Random Numbers in Python
Python defines a set of functions that are used to generate or manipulate random numbers through the random module. Functions in the random module rely on a pseudo-random number generator function random(), which generates a random float number between 0.0 and 1.0. These particular type of functions is used in a lot of games, lotteries, or any application requiring a random number generation.
Random Number Operations
1. choice() :- choice() is an inbuilt function in the Python programming language that returns a random item from a list, tuple, or string.
Example:
# Python3 program to demonstrate the use of # choice() method # import random import random # prints a random value from the list list1 = [ 1 , 2 , 3 , 4 , 5 , 6 ] print (random.choice(list1)) # prints a random item from the string string = "striver" print (random.choice(string)) |
Output:
5 t
2. randrange(beg, end, step):- The random module offers a function that can generate random numbers from a specified range and also allowing rooms for steps to be included, called randrange().
Example:
- Python
# Python code to demonstrate the working of # choice() and randrange() # importing "random" for random operations import random # using choice() to generate a random number from a # given list of numbers. print ( "A random number from list is : " , end = "") print (random.choice([ 1 , 4 , 8 , 10 , 3 ])) # using randrange() to generate in range from 20 # to 50. The last parameter 3 is step size to skip # three numbers when selecting. print ( "A random number from range is : " , end = "") print (random.randrange( 20 , 50 , 3 )) |
Output:
A random number from list is : 4 A random number from range is : 41
3. random():- This method is used to generate a float random number less than 1 and greater or equal to 0.
4. seed():- Seed function is used to save the state of a random function so that it can generate some random numbers on multiple executions of the code on the same machine or on different machines (for a specific seed value). The seed value is the previous value number generated by the generator. For the first time when there is no previous value, it uses current system time.
Example:
- Python
# Python code to demonstrate the working of # random() and seed() # importing "random" for random operations import random # using random() to generate a random number # between 0 and 1 print ( "A random number between 0 and 1 is : " , end = "") print (random.random()) # using seed() to seed a random number random.seed( 5 ) # printing mapped random number print ( "The mapped random number with 5 is : " , end = "") print (random.random()) # using seed() to seed different random number random.seed( 7 ) # printing mapped random number print ( "The mapped random number with 7 is : " , end = "") print (random.random()) # using seed() to seed to 5 again random.seed( 5 ) # printing mapped random number print ( "The mapped random number with 5 is : " , end = "") print (random.random()) # using seed() to seed to 7 again random.seed( 7 ) # printing mapped random number print ( "The mapped random number with 7 is : " , end = "") print (random.random()) |
Output:
A random number between 0 and 1 is : 0.510721762520941
The mapped random number with 5 is : 0.6229016948897019
The mapped random number with 7 is : 0.32383276483316237
The mapped random number with 5 is : 0.6229016948897019
The mapped random number with 7 is : 0.32383276483316237
5. shuffle():- It is used to shuffle a sequence (list). Shuffling means changing the position of the elements of the sequence. Here, the shuffling operation is in place.
Example:
- Python3
# import the random module import random # declare a list sample_list = [ 'A' , 'B' , 'C' , 'D' , 'E' ] print ( "Original list : " ) print (sample_list) # first shuffle random.shuffle(sample_list) print ( "\nAfter the first shuffle : " ) print (sample_list) # second shuffle random.shuffle(sample_list) print ( "\nAfter the second shuffle : " ) print (sample_list) |
Output:
Original list : ['A', 'B', 'C', 'D', 'E'] After the first shuffle : ['A', 'B', 'E', 'C', 'D'] After the second shuffle : ['C', 'E', 'B', 'D', 'A']
6. uniform(a, b):- This function is used to generate a floating point random number between the numbers mentioned in its arguments. It takes two arguments, lower limit(included in generation) and upper limit(not included in generation).
- Python
# Python code to demonstrate the working of # shuffle() and uniform() # importing "random" for random operations import random # Initializing list li = [ 1 , 4 , 5 , 10 , 2 ] # Printing list before shuffling print ( "The list before shuffling is : " , end = "") for i in range ( 0 , len (li)): print (li[i], end = " " ) print ( "\r" ) # using shuffle() to shuffle the list random.shuffle(li) # Printing list after shuffling print ( "The list after shuffling is : " , end = "") for i in range ( 0 , len (li)): print (li[i], end = " " ) print ( "\r" ) # using uniform() to generate random floating number in range # prints number between 5 and 10 print ( "The random floating point number between 5 and 10 is : " , end = "") print (random.uniform( 5 , 10 )) |
Output:
The list before shuffling is : 1 4 5 10 2
The list after shuffling is : 2 1 4 5 10
The random floating point number between 5 and 10 is : 5.183697823553464
Last Updated on October 27, 2021 by admin