Numpy Array - Get All Values Smaller than a Given Value

The Numpy library in Python comes with a number of useful functions and methods to work with and manipulate the data in arrays. In this tutorial, we will look at how to get all the values in a Numpy array that are smaller than a given value, k with the help of some examples.

Steps to get all the values smaller than a given value in Numpy

all values in numpy array that are smaller than a given value

You can use boolean indexing to filter the Numpy array such that the resulting array contains only the elements that specify a given condition. For example, values smaller than k.

Step 1 – Create a Numpy array

First, we will create a Numpy array that we will be using throughout this tutorial.

import numpy as np

# create a numpy array
ar = np.array([1, 2, 3, 4, 5, 6, 7])
# display the array
print(ar)

Output:

[1 2 3 4 5 6 7]

Here, we used the numpy.array() function to create a one-dimensional Numpy array containing some numbers.

Step 2 – Filter the array using a boolean expression

To get all the values from a Numpy array smaller than a given value, filter the array using boolean indexing.

First, we will specify our boolean expression, ar < k and then use the boolean array resulting from this expression to filter our original array.

For example, let’s get all the values in the above array that are smaller than 5 (k = 5).

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# values in array smaller than 5
print(ar[ar < 5])

Output:

[1 2 3 4]

We get all the values in the array ar that are smaller than 5.

To understand what’s happening here, let’s look under the hood. Let’s see what we get from the expression ar < 5.

ar < 5

Output:

array([ True,  True,  True,  True, False, False, False])

We get a boolean array. The boolean values in this array represent whether a value at a particular index satisfies the given condition or not (in our case whether the element is smaller than 5 or not).

When we do ar[ar < 5], we are essentially filtering the original array where the condition evaluates to True.

You can similarly filter a Numpy array for other conditions as well.

Summary – Get all values smaller than a given value in a Numpy array

In this tutorial, we looked at how to get all the values in a Numpy array that are smaller than a given value. The following is a short summary of the steps mentioned –

Create a Numpy array (skip this step if you already have an array to operate on).
Use boolean indexing to filter the array for only the values that are smaller than the given value, ar[ar < k].

Author

Piyush Raj

Piyush is a data professional passionate about using data to understand things better and make informed decisions. He has experience working as a Data Scientist in the consulting domain and holds an engineering degree from IIT Roorkee. His hobbies include watching cricket, reading, and working on side projects.

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