0.5').to_integral_value() == 1
assert decimal.Decimal('1.5').to_integral_value() == 2
assert decimal.Decimal('2.5').to_integral_value() == 3
i = int(decimal.Decimal('2.5').to_integral_value()) # to get an int
assert i == 3
assert type(i) is int
```

I recently had problems with this, too. Hence, I have developed a python 3 module that has 2 functions trueround() and trueround_precision() that address this and give the same rounding behaviour were are used to from primary school (not banker’s rounding). Here is the module. Just save the code and copy it in or import it. Note: the trueround_precision module can change the rounding behaviour depending on needs according to the ROUND_CEILING, ROUND_DOWN, ROUND_FLOOR, ROUND_HALF_DOWN, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_UP, and ROUND_05UP flags in the decimal module (see that modules documentation for more info). For the functions below, see the docstrings or use help(trueround) and help(trueround_precision) if copied into an interpreter for further documentation.

```
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
def trueround(number, places=0):
'''
trueround(number, places)
example:
>>> trueround(2.55, 1) == 2.6
True
uses standard functions with no import to give "normal" behavior to
rounding so that trueround(2.5) == 3, trueround(3.5) == 4,
trueround(4.5) == 5, etc. Use with caution, however. This still has
the same problem with floating point math. The return object will
be type int if places=0 or a float if places=>1.
number is the floating point number needed rounding
places is the number of decimal places to round to with '0' as the
default which will actually return our interger. Otherwise, a
floating point will be returned to the given decimal place.
Note: Use trueround_precision() if true precision with
floats is needed
GPL 2.0
copywrite by Narnie Harshoe <signupnarnie@gmail.com>
'''
place = 10**(places)
rounded = (int(number*place + 0.5if number>=0 else -0.5))/place
if rounded == int(rounded):
rounded = int(rounded)
return rounded
def trueround_precision(number, places=0, rounding=None):
'''
trueround_precision(number, places, rounding=ROUND_HALF_UP)
Uses true precision for floating numbers using the 'decimal' module in
python and assumes the module has already been imported before calling
this function. The return object is of type Decimal.
All rounding options are available from the decimal module including
ROUND_CEILING, ROUND_DOWN, ROUND_FLOOR, ROUND_HALF_DOWN, ROUND_HALF_EVEN,
ROUND_HALF_UP, ROUND_UP, and ROUND_05UP.
examples:
>>> trueround(2.5, 0) == Decimal('3')
True
>>> trueround(2.5, 0, ROUND_DOWN) == Decimal('2')
True
number is a floating point number or a string type containing a number on
on which to be acted.
places is the number of decimal places to round to with '0' as the default.
Note: if type float is passed as the first argument to the function, it
will first be converted to a str type for correct rounding.
GPL 2.0
copywrite by Narnie Harshoe <signupnarnie@gmail.com>
'''
from decimal import Decimal as dec
from decimal import ROUND_HALF_UP
from decimal import ROUND_CEILING
from decimal import ROUND_DOWN
from decimal import ROUND_FLOOR
from decimal import ROUND_HALF_DOWN
from decimal import ROUND_HALF_EVEN
from decimal import ROUND_UP
from decimal import ROUND_05UP
if type(number) == type(float()):
number = str(number)
if rounding == None:
rounding = ROUND_HALF_UP
place = '1.'
for i in range(places):
place = ''.join([place, '0'])
return dec(number).quantize(dec(place), rounding=rounding)
```

Hope this helps,

Narnie

Python 2 rounding behaviour in python 3.

Adding 1 at the 15th decimal places.

Accuracy upto 15 digits.

```
round2=lambda x,y=None: round(x+1e-15,y)
```

Some cases:

```
in: Decimal(75.29 / 2).quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
in: round(75.29 / 2, 2)
out: 37.65 GOOD
in: Decimal(85.55 / 2).quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
in: round(85.55 / 2, 2)
out: 42.77 BAD
```

For fix:

```
in: round(75.29 / 2 + 0.00001, 2)
out: 37.65 GOOD
in: round(85.55 / 2 + 0.00001, 2)
out: 42.78 GOOD
```

If you want more decimals, for example 4, you should add (+ 0.0000001).

Work for me.

Sample Reproduction:

```
['{} => {}'.format(x+0.5, round(x+0.5)) for x in range(10)]
['0.5 => 0', '1.5 => 2', '2.5 => 2', '3.5 => 4', '4.5 => 4', '5.5 => 6', '6.5 => 6', '7.5 => 8', '8.5 => 8', '9.5 => 10']
```

API: https://docs.python.org/3/library/functions.html#round

States:

Return number rounded to ndigits precision after the decimal point. If

ndigits is omitted or is None, it returns the nearest integer to its

input.For the built-in types supporting round(), values are rounded to the

closest multiple of 10 to the power minus ndigits; if two multiples

are equally close, rounding is done toward the even choice (so, for

example, both round(0.5) and round(-0.5) are 0, and round(1.5) is 2).

Any integer value is valid for ndigits (positive, zero, or negative).

The return value is an integer if ndigits is omitted or None.

Otherwise the return value has the same type as number.For a general Python object number, round delegates to

number.round.Note The behavior of round() for floats can be surprising: for

example, round(2.675, 2) gives 2.67 instead of the expected 2.68. This

is not a bug: it’s a result of the fact that most decimal fractions

can’t be represented exactly as a float. See Floating Point

Arithmetic: Issues and Limitations for more information.

Given this insight you can use some math to resolve it

```
import math
def my_round(i):
f = math.floor(i)
return f if i - f < 0.5 else f+1
```

now you can run the same test with my_round instead of round.

```
['{} => {}'.format(x + 0.5, my_round(x+0.5)) for x in range(10)]
['0.5 => 1', '1.5 => 2', '2.5 => 3', '3.5 => 4', '4.5 => 5', '5.5 => 6', '6.5 => 7', '7.5 => 8', '8.5 => 9', '9.5 => 10']
```

```
# round module within numpy when decimal is X.5 will give desired (X+1)
import numpy as np
example_of_some_variable = 3.5
rounded_result_of_variable = np.round(example_of_some_variable,0)
print (rounded_result_of_variable)
```

Try this code:

```
def roundup(input):
demo = input if str(input)[-1] != "5" else str(input).replace("5","6")
place = len(demo.split(".")[1])-1
return(round(float(demo),place))
```

The result will be:

```
>>> x = roundup(2.5)
>>> x
3.0
>>> x = roundup(2.05)
>>> x
2.1
>>> x = roundup(2.005)
>>> x
2.01
```

Ooutput you can check here:

https://i.stack.imgur.com/QQUkS.png

```
n = 0.1
round(2.5 + n)
```

You can control the rounding you using the math.ceil module:

```
import math
print(math.ceil(2.5))
> 3
```