Python Random module is an in-built module of Python that is used to generate random numbers in Python. These are pseudo-random numbers means they are not truly random. This module can be used to perform random actions such as generating random numbers, printing random a value for a list or string, etc.
List of all the functions Python Random Module
|
Function Name
|
Description
|
| seed() |
Initialize the random number generator |
| getstate() |
Returns an object with the current internal state of the random number generator |
| setstate() |
Used to restore the state of the random number generator back to the specified state |
| getrandbits() |
Return an integer with a specified number of bits |
| randrange() |
Returns a random number within the range |
| randint() |
Returns a random integer within the range |
| choice() |
Returns a random item from a list, tuple, or string |
| choices() |
Returns multiple random elements from the list with replacement |
| sample() |
Returns a particular length list of items chosen from the sequence |
| random() |
Generate random floating numbers |
| uniform() |
Return a random floating number between two numbers both inclusive |
| triangular() |
Return a random floating point number within a range with a bias towards one extreme |
| betavariate() |
Return a random floating point number with beta distribution |
| expovariate() |
Return a random floating point number with exponential distribution |
| gammavariate() |
Return a random floating point number with a gamma distribution |
| gauss() |
Return a random floating point number with Gaussian distribution |
| lognormvariate() |
Return a random floating point number with a log-normal distribution |
| normalvariate() |
Return a random floating point number with normal distribution |
| vonmisesvariate() |
Return a random floating point number with von Mises distribution or circular normal distribution |
| paretovariate() |
Return a random floating point number with a Pareto distribution |
| weibullvariate() |
Return a random floating point number with Weibull distribution |
Random in Python Examples
Let’s discuss some common operations performed by this module.
Example: Printing a random value from a list in Python.
Python3
import random
list1 = [1, 2, 3, 4, 5, 6]
print(random.choice(list1))
|
Output:
2
Example: Creating random numbers with Python seed() in Python.
As stated above random module creates pseudo-random numbers. Random numbers depend on the seeding value. For example, if the seeding value is 5 then the output of the below program will always be the same. Therefore, it must not be used for encryption.
Python3
import random
random.seed(5)
print(random.random())
print(random.random())
|
Output:
0.6229016948897019
0.7417869892607294
Generate Random Numbers in Python
random.randint() method is used to generate random integers between the given range.
Syntax: randint(start, end)
Example: Creating random integers
Python3
import random
r1 = random.randint(5, 15)
print("Random number between 5 and 15 is % s" % (r1))
r2 = random.randint(-10, -2)
print("Random number between -10 and -2 is % d" % (r2))
|
Output:
Random number between 5 and 15 is 7
Random number between -10 and -2 is -9
Generate Random Float numbers in Python
A random.random() method is used to generate random floats between 0.0 to 1.
Syntax: random.random()
Example:
Python3
from random import random
print(random())
|
Output:
0.3717933555623072
Randomly Select Elements from a List in Python
Random sampling from a list in Python (random.choice, and sample)
Example 1: Python random.choice() function is used to return a random item from a list, tuple, or string.
Python3
import random
list1 = [1, 2, 3, 4, 5, 6]
print(random.choice(list1))
string = "geeks"
print(random.choice(string))
tuple1 = (1, 2, 3, 4, 5)
print(random.choice(tuple1))
|
Output:
2
k
5
Example 2: Python random.sample() function is used to return a random item from a list, tuple, or string.
Syntax: random.sample(sequence, length)
Python3
from random import sample
list1 = [1, 2, 3, 4, 5]
print(sample(list1,3))
list2 = (4, 5, 6, 7, 8)
print(sample(list2,3))
list3 = "45678"
print(sample(list3,3))
|
Output:
[1, 5, 4]
[8, 5, 6]
['7', '4', '5']
Shuffle List in Python
A random.shuffle() method is used to shuffle a sequence (list). Shuffling means changing the position of the elements of the sequence. Here, the shuffling operation is inplace.
Syntax: random.shuffle(sequence, function)
Example: Shuffling a List
Python3
import random
sample_list = [1, 2, 3, 4, 5]
print("Original list : ")
print(sample_list)
random.shuffle(sample_list)
print("\nAfter the first shuffle : ")
print(sample_list)
random.shuffle(sample_list)
print("\nAfter the second shuffle : ")
print(sample_list)
|
Output:
Original list :
[1, 2, 3, 4, 5]
After the first shuffle :
[4, 3, 5, 2, 1]
After the second shuffle :
[1, 3, 4, 5, 2]
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