Decimal representation in python - python

When given input Iam getting result like 1.0 but I need it to be 1.000000000000
How should I modify within hypot??
small=1000000000
from math import hypot
def pairwise(iterable):
a, b = iter(iterable), iter(iterable)
next(b, None)
return zip(a, b)
n=int(input())
l1=[]
l2=[]
for i in range(0,n):
c,d=list(map(int,input().split()))
l1.append(c)
l2.append(d)
a=tuple(l1)
b=tuple(l2)
dist = [float(hypot(p2[0]-p1[0], p2[1]-p1[1])) for p1, p2 in pairwise(tuple(zip(a, b)))]
for x in dist:
if x<small:
small=x
print(small)

You can use the format method like so:
format(math.pi, '.12g') # Give 12 significant digits of pi
format(math.pi, '.2f') # Give 2 digits of pi after decimal point

You can change your print to
print(f'{small:.12f}')

Related

Determining if there exists numbers n1, n2 in a, b and n3 in c such that n1 + n2 = n3 [ftt, polynomial multiplication]

Hello I am working on a problem that seems to be out of my league so any tips, pointers to reading materials etc. are really appreciated. That being said here is the problem:
given 3 subsets of numbers a, b, c ⊆ {0, ..., n}. In nlog(n) check if there exists numbers n1, n2 in a, b and n3 in c where n1 + n2 = n3.
I am given the hint to convert a and b to polynomial coefficients and to use polynomial multiplication using ftt to multiply the coefficients of a and b.
Now where I am stuck is after getting the result of the polynomial multiplication, what do I do next?
Thank you in advanced.
from numpy.fft import fft, ifft
from numpy import real, imag
def polynomial_multiply(a_coeff_list, b_coeff_list):
# Return the coefficient list of the multiplication
# of the two polynomials
# Returned list must be a list of floating point numbers.
# list from complex to reals by using the
# real function in numpy
len_a = len(a_coeff_list)
len_b = len(b_coeff_list)
for i in range(len_a-1):
b_coeff_list.append(0)
for i in range(len_b-1):
a_coeff_list.append(0)
a_fft = fft(a_coeff_list)
b_fft = fft(b_coeff_list)
c = []
for i in range(len(a_fft)):
c.append(a_fft[i] * b_fft[i])
inverse_c = ifft(c)
return real(inverse_c)
# inputs sets a, b, c
# return True if there exist n1 in a, n2 in B such that n1+n2 in C
# return False otherwise
# number n which signifies the maximum number in a, b, c
def check_sum_exists(a, b, c, n):
a_coeffs = [0]*n
b_coeffs = [0]*n
# convert sets a, b into polynomials as provided in the hint
# a_coeffs and b_coeffs should contain the result
i = 0
for item in a:
a_coeffs[i] = item
i += 1
i = 0
for item in b:
b_coeffs[i] = item
i += 1
# multiply them together
c_coeffs = polynomial_multiply(a_coeffs, b_coeffs)
# now this is where i am lost
# how to determine with c_coeffs?
return False
# return True/False
Thanks to all who helped. I figured it out and hopefully this can help anyone who runs into a similar problem. The issue I had was I incorrectly assigned the coefficients for a_coeffs and b_coeffs.
Here is the solution which passed the tests for those interested.
from numpy.fft import fft, ifft
from numpy import real, imag
def check_sum_exists(a, b, c, n):
a_coeffs = [0] * n
b_coeffs = [0] * n
# convert sets a, b into polynomials as provided in the hint
# a_coeffs and b_coeffs should contain the result
for coeff in a:
a_coeffs[coeff] = 1
for coeff in b:
b_coeffs[coeff] = 1
# multiply them together
c_coeffs = polynomial_multiply(a_coeffs, b_coeffs)
# use the result to solve the problem at hand
for coeff in c:
if c_coeffs[coeff] >= .5:
return True
return False
# return True/False
def polynomial_multiply(a_coeff_list, b_coeff_list):
# Return the coefficient list of the multiplication
# of the two polynomials
# Returned list must be a list of floating point numbers.
# Please convert list from complex to reals by using the
# real function in numpy.
for i in range(len(a_coeff_list) - 1):
b_coeff_list.append(0)
for i in range(len(b_coeff_list) - 1):
a_coeff_list.append(0)
a_fft = fft(a_coeff_list)
b_fft = fft(b_coeff_list)
c = []
for i in range(len(a_fft)):
c.append(a_fft[i] * b_fft[i])
return real(ifft(c))

convert number to scientific notation python with a variable

I want to use str.format to convert 2 number to scientific notation raised to the same exponential but the exponential need to be set off the str.format.
Example:
from math import log10
y=10000
x=round(np.log10(y))
m=10
y="{:e}".format(y)
m="{:e}".format(m)
print(y)
print(m)
here I have that m has e = 1 and y e = 4 and what I want is for both to have the same "e". i want to set both to exponencial x.
I think you have to calculate this yourself, for example using a helper function which returns a string:
def format_exp(x, n):
significand = x / 10 ** n
exp_sign = '+' if n >= 0 else '-'
return f'{significand:f}e{exp_sign}{n:02d}'
Explanation:
x is the number to format, and n is the power that you want to display;
significand calculates the part to show in front of the e by dividing x by 10n (10 ** n);
exp_sign is either + or -, depending on the value of n (to replicate the default behaviour).
Example usage:
>>> import math
>>> y = 10000
>>> m = 10
>>> x = math.floor(math.log10(y)) # x = 4
>>> print(format_exp(y, x))
1.000000e+04
>>> print(format_exp(m, x))
0.001000e+04
>>> print(format_exp(y, 1))
1000.000000e+01
>>> print(format_exp(m, 1))
1.000000e+01
You can increase the complexity of this function by adding an additional parameter d to set the number of decimals printed in the significand part (with a default value of 6 to reproduce the default Python behaviour):
def format_exp(x, n, d=6):
significand = x / 10 ** n
exp_sign = '+' if n >= 0 else '-'
return f'{significand:.{d}f}e{exp_sign}{n:02d}'
With this function, you can control the number of decimals printed:
>>> print(format_exp(y, x)) # default behaviour still works
1.000000e+04
>>> print(format_exp(y, x, 4))
1.0000e+04
>>> print(format_exp(y, x, 1))
1.0e+04

Python function-unexpected output

I have this Python function:
def main(n,x):
g=0
for i in range(1,n):
g+=((-1)^i)*(x^(2*i+1))/(2*i+1)
return g
print main(3,2)
and the output is -6, when I think it should be 86/15. Where is my mistake? I want to find the n-value of x-(x^3)/3+(x^5)/5+...
A few issues with your current solution:
Your exponentiation operator should be ** not ^ which is XOR.
You should start range from 0 not 1 (then first multiplier is -1**0 = 1)
Change one of the numbers in the division to float, to avoid integer division in Python 2.
def main(n, x):
g = 0
for i in range(n):
g += ((-1)**i) * (x**(2*i+1))/float(2*i+1)
return g
If you want your answer in fraction you can use:
from fractions import Fraction
def main(n,x):
g=0
for i in range(n):
g+=Fraction(((-1)**i)*(x**(2*i+1)),(2*i+1))
return g
print main(3,2)
It gives output:
86/15

What Python function could i use to find the greatest common divisor of three numbers? [duplicate]

So I'm writing a program in Python to get the GCD of any amount of numbers.
def GCD(numbers):
if numbers[-1] == 0:
return numbers[0]
# i'm stuck here, this is wrong
for i in range(len(numbers)-1):
print GCD([numbers[i+1], numbers[i] % numbers[i+1]])
print GCD(30, 40, 36)
The function takes a list of numbers.
This should print 2. However, I don't understand how to use the the algorithm recursively so it can handle multiple numbers. Can someone explain?
updated, still not working:
def GCD(numbers):
if numbers[-1] == 0:
return numbers[0]
gcd = 0
for i in range(len(numbers)):
gcd = GCD([numbers[i+1], numbers[i] % numbers[i+1]])
gcdtemp = GCD([gcd, numbers[i+2]])
gcd = gcdtemp
return gcd
Ok, solved it
def GCD(a, b):
if b == 0:
return a
else:
return GCD(b, a % b)
and then use reduce, like
reduce(GCD, (30, 40, 36))
Since GCD is associative, GCD(a,b,c,d) is the same as GCD(GCD(GCD(a,b),c),d). In this case, Python's reduce function would be a good candidate for reducing the cases for which len(numbers) > 2 to a simple 2-number comparison. The code would look something like this:
if len(numbers) > 2:
return reduce(lambda x,y: GCD([x,y]), numbers)
Reduce applies the given function to each element in the list, so that something like
gcd = reduce(lambda x,y:GCD([x,y]),[a,b,c,d])
is the same as doing
gcd = GCD(a,b)
gcd = GCD(gcd,c)
gcd = GCD(gcd,d)
Now the only thing left is to code for when len(numbers) <= 2. Passing only two arguments to GCD in reduce ensures that your function recurses at most once (since len(numbers) > 2 only in the original call), which has the additional benefit of never overflowing the stack.
You can use reduce:
>>> from fractions import gcd
>>> reduce(gcd,(30,40,60))
10
which is equivalent to;
>>> lis = (30,40,60,70)
>>> res = gcd(*lis[:2]) #get the gcd of first two numbers
>>> for x in lis[2:]: #now iterate over the list starting from the 3rd element
... res = gcd(res,x)
>>> res
10
help on reduce:
>>> reduce?
Type: builtin_function_or_method
reduce(function, sequence[, initial]) -> value
Apply a function of two arguments cumulatively to the items of a sequence,
from left to right, so as to reduce the sequence to a single value.
For example, reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) calculates
((((1+2)+3)+4)+5). If initial is present, it is placed before the items
of the sequence in the calculation, and serves as a default when the
sequence is empty.
Python 3.9 introduced multiple arguments version of math.gcd, so you can use:
import math
math.gcd(30, 40, 36)
3.5 <= Python <= 3.8.x:
import functools
import math
functools.reduce(math.gcd, (30, 40, 36))
3 <= Python < 3.5:
import fractions
import functools
functools.reduce(fractions.gcd, (30, 40, 36))
A solution to finding out the LCM of more than two numbers in PYTHON is as follow:
#finding LCM (Least Common Multiple) of a series of numbers
def GCD(a, b):
#Gives greatest common divisor using Euclid's Algorithm.
while b:
a, b = b, a % b
return a
def LCM(a, b):
#gives lowest common multiple of two numbers
return a * b // GCD(a, b)
def LCMM(*args):
#gives LCM of a list of numbers passed as argument
return reduce(LCM, args)
Here I've added +1 in the last argument of range() function because the function itself starts from zero (0) to n-1. Click the hyperlink to know more about range() function :
print ("LCM of numbers (1 to 5) : " + str(LCMM(*range(1, 5+1))))
print ("LCM of numbers (1 to 10) : " + str(LCMM(*range(1, 10+1))))
print (reduce(LCMM,(1,2,3,4,5)))
those who are new to python can read more about reduce() function by the given link.
The GCD operator is commutative and associative. This means that
gcd(a,b,c) = gcd(gcd(a,b),c) = gcd(a,gcd(b,c))
So once you know how to do it for 2 numbers, you can do it for any number
To do it for two numbers, you simply need to implement Euclid's formula, which is simply:
// Ensure a >= b >= 1, flip a and b if necessary
while b > 0
t = a % b
a = b
b = t
end
return a
Define that function as, say euclid(a,b). Then, you can define gcd(nums) as:
if (len(nums) == 1)
return nums[1]
else
return euclid(nums[1], gcd(nums[:2]))
This uses the associative property of gcd() to compute the answer
Try calling the GCD() as follows,
i = 0
temp = numbers[i]
for i in range(len(numbers)-1):
temp = GCD(numbers[i+1], temp)
My way of solving it in Python. Hope it helps.
def find_gcd(arr):
if len(arr) <= 1:
return arr
else:
for i in range(len(arr)-1):
a = arr[i]
b = arr[i+1]
while b:
a, b = b, a%b
arr[i+1] = a
return a
def main(array):
print(find_gcd(array))
main(array=[8, 18, 22, 24]) # 2
main(array=[8, 24]) # 8
main(array=[5]) # [5]
main(array=[]) # []
Some dynamics how I understand it:
ex.[8, 18] -> [18, 8] -> [8, 2] -> [2, 0]
18 = 8x + 2 = (2y)x + 2 = 2z where z = xy + 1
ex.[18, 22] -> [22, 18] -> [18, 4] -> [4, 2] -> [2, 0]
22 = 18w + 4 = (4x+2)w + 4 = ((2y)x + 2)w + 2 = 2z
As of python 3.9 beta 4, it has got built-in support for finding gcd over a list of numbers.
Python 3.9.0b4 (v3.9.0b4:69dec9c8d2, Jul 2 2020, 18:41:53)
[Clang 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import math
>>> A = [30, 40, 36]
>>> print(math.gcd(*A))
2
One of the issues is that many of the calculations only work with numbers greater than 1. I modified the solution found here so that it accepts numbers smaller than 1. Basically, we can re scale the array using the minimum value and then use that to calculate the GCD of numbers smaller than 1.
# GCD of more than two (or array) numbers - alows folating point numbers
# Function implements the Euclidian algorithm to find H.C.F. of two number
def find_gcd(x, y):
while(y):
x, y = y, x % y
return x
# Driver Code
l_org = [60e-6, 20e-6, 30e-6]
min_val = min(l_org)
l = [item/min_val for item in l_org]
num1 = l[0]
num2 = l[1]
gcd = find_gcd(num1, num2)
for i in range(2, len(l)):
gcd = find_gcd(gcd, l[i])
gcd = gcd * min_val
print(gcd)
HERE IS A SIMPLE METHOD TO FIND GCD OF 2 NUMBERS
a = int(input("Enter the value of first number:"))
b = int(input("Enter the value of second number:"))
c,d = a,b
while a!=0:
b,a=a,b%a
print("GCD of ",c,"and",d,"is",b)
As You said you need a program who would take any amount of numbers
and print those numbers' HCF.
In this code you give numbers separated with space and click enter to get GCD
num =list(map(int,input().split())) #TAKES INPUT
def print_factors(x): #MAKES LIST OF LISTS OF COMMON FACTROS OF INPUT
list = [ i for i in range(1, x + 1) if x % i == 0 ]
return list
p = [print_factors(numbers) for numbers in num]
result = set(p[0])
for s in p[1:]: #MAKES THE SET OF COMMON VALUES IN LIST OF LISTS
result.intersection_update(s)
for values in result:
values = values*values #MULTIPLY ALL COMMON FACTORS TO FIND GCD
values = values//(list(result)[-1])
print('HCF',values)
Hope it helped

How to get numbers after decimal point?

How do I get the numbers after a decimal point?
For example, if I have 5.55, how do i get .55?
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.
Use modf:
>>> import math
>>> frac, whole = math.modf(2.5)
>>> frac
0.5
>>> whole
2.0
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)
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.
An easy approach for you:
number_dec = str(number-int(number))[1:]
Try Modulo:
5.55%1 = 0.54999999999999982
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
import math
orig = 5.55
whole = math.floor(orig) # whole = 5.0
frac = orig - whole # frac = 0.55
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
>>> n=5.55
>>> if "." in str(n):
... print "."+str(n).split(".")[-1]
...
.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)
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)
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
This is a solution I tried:
num = 45.7234
(whole, frac) = (int(num), int(str(num)[(len(str(int(num)))+1):]))
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
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
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.
import math
x = 1245342664.6
print( (math.floor(x*1000)%1000) //100 )
It definitely worked
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?
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))
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
a = 12.587
b = float('0.' + str(a).split('.')[-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.
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)

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