# 
## Overview
The **`random` module** in Python comes with various methods that return randomly generated data distribution. 

- **Data distribution** is a function or list that shows all the possible values or intervals of the data. 

- A **random distribution** is a collection of random numbers that obeys a particular probability density function. 
- The **probability density function** is the probability of all the values in an array.

## Generating random numbers based on defined probabilities 
The **`random` module** in `NumPy` generates random numbers based on a defined probability density function. It uses the `choice(()` function to do so.

## The choice() function 
The **`choice()` function** specifies the probability for each array value and generates a `1D` array.
## Syntax
```
choice(list, p=None, size=None)
```
## Parameter value
The `choice()` function takes the following parameter values:
* **`list`**: This represents the `1D` array with the random values.
* **`p`**: This represents the probability for each array value. They all must sum up to `1`.
* **`size`**: This represents the size of the output `1D` array of the random values.
## Code



from numpy import random

# generating a random distribution with a defined probabilty density function
myarray = random.choice([1, 2, 3, 4, 5], p = [0.1, 0.3, 0.5, 0.1, 0.0], size = 50)

print(myarray)

## Explanation
* Line 1: We import the `random` module from `NumPy`.
* Line 4: We generate a random distribution, using the `choice()` function. We define a probability density function for all the values of the array. This is as follows:
   1. The probability of `1` being returned in the distribution is `0.1`.
   2. The probability of `2` being returned in the distribution is `0.3`.
   3. The probability of `3` being returned in the distribution is `0.5`.
   4. The probability of `4` being returned in the distribution is `0.1`.
   5. The probability of `5` being returned in the distribution is `0.0`.

   We give the size of the output `1D` array to be `50`.
* Line 7: We print the `myarray` array.

> Note: No matter how many times we rerun that code, it never returns the value `5`. This is because we already assigned its probability as `0.0`.

 What is random choice() using NumPy in Python?

NumPy's choice() method generates random numbers from an array, defined by specific probabilities totaling 1.