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Dictionary Unpacking

Python Dictionary Iteration: Advanced Tips & Tricks Liam Pulsifer 03:51

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How to Iterate Through a Dictionary in Python

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Python Dictionary Iteration

Dictionaries are one of the most important and useful data structures in Python. Learning how to iterate through a Dictionary can help you solve a wide variety of programming problems in an efficient way. Test your understanding on how you can use them better!

Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.

00:00 Okay. In this last video of the series, I’m going to go over dictionary unpacking, which is a relatively new feature of Python that really makes it easy to iterate through and construct new dictionaries from other dictionaries.

00:13 So, coming back to our fruits and veggies dictionaries, which you’ll have seen before if you’ve watched some of the videos in this series already, we’ve got just some fruits and some vegetables with their prices.

00:25 Let’s take a look at this unpacking operator, which is going to be just two asterisks (**) in front of the name of your dictionary. So, as you can see, what I’m doing is I’ve put brackets around these two unpacked dictionaries with commas between them.

00:43 And what this does is it gives us one dictionary with the items of both previous dictionaries. So this is really convenient because what it allows us to do is it allows us to really easily iterate through. We can say, for example, for key, value in this mega-dictionary .items(): and we can just print, you know, our standard key goes to value. Ta-da!

01:13 So it’s a really simple way of going through here and iterating through multiple dictionaries. You can just unpack all of them and then you can just have access to the whole thing as one big dictionary.

01:25 And I just realized that our onions are incredibly expensive compared to everything else. That’s just my mistake by not putting a period in front of this .55.

01:33 But, you know, that’s okay. Onions—they deserve that high wage. So, this is a really cool way to merge multiple dictionaries into a new one, and you’ll notice that it’s very similar to what happens with ChainMap, but this dictionary unpacking you can actually use in a variety of other ways and that’s something you’ll have to get into in other video series.

01:53 But for example, you can pass them into functions. For example, in the definition of function you might see some function, and it has something like this, like **kwargs (keyword arguments).

02:04 And so this is a really cool way of using this dictionary unpacking operator as well, because it works into the basic functions of how Python works. But that’s a subject for another video.

02:15 What we’re using this for is in a similar way to how we used the collections ChainMap feature as a way to iterate through and perform operations on multiple dictionaries. Something to note, however, is that the behavior of dictionary unpacking, as opposed to ChainMap, is actually a little different when you have two of the same keys, the same key in each dictionary. So let’s say, for example, that I put in fruits—I’m going to put in fruits, I’m going to map 'onion'. Even though I know that’s wrong because it’s not a fruit, but I’m going to say fruits['onion'] = 1, right?

02:48 And then let’s see what happens if we do {**fruits, **veggies}. What happens when we merge these two? Well, in this case, 'onion' is .55, which is different in a ChainMap.

02:59 If we do a ChainMap, from collections import ChainMap, and we say ChainMap(fruits, veggies),

03:13 and then we say that ChainMap at 'onion',

03:18 we’ll get 1 here. And so a ChainMap, the value that comes out, is the leftmost value—the value in the leftmost dictionary. But in an unpacking,

03:30 it’s actually the rightmost value which takes precedence. So that’s an important distinction to note when you’re trying to use these two. So, that’s a really cool feature of Python—this dictionary unpacking operator.

03:41 It’s a very clean way to do it and it makes a lot of sense when you write it down. So, thank you for watching this video and the whole series. I hope you enjoyed.

03:48 Have a good one.

fjavanderspek on April 19, 2020

Great course, thanks!

renatoamreis on May 3, 2020

Great course, thank you!!!

mikesult on May 6, 2020

Thanks Liam for a great tutorial on working with dictionaries. I learned a lot of new things especially using ChainMap, the itertools and dict unpacking.

Liam Pulsifer RP Team on May 6, 2020

Thank you all for your kind comments! So glad I could help you learn some new things about Python dictionaries. :)

gabrielmachac on July 30, 2020

great tutorial, thank you

Sammy-Boy on Sept. 3, 2020

Nice tutorial especially the chainMap and its applications . Thank you Liam!

Liam Pulsifer RP Team on Sept. 8, 2020

Glad you enjoyed the course @gabrielmachac and @Sammy-Boy! Best wishes as you continue on your Python-learning journey.

doglikebannock0d on Jan. 27, 2023

I appreciate your guidance. I would also like to gain a deeper understanding of the optimal usage of various data structures, such as determining when it’s best to use dictionaries, lists or tuples in certain situations.

rosmi on July 9, 2023

this was a super useful short course. Any chance it can get updated to include the ‘|’ and ‘|=’ commands from python 3.9? docs.python.org/3/whatsnew/3.9.html#dictionary-merge-update-operators

MischaelR on Jan. 27, 2024

Very good course. It covers a lot of interesting particularities of dictuonaries that are not often seen in a regular data analysis learning path.

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