The Numpy library in Python comes with a number of built-in functions to help get common descriptive statistics like max, min, mean, median, etc. from arrays. In this tutorial, we will look at how to get the min value in a Numpy array with the help of some examples.

## How to find the min value of a Numpy array?

You can use the Numpy `amin()`

function to get the min value of a Numpy array. Pass the array as an argument to the function. The following is the syntax –

# min value in numpy array ar numpy.amin(ar)

It returns the minimum value in the array. You can also use the Numpy `amin()`

function to get the minimum value along a particular axis in a Numpy array (useful for 2-D or higher dimension arrays).

**Note – **The `numpy.min()`

function is an alias for the `numpy.amin()`

function. Thus, you can use anyone based on your preference to get the minimum value in an array or the minimum value along a particular axis in the array.

## Steps to Find the Min Value in Numpy Array

Let’s now look at a step-by-step example of using the above syntax to get the minimum value in a Numpy array.

### Step 1 – Create a Numpy array

First, we will create a Numpy array that we will be using throughout this tutorial. If you already have a Numpy array to operate on, skip this step.

import numpy as np # create numpy array ar = np.array([3, 5, 2, 1, 4]) # display the array print(ar)

Output:

[3 5 2 1 4]

Here, we used the `numpy.array()`

function to create a Numpy array of some integer values. You can see that the min value in the above array is 1.

### Step 2 – Find the min value in the array using `numpy.amin()`

Pass the array as an argument to the Numpy `amin()`

function to get its minimum value.

# min value in numpy array print(np.amin(ar))

Output:

1

We get the minimum value in the array as 1 which is the correct answer.

You can also use the Numpy `min()`

function (which is an alias for the Numpy `amin()`

function) to get the minimum value of a Numpy array.

# min value in numpy array print(np.min(ar))

Output:

1

We get the same result as above.

## Summary – Find the Min Value of Numpy Array

In this tutorial, we looked at how to find the minimum value in a Numpy array. Some of the key takeaways from this tutorial are –

- Use the
`numpy.amin()`

function to get the min value in a Numpy array. You can also use it to get the min value along a particular axis in the array. - Alternatively, you can also use the
`numpy.min()`

function which is an alias for the`numpy.amin()`

function.

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