# Python quantize() Function

Python quantize() Function return a value equal to the first operand after rounding and having the exponent of the second operand.

``Decimal.quantize(value)``

## Python quantize() function example

Simple example code.

`from decimal import *# decimal valuea = Decimal(-1)b = Decimal('0.142857')print(a)print(b)# Decimal.quantize()print(a.quantize(b))print(b.quantize(b))`

Output:

list.append(decimal)

The method lists the decimal value and limits the decimal point to ‘1.00’ through quantize().

`from decimal import Decimallist1 = list()list1.append((Decimal(2.10).copy_negate().quantize(Decimal('1.00')),             Decimal(1.3).copy_sign(Decimal(1.3)).quantize(Decimal('1.00')),             Decimal(3).exp().quantize(Decimal('1.00'))))print("The items in the list1 are:,", list1)`

Output: The items in the list1 are:, [(Decimal(‘-2.10’), Decimal(‘1.30’), Decimal(‘20.09’))]

### How to define a rounding scale for Decimal.quantize?

Answer: Unlike binary floating-point, decimal instances have a concept of significant trailing zeroes, and it’s only the internal exponent `quantize()` uses.

`from decimal import Decimal, ROUND_HALF_UPdef custom_round(dec: Decimal, scale, rounding_mode):    return dec.quantize(Decimal(scale), rounding_mode)number_1 = Decimal("10.026")res1 = custom_round(number_1, "1.00", ROUND_HALF_UP)print(res1) # 10.03`

Do comment if you have any doubts or suggestions on this Python function code.

Note: IDE: PyCharm 2021.3.3 (Community Edition)

Windows 10

Python 3.10.1

All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.