# How to get numbers after decimal point?

## Question:

How do I get the numbers after a decimal point?

For example, if I have `5.55`

, how do i get `.55`

?

## Answers:

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
```

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

An easy approach for you:

```
number_dec = str(number-int(number))[1:]
```

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 ðŸ™‚

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])
```