# Numpy – Get Min Value in Array

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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