Lists are very flexible to work with in python and it may happen depending upon the use-case that you’d want to work with a list instead of a series. In this tutorial, we will look at how to convert a pandas series to a list.

## How to convert a pandas series to a list?

There are a number of ways to get a list from a pandas series. You can use the `tolist()`

function associated with the pandas series or pass the series to the python built-in `list()`

function. The following is the syntax to use the above functions:

# using tolist() ls = s.tolist() # using list() ls = list(s)

Here, s is the pandas series you want to convert. Both the functions return a list with the series values.

## Examples

Let’s look at some examples of using the above methods to create a list from a series. First, we’ll create a sample pandas series which we will be using throughout this tutorial.

import pandas as pd # pandas series Wimbledon winners from 2015 to 2019 wimbledon_winners = pd.Series(index=[2015, 2016, 2017, 2018, 2019], data=['Novak Djokovic', 'Andy Murray', 'Roger Federer', 'Novak Djokovic', 'Novak Djokovic'], name='Name') # display the series print(wimbledon_winners)

Output:

2015 Novak Djokovic 2016 Andy Murray 2017 Roger Federer 2018 Novak Djokovic 2019 Novak Djokovic Name: Name, dtype: object

You can see the contents of the series object above. Let’s confirm the type of the object.

# check the type print(type(wimbledon_winners))

Output:

<class 'pandas.core.series.Series'>

We now have a pandas series containing the name of Wimbledon Winners from 2015 to 2019 with the year as its index.

**Data Science Programs By Skill Level**

**Introductory** ⭐

- Harvard University Data Science: Learn R Basics for Data Science
- Standford University Data Science: Introduction to Machine Learning
- UC Davis Data Science: Learn SQL Basics for Data Science
- IBM Data Science: Professional Certificate in Data Science
- IBM Data Analysis: Professional Certificate in Data Analytics
- Google Data Analysis: Professional Certificate in Data Analytics
- IBM Data Science: Professional Certificate in Python Data Science
- IBM Data Engineering Fundamentals: Python Basics for Data Science

**Intermediate ⭐⭐⭐**

- Harvard University Learning Python for Data Science: Introduction to Data Science with Python
- Harvard University Computer Science Courses: Using Python for Research
- IBM Python Data Science: Visualizing Data with Python
- DeepLearning.AI Data Science and Machine Learning: Deep Learning Specialization

**Advanced ⭐⭐⭐⭐⭐**

- UC San Diego Data Science: Python for Data Science
- UC San Diego Data Science: Probability and Statistics in Data Science using Python
- Google Data Analysis: Professional Certificate in Advanced Data Analytics
- MIT Statistics and Data Science: Machine Learning with Python - from Linear Models to Deep Learning
- MIT Statistics and Data Science: MicroMasters® Program in Statistics and Data Science

**🔎 Find Data Science Programs 👨💻 111,889 already enrolled**

Disclaimer: Data Science Parichay is reader supported. When you purchase a course through a link on this site, we may earn a small commission at no additional cost to you. Earned commissions help support this website and its team of writers.

### 1. Series to list using `tolist()`

First, let’s see the usage of the pandas series `tolist()`

function to get a list from a series.

ls = wimbledon_winners.tolist() # check the type print(type(ls)) # print the content print(ls)

Output:

<class 'list'> ['Novak Djokovic', 'Andy Murray', 'Roger Federer', 'Novak Djokovic', 'Novak Djokovic']

You can see the resulting list with all the series values. Note that the `tolist()`

function does not modify the series in-place rather it returns a list of the series values.

For more on the pandas series tolist() function, refer to its documentation.

### 2. Series to list using `list()`

Alternatively, you can use the python built-in `list()`

function to create a list from a pandas series. Let’s create a list from the “wimbledon_winners” series using this function.

ls = list(wimbledon_winners) # check the type print(type(ls)) # print the content print(ls)

Output:

<class 'list'> ['Novak Djokovic', 'Andy Murray', 'Roger Federer', 'Novak Djokovic', 'Novak Djokovic']

You can see that the resulting list has all the values from the series “wimbledon_winners”.

With this, we come to the end of this tutorial. The code examples and results presented in this tutorial have been implemented in a Jupyter Notebook with a python (version 3.8.3) kernel having pandas version 1.0.5

**Subscribe to our newsletter for more informative guides and tutorials. ****We do not spam and you can opt out any time.**

Tutorials on pandas series –

- Convert Pandas Series to a DataFrame
- Convert Pandas Series to a List
- Convert Pandas Series to a NumPy Array
- Convert Pandas Series to a Dictionary
- Sort a Pandas Series
- Append Two Pandas Series
- Apply a Function to a Pandas Series
- Pandas – Shift column values up or down
- Plot a Histogram of Pandas Series Values
- Create a Pie Chart of Pandas Series Values
- Plot a Bar Chart of Pandas Series Values
- Create a Boxplot from Pandas Series Values
- Create a Density Plot from Pandas Series Values