A dictionary is very useful to lookup values for certain keys. If you have a pandas series with a relevant index, you can create a python dict object with the “index: value” key-value pairs to quickly fetch values referred to by its index. In this tutorial, we will look at how to convert a pandas series to a python dictionary object.

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

To get a dictionary from a series, you can use the pandas series `to_dict()`

function which returns a dictionary of “index: value” key-value pairs. The following is the syntax:

# using to_dict() d = s.to_dict()

Here, s is the pandas series you want to convert to a dictionary. The returned dictionary will have the series’ index as its keys and the series’ value as its value.

## Examples

Let’s look at some examples of using the above method to create a dictionary 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.

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### Series to dict using `to_dict()`

You can use the pandas series `to_dict()`

function to create a dictionary object from a series. Let’s use it to create a dictionary with the year as its key and the winners’ name as its value from the series “wimbledon_winners” –

winners_dict = wimbledon_winners.to_dict() # check the type print(type(winners_dict)) # print the content print(winners_dict)

Output:

<class 'dict'> {2015: 'Novak Djokovic', 2016: 'Andy Murray', 2017: 'Roger Federer', 2018: 'Novak Djokovic', 2019: 'Novak Djokovic'}

You can see that here the pandas series `to_dict()`

function returns a dictionary of the “Year: Name” key-value pairs. In our case, we can use the above dictionary to quickly fetch results to questions like “Who was the Wimbledon winner in the year 2017?”

print(winners_dict[2017])

Output:

Roger Federer

We get the name corresponding to the key 2017 from the dictionary, “Roger Federer”.

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

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

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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