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# Python | Select random value from a list

Given a list and our task is to randomly select elements from the list in Python using various functions. Selecting random numbers from a list can be used sometimes while building games, choosing a random range, etc.

Example :

```Input: [2, 3, 4 , 5, 6 ]
Output: 2
Input: [3, 5, 6, 3, 2]
Output: 6```

## Using random.choice()  to select random value from a list

This random.choice() function is designed for getting a Random sampling from a list in Python and hence is the most common method to achieve this task of fetching a random number from a list.

## Python3

 `import` `random` `# initializing list``test_list ``=` `[``1``, ``4``, ``5``, ``2``, ``7``]` `# printing original list``print``(``"Original list is : "` `+` `str``(test_list))` `# using random.choice() to``# get a random number``random_num ``=` `random.choice(test_list)` `# printing random number``print``(``"Random selected number is : "` `+` `str``(random_num))`

Output:

```Original list is : [1, 4, 5, 2, 7]
Random selected number is : 1```

## Using random.randrange() to select random value from a list

random.randrange() method is used to generate a random number in a given range, we can specify the range to be 0 to the length of the list, and get the index, and then the corresponding value.

## Python3

 `import` `random` `# initializing list``test_list ``=` `[``1``, ``4``, ``5``, ``2``, ``7``]` `# printing original list``print``(``"Original list is : "` `+` `str``(test_list))` `# using random.randrange() to``# get a random number``rand_idx ``=` `random.randrange(``len``(test_list))``random_num ``=` `test_list[rand_idx]` `# printing random number``print``(``"Random selected number is : "` `+` `str``(random_num))`

Output:

```Original list is : [1, 4, 5, 2, 7]
Random selected number is : 7```

## Using random.randint() to select random value from a list

random.randint() is used to generate the random number, also this can be used to generate any number in a range, and then using that number, we can find the value at the corresponding index, just like the above-mentioned technique. But it differs by the fact that it requires 2 mandatory arguments for range.

## Python3

 `import` `random` `# initializing list``test_list ``=` `[``1``, ``4``, ``5``, ``2``, ``7``]` `# printing original list``print``(``"Original list is : "` `+` `str``(test_list))` `# using random.randint() to``# get a random number``rand_idx ``=` `random.randint(``0``, ``len``(test_list)``-``1``)``random_num ``=` `test_list[rand_idx]` `# printing random number``print``(``"Random selected number is : "` `+` `str``(random_num))`

Output:

```Original list is : [1, 4, 5, 2, 7]
Random selected number is : 4```

## Using random.random() to select random value from a list

random.random() method generates the floating-point numbers in the range of 0 to 1. We can also get the index value of list using this function by multiplying the result and then typecasting it to integer so as to get the integer index and then the corresponding list value.

## Python3

 `import` `random` `# initializing list``test_list ``=` `[``1``, ``4``, ``5``, ``2``, ``7``]` `# printing original list``print``(``"Original list is : "` `+` `str``(test_list))` `# using random.random() to``# get a random number``rand_idx ``=` `int``(random.random() ``*` `len``(test_list))``random_num ``=` `test_list[rand_idx]` `# printing random number``print``(``"Random selected number is : "` `+` `str``(random_num))`

Output:

```Original list is : [1, 4, 5, 2, 7]
Random selected number is : 7```

## Using random.sample() to select random value from a list

Python has a built-in function called random.sample(). The random module contains the random.sample() function. It has the ability to choose multiple items from a list.

## Python3

 `import` `random``test_list ``=` `[``1``, ``4``, ``5``, ``2``, ``7``]``print``(``"Original list is : "` `+` `str``(test_list))` `print``(``"Random element is :"``, random.sample(test_list, ``5``))`

Output:

```Original list is : [1, 4, 5, 2, 7]
Random element is : [7, 4, 1, 5, 2]```

## Using random.choices() to select random value from a list

The random.choices function is stored in the random module (). Selecting numerous items from a list or a single item from a particular sequence is handy with the help of random.choices function.

## Python3

 `import` `random``test_list ``=` `[``11``, ``44``, ``55``, ``22``, ``77``]``print``(``"Original list is : "` `+` `str``(test_list))` `print``(``"Random element is :"``, random.choices(test_list, k``=``4``))`

Output:

```Original list is : [11, 44, 55, 22, 77]
Random element is : [11, 11, 44, 77]```

## Select k random value from a list

Here we have grouped all elements in a pair of size k.

## Python3

 `import` `random` `def` `select_random_Ns(l, k):``    ``random.shuffle(l)``    ``res ``=` `[]``    ``for` `i ``in` `range``(``0``, ``len``(l), k):``        ``res.append(l[i:i ``+` `k])``    ``return` `res``        ` `l ``=` `[``'G'``, ``'E'``, ``'E'``, ``'K'``, ``'S'``, ``'F'``, ``'O'``, ``'R'``, ``'G'``, ``'E'``, ``'E'``, ``'K'``, ``'S'``]` `print``(select_random_Ns(l, ``3``))`

Output:

`[['G', 'G', 'R'], ['K', 'K', 'E'], ['O', 'F', 'E'], ['S', 'E', 'S'], ['E']]`

## Note: Install numpy using “pip install numpy”

The numpy.random.choice() method is used for getting a random sample from an array in numpy. It is also possible to generate a random sample from a list by converting the list to a numpy array.

Algorithm:

Import numpy and initialize the list.
Convert the list to a numpy array.
Use numpy.random.choice() method to select a random value from the array.
Print the selected value.

## Python3

 `import` `numpy as np` `# Initializing list``test_list ``=` `[``2``, ``3``, ``4``, ``5``, ``6``]` `# Converting list to numpy array``test_array ``=` `np.array(test_list)` `# Using numpy.random.choice() to get a random number``random_num ``=` `np.random.choice(test_array)` `# Printing the random number``print``(``"Random selected number is : "` `+` `str``(random_num))`

Output:

Random selected number is : 5

Time Complexity:
The time complexity of the numpy.random.choice() method is O(k), where k is the size of the sample to be generated.

Space Complexity:
The space complexity of the numpy.random.choice() method is O(n), where n is the size of the array.

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