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
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)
[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])
[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
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
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].
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