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# NumPy | uniform method

schedule Aug 11, 2023
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NumPy's `random.uniform(~)` method samples random values from a uniform distribution. In other words, the method returns an array of random floats.

NOTE

To generate random floats from 0 to 1, use `random(~)` instead for convenience.

# Parameters

1. `low`link | `float` or array-like of `float`s | `optional`

The lower bound (inclusive). By default, `low=0`.

2. `high`link | `float` or array-like of `float`s

The upper bound (inclusive). By default, `high=1.0`.

3. `size`link | `int` or tuple of `int`s | `optional`

By default, a single value is returned if `low` and `high` are both float.

# Return Value

If `size` is not specified and `low` and `high` are both scalars, then a single `float` is returned. Otherwise, a NumPy array of floats are returned.

# Examples

## Generating a single random float

To generate a single random float between 1 (inclusive) and 10 (inclusive):

``` np.random.uniform(low=1, high=10) 8.841304420902002 ```

# Generating multiple random floats

To generate multiple random floats between 1 (inclusive) and 10 (inclusive):

``` np.random.uniform(low=1, high=10, size=2) array([4.2625794 , 8.20604428]) ```
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