Words carry meaning and meaning is important in computer science.

If you asked the question, your words can carry either of the two meanings. In other words, there are two ways to read this question:

- How to remove an element from a list in Python?
- How to remove an element from a NumPy array in Python?

The reason is that Python doesn’t have a built-in array data type like in other programming languages such as C++ or Java.

Python has lists. Lists are similar to array in that accessing or removing the i-th element in a Python list has constant runtime complexity.

Okay, let’s get rid of the nerd talk and solve the problem (1.) first:

## How to remove an element from a list in Python?

Lists are ordered data structures so they store elements in a given order.

You can call the method `list.pop(index)`

to remove the element at position `index`

. If you don’t provide an index by calling `list.pop()`

, Python simply removes the last element.

Here’s an example:

my_list = ["Alice", "Bob", "Carl"] my_list.pop(1) print(my_list) # ['Alice', 'Carl']

The code snippet creates a list of three string elements and removes the second element via `list.pop(1)`

.

🛑 **Note**: Python has zero-based indexing, i.e., the index of the first element is 0, and the index of the `i`

-th element is `(i-1)`

. This is a common source of bugs!

In case you need more ways to remove an element from a list, you can check out our detailed guide here:

Feel free to also watch our video tutorial here:

Okay, so let’s explore the second way to interpret your question:

*How to Remove an Element from an Array in Python?*

If you want an array, chances are you’re seeking a NumPy array.

## How to remove an element from a NumPy array?

NumPy is Python’s defacto standard library for numerical computations.

A NumPy array can have one or more dimensions.

- If it has
**one**dimension, we may call it a.*vector* - If it has
**two**dimensions, we may call it a.**matrix** - If it has
dimensions, we may call it an**n**.*n-dimensional matrix*

In this article, we’re going to explore the one-dimensional case:

**How to remove an element from a one-dimensional NumPy array?**

To remove an element at a given `index`

from a 1D NumPy `array`

, call the function `np.delete(array, index)`

that returns a new array with the element removed.

Formally, the method has the following syntax:

numpy.delete(arr, index_or_object, axis=None)

Here’s a simple example that removes the second, fourth, and sixth elements (with indices `[1, 3, 5]`

) from the original NumPy array:

import numpy as np # Original NumPy array a = np.array([10, 20, 30, 40, 50, 60, 70]) # Indices to be removed index = [1, 3, 5] # New array generated result = np.delete(a, index) # Output print(result) # [10 30 50 70]

The resulting array has the specified indices removed.

⭐ **Note**: If you only want to remove a single element from a given index, pass only a single integer as index.

Here’s an example:

import numpy as np # Original NumPy array a = np.array([10, 20, 30, 40, 50, 60, 70]) # Indices to be removed index = 3 # New array generated result = np.delete(a, index) # Output print(result) # [10 20 30 50 60 70]

The result shows that only the fourth element with index `3`

has been removed.

I just found this related video you may enjoy:

Okay, let’s wrap this up!

## Summary

To summarize, there are two ways to answer your question:

- To remove the element at position
`index`

, call the method`list.pop(index)`

. - To remove an
`element`

from a 1D NumPy`array`

, call the function`np.delete(array, element)`

that returns a new array with the element at the specified index removed.

Thanks for spending your valuable time with us. Feel free to join our email academy to keep improving your Python skills day by day:

While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.

To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.

His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.