How to get numbers after decimal point?

What about:

a = 1.3927278749291
b = a - int(a)

b
>> 0.39272787492910011

Or, using numpy:

import numpy
a = 1.3927278749291
b = a - numpy.fix(a)

5.55 % 1

Keep in mind this won’t help you with floating point rounding problems. I.e., you may get:

0.550000000001

Or otherwise a little off the 0.55 you are expecting.

Try Modulo:

5.55%1 = 0.54999999999999982

import math
orig = 5.55
whole = math.floor(orig)    # whole = 5.0
frac = orig - whole         # frac = 0.55

Use floor and subtract the result from the original number:

>> import math #gives you floor.
>> t = 5.55 #Give a variable 5.55
>> x = math.floor(t) #floor returns t rounded down to 5..
>> z = t - x #z = 5.55 - 5 = 0.55

Using the decimal module from the standard library, you can retain the original precision and avoid floating point rounding issues:

>>> from decimal import Decimal
>>> Decimal('4.20') % 1
Decimal('0.20')

As kindall notes in the comments, you’ll have to convert native floats to strings first.

>>> n=5.55
>>> if "." in str(n):
...     print "."+str(n).split(".")[-1]
...
.55

Another crazy solution is (without converting in a string):

number = 123.456
temp = 1

while (number*temp)%10 != 0:
    temp = temp *10
    print temp
    print number

temp = temp /10
number = number*temp
number_final = number%temp
print number_final

Use modf:

>>> import math
>>> frac, whole = math.modf(2.5)
>>> frac
0.5
>>> whole
2.0

This is a solution I tried:

num = 45.7234
(whole, frac) = (int(num), int(str(num)[(len(str(int(num)))+1):]))

What about:

a = 1.234
b = a - int(a)
length = len(str(a))

round(b, length-2)

Output:
print(b)
0.23399999999999999
round(b, length-2)
0.234

Since the round is sent to a the length of the string of decimals (‘0.234’), we can just minus 2 to not count the ‘0.’, and figure out the desired number of decimal points. This should work most times, unless you have lots of decimal places and the rounding error when calculating b interferes with the second parameter of round.

Example:

import math
x = 5.55
print((math.floor(x*100)%100))

This is will give you two numbers after the decimal point, 55 from that example. If you need one number you reduce by 10 the above calculations or increase depending on how many numbers you want after the decimal.

similar to the accepted answer, even easier approach using strings would be

def number_after_decimal(number1):
    number = str(number1)
    if 'e-' in number: # scientific notation
        number_dec = format(float(number), '.%df'%(len(number.split(".")[1].split("e-")[0])+int(number.split('e-')[1])))
    elif "." in number: # quick check if it is decimal
        number_dec = number.split(".")[1]
    return number_dec

Float numbers are not stored in decimal (base10) format. Have a read through the python documentation on this to satisfy yourself why. Therefore, to get a base10 representation from a float is not advisable.

Now there are tools which allow storage of numeric data in decimal format. Below is an example using the Decimal library.

from decimal import *

x = Decimal('0.341343214124443151466')
str(x)[-2:] == '66'  # True

y = 0.341343214124443151466
str(y)[-2:] == '66'  # False

Sometimes trailing zeros matter

In [4]: def split_float(x):
   ...:     '''split float into parts before and after the decimal'''
   ...:     before, after = str(x).split('.')
   ...:     return int(before), (int(after)*10 if len(after)==1 else int(after))
   ...: 
   ...: 

In [5]: split_float(105.10)
Out[5]: (105, 10)

In [6]: split_float(105.01)
Out[6]: (105, 1)

In [7]: split_float(105.12)
Out[7]: (105, 12)

import math

x = 1245342664.6
print( (math.floor(x*1000)%1000) //100 )

It definitely worked

You may want to try this:

your_num = 5.55
n = len(str(int(your_num)))
float('0' + str(your_num)[n:])

It will return 0.55.

number=5.55
decimal=(number-int(number))
decimal_1=round(decimal,2)
print(decimal)
print(decimal_1)

output: 0.55

See what I often do to obtain numbers after the decimal point in python
3:

a=1.22
dec=str(a).split('.')
dec= int(dec[1])

If you are using pandas:

df['decimals'] = df['original_number'].mod(1)

Another option would be to use the re module with re.findall or re.search:

import re


def get_decimcal(n: float) -> float:
    return float(re.search(r'.d+', str(n)).group(0))


def get_decimcal_2(n: float) -> float:
    return float(re.findall(r'.d+', str(n))[0])


def get_int(n: float) -> int:
    return int(n)


print(get_decimcal(5.55))
print(get_decimcal_2(5.55))
print(get_int(5.55))

Output

0.55
0.55
5

If you wish to simplify/modify/explore the expression, it’s been explained on the top right panel of regex101.com. If you’d like, you can also watch in this link, how it would match against some sample inputs.

Source

How to get rid of additional floating numbers in python subtraction?

I’ve found that really large numbers with really large fractional parts can cause problems when using modulo 1 to get the fraction.

import decimal

>>> d = decimal.Context(decimal.MAX_PREC).create_decimal(
... '143000000000000000000000000000000000000000000000000000000000000000000000000000.1231200000000000000002013210000000'
... )
...
>>> d % 1
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
decimal.InvalidOperation: [<class 'decimal.DivisionImpossible'>]

I instead grabbed the integral part and subtracted it first to help simplify the rest of it.

>>> d - d.to_integral()
Decimal('0.1231200000000000000002013210')

Another example using modf

from math import modf
number = 1.0124584

# [0] decimal, [1] integer
result = modf(number)
print(result[0])
# output = 0124584
print(result[1])
# output = 1

A solution is using modulo and rounding.

import math

num = math.fabs(float(5.55))
rem = num % 1

rnd_by =   len(str(num)) - len(str(int(num))) - 1

print(str(round(rem,rnd_by)))

Your output will be 0.55

Just using simple operator division ‘/’ and floor division ‘//’ you can easily get the fraction part of any given float.

number = 5.55

result = (number/1) - (number//1)

print(result)

You can use this:

number = 5.55
int(str(number).split('.')[1])

This is only if you want toget the first decimal

print(int(float(input()) * 10) % 10)

Or you can try this

num = float(input())
b = num - int(num) 
c = b * 10
print(int(c))

def fractional_part(numerator, denominator):
    if denominator == 0:
        return 0
    else:
        return numerator / denominator - numerator // denominator

print(fractional_part(5, 5)) # Should be 0
print(fractional_part(5, 4)) # Should be 0.25
print(fractional_part(5, 3)) # Should be 0.66...
print(fractional_part(5, 2)) # Should be 0.5
print(fractional_part(5, 0)) # Should be 0
print(fractional_part(0, 5)) # Should be 0

Using math module

speed of this has to be tested

from math import floor

def get_decimal(number):
    '''returns number - floor of number'''
    return number-floor(number)

Example:

n = 765.126357123

get_decimal(n)

0.12635712300004798

def fractional_part(numerator, denominator):
    # Operate with numerator and denominator to 
# keep just the fractional part of the quotient
if  denominator == 0:
      return 0
  else:
       return (numerator/ denominator)-(numerator // denominator)  
 

print(fractional_part(5, 5)) # Should be 0
print(fractional_part(5, 4)) # Should be 0.25
print(fractional_part(5, 3)) # Should be 0.66...
print(fractional_part(5, 2)) # Should be 0.5
print(fractional_part(5, 0)) # Should be 0
print(fractional_part(0, 5)) # Should be 0

Easier if the input is a string, we can use split()

decimal = input("Input decimal number: ") #123.456

# split 123.456 by dot = ['123', '456']
after_coma = decimal.split('.')[1] 

# because only index 1 is taken then '456'
print(after_coma) # '456'

if you want to make a number type
print(int(after_coma)) # 456

To make it work with both positive and negative numbers:
try abs(x)%1. For negative numbers, without with abs, it will go wrong.

5.55 % 1

output 0.5499999999999998

-5.55 % 1

output 0.4500000000000002

Late in the party, leaving comment for new visitors.
If you know you need only 2 decimal places then you can use inbound round

round(1.15 % 1, 2)

I tried a lot of the other solutions but none of them work for me.

In my case, I have different operations and always in the last step, my result has more than the expected decimals.

For example, if you do:

61 * 0.1 the result is the float 6.1000000000000005

To get the 6.1 we have to parse the default float (at least in my case with 64bits) to a lower one:

import numpy as np    

x = 61 * 0.1
y = np.float32(x)

If you have a lot of operations before, try to do the casting at the end 🙂

To answer better the original questions it would be:

import math
import numpy as np    

x_deci, x_inte = math.modf(5.55)
decimals = np.float32(x_deci)

and the result for the decimals is 0.55 instead of 0.5499999999999998

I was interested in the relative timing of the more sensible answers given here. Using this script on my laptop (MacBookPro16, 6-Core Intel Core i7 2.6 GHz):

#!/bin/sh

python3 -V
python3 -m timeit -s 'a = 5.55' 'b = a % 1'
python3 -m timeit -s 'a = 5.55' 'b = a - a//1'
python3 -m timeit -s 'a = 5.55; import math' 'b = a - math.floor(a)'
python3 -m timeit -s 'a = 5.55' 'b = a - int(a)'
python3 -m timeit -s 'a = 5.55; import math' 'frac, whole = math.modf(a)'

I get the following timing:

Python 3.9.10
10000000 loops, best of 5: 34.9 nsec per loop
5000000 loops,  best of 5: 51   nsec per loop
5000000 loops,  best of 5: 69.2 nsec per loop
5000000 loops,  best of 5: 84.1 nsec per loop
5000000 loops,  best of 5: 97.7 nsec per loop

So the simple % 1 seems the fastest approach

a = 12.587
b = float('0.' + str(a).split('.')[-1])