#              
## Overview
The **`logspace()` function** in Python is used to return numbers which are evenly spaced on the log scale.

## Syntax
```
numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)
```
## Required parameters
The `logspace()` function takes the following parameter values:
* **`start`**: This represents the starting value of the sequence.
* **`stop`**: This represents the final value of the sequence, unless the `endpoint` parameter is `False`.
* **`dtype`**: This represents the data type of the output array

## Optional parameters
* **`num`**: This represents the number of samples to generate.
* **`endpoint`**: This takes a boolean value. If `True`, the value of the `stop` parameter is the last sample. Otherwise, it is not included. It is `True` by default.
* **`base`**: This represents the base of the log space.
* **`axis`**: This represents the axis in the result to store the samples. It is `0` by default.
## Return value
The `logspace()` function returns number samples equally spaced on a log scale.

## Example

import numpy as np

# creating the array
myarray = np.logspace(1, 10, num=10, endpoint = True, base = 2, dtype = float, axis = 0)

print(myarray)

## Explanation 
* **Line 1**: We import the `numpy` library.
* **Line 4**: We create an array with samples that starts from `1`, stops at `10`, with a `True` value for its endpoint (the `stop` value is included), log base of `2`, `float` data type and a default value for the `axis`. We assign the result to a variable `myarray`.
* **Line 6**: We print the array `myarray`.

What is the logspace() function from NumPy in Python?

Overview

Syntax

Required parameters

Optional parameters

Return value

Example

Explanation