Last modified: Jan 10, 2023 By Alexander Williams

# 3 Methods to random number between 0 and 1 in Python

Python programming has many built-function and methods to generate numbers.

This tutorial will show three methods to random a member between 0 and 1.

## 1. random.random()

**random()** is a method of random() that returns a floating-point number between **0 and 1**.

### Syntax

`random.random()`

### Example

```
import random
# Get a random number between 0 and 1
rd = random.random()
print(rd)
```

Output:

`0.5396613726896038`

As you can see, the **0.5396613726896038** number is between 0 and 1.

We'll print **two decimal places** of our number in the following example:

```
# Print 2 decimal places of a number.
n = "{:.2f}".format(rd)
print(n)
```

Output:

`0.54`

## 2. random.uniform()

**uniform()** is a method that returns a random floating number between two **given** numbers. We can use this method to get a random number between 0 and 1.

### Syntax

`random.uniform(a, b)`

### Example

```
import random
# Get a random number between 0 and 1
rd = random.uniform(0, 1)
print(rd)
```

Here, we have set **0** and **1** in the uniform's parameter, which means the random number will be between 0 and 1.

Output:

`0.8360711852906063`

## 3. np.random.random()

**np.random.random()** is a method of NumPy that returns a random floating number by a given **size**. By default, the method return **one** random number.

Let's see how to use it to get a random number between 0 and 1.

### Syntax

`random.random(size=None)`

### By default Example

```
import numpy as np
# Random number
rd = np.random.random()
print(rd)
```

Output:

`0.36613218384578594`

It will return **5** random numbers in the following example:

```
import numpy as np
# 5 Random numbers
rd = np.random.random(5)
print(rd)
```

Output:

`[0.25336161 0.87962794 0.41721669 0.48175205 0.90389224]`