A tuple is used for grouping data. It is an immutable, or unchangeable, ordered sequence of elements.
Tuples are very similar to lists, but they use parentheses ( ) instead of square brackets and because they are immutable their values cannot be modified.
A tuple looks like this:
('blue coral', 'staghorn coral', 'pillar coral')
We can store a tuple in a variable and print it out:
coral = ('blue coral', 'staghorn coral', 'pillar coral') print(coral)
Like in the other data types, Python prints out the tuple just as we had typed it, with parentheses containing a sequence of values.
A tuple in Python looks like this:
coral = ('blue coral', 'staghorn coral', 'pillar coral', 'elkhorn coral')
A tuple is a data structure that is an immutable, or unchangeable, ordered sequence of elements. Because tuples are immutable, their values cannot be modified.
Tuples are used for grouping data. Each element or value that is inside of a tuple is called an item.
Tuples have values between parentheses ( ) separated by commas ,. Empty tuples will appear as coral = (), but tuples with even one value must use a comma as in coral = ('blue coral',).
If we print() the tuple above, we’ll receive the following output, with the tuple still typed by parentheses:
When thinking about Python tuples and other data structures that are types of collections, it is useful to consider all the different collections you have on your computer: your assortment of files, your song playlists, your browser bookmarks, your emails, the collection of videos you can access on a streaming service, and more.
Tuples are similar to lists, but their values can’t be modified. Because of this, when you use tuples in your code, you are conveying to others that you don’t intend for there to be changes to that sequence of values. Additionally, because the values do not change, your code can be optimized through the use of tuples in Python, as the code will be slightly faster for tuples than for lists.
As an ordered sequence of elements, each item in a tuple can be called individually, through indexing.
Each item corresponds to an index number, which is an integer value, starting with the index number 0.
For the coral tuple, the index breakdown looks like this:
The first item, the string 'blue coral' starts at index 0, and the list ends at index 3 with the item 'elkhorn coral'.
Because each item in a Python tuple has a corresponding index number, we’re able to access items.
Now we can call a discrete item of the tuple by referring to its index number:
The index numbers for this tuple range from 0-3, as shown in the table above. So to call any of the items individually, we would refer to the index numbers like this:
coral = 'blue coral' coral = 'staghorn coral' coral = 'pillar coral' coral = 'elkhorn coral'
If we call the tuple coral with an index number of any that is greater than 3, it will be out of range as it will not be valid:
In addition to positive index numbers, we can also access items from the tuple with a negative index number, by counting backwards from the end of the tuple, starting at -1. This is especially useful if we have a long tuple and we want to pinpoint an item towards the end of a tuple.
For the same tuple coral, the negative index breakdown looks like this:
So, if we would like to print out the item 'blue coral' by using its negative index number, we can do so like this:
We can concatenate string items in a tuple with other strings using the + operator:
print('This reef is made up of ' + coral)
We were able to concatenate the string item at index number 0 with the string 'This reef is made up of '. We can also use the + operator to concatenate 2 or more tuples together.
With index numbers that correspond to items within a tuple, we’re able to access each item of a tuple discretely.
We can use indexing to call out a few items from the tuple. Slices allow us to call multiple values by creating a range of index numbers separated by a colon [x:y].
Let’s say we would like to just print the middle items of coral, we can do so by creating a slice.
When creating a slice, as in [1:3], the first index number is where the slice starts (inclusive), and the second index number is where the slice ends (exclusive), which is why in our example above the items at position, 1 and 2 are the items that print out.
If we want to include either end of the list, we can omit one of the numbers in the tuple[x:y] syntax. For example, if we want to print the first 3 items of the tuple coral — which would be 'blue coral', 'staghorn coral', 'pillar coral' — we can do so by typing:
This printed the beginning of the tuple, stopping right before index 3.
To include all the items at the end of a tuple, we would reverse the syntax:
We can also use negative index numbers when slicing tuples, just like with positive index numbers:
One last parameter that we can use with slicing is called stride, which refers to how many items to move forward after the first item is retrieved from the tuple.
So far, we have omitted the stride parameter, and Python defaults to the stride of 1, so that every item between two index numbers is retrieved.
The syntax for this construction is tuple[x:y:z], with z referring to stride. Let’s make a larger list, then slice it, and give the stride a value of 2:
numbers = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12) print(numbers[1:11:2])
Our construction numbers[1:11:2] prints the values between index numbers inclusive of 1 and exclusive of 11, then the stride value of 2 tells the program to print out only every other item.
We can omit the first two parameters and use stride alone as a parameter with the syntax tuple[::z]:
By printing out the tuple numbers with the stride set to 3, only every third item is printed:
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Slicing tuples with both positive and negative index numbers and indicating stride provides us with the control to receive the output we’re trying to achieve.
Operators can be used to concatenate or multiply tuples. Concatenation is done with the + operator, and multiplication is done with the * operator.
The + operator can be used to concatenate two or more tuples together. We can assign the values of two existing tuples to a new tuple:
coral = ('blue coral', 'staghorn coral', 'pillar coral', 'elkhorn coral') kelp = ('wakame', 'alaria', 'deep-sea tangle', 'macrocystis') coral_kelp = (coral + kelp) print(coral_kelp)
Because the + operator can concatenate, it can be used to combine tuples to form a new tuple, though it cannot modify an existing tuple.
The * operator can be used to multiply tuples. Perhaps you need to make copies of all the files in a directory onto a server or share a playlist with friends — in these cases you would need to multiply collections of data.
Let’s multiply the coral tuple by 2 and the kelp tuple by 3, and assign those to new tuples:
multiplied_coral = coral * 2 multiplied_kelp = kelp * 3 print(multiplied_coral) print(multiplied_kelp)
By using the * operator we can replicate our tuples by the number of times we specify, creating new tuples based on the original data sequence.
Existing tuples can be concatenated or multiplied to form new tuples through using the + and * operators.
Like with strings and lists, we can calculate the length of a tuple by using len(), where we pass the tuple as a parameter, as in:
This function is useful for when you need to enforce minimum or maximum collection lengths, for example, or to compare sequenced data.
If we print out the length for our tuples kelp and numbers, we’ll receive the following output:
We receive the above output because the tuple kelp has 4 items:
kelp = ('wakame', 'alaria', 'deep-sea tangle', 'macrocystis')
And the tuple numbers has 13 items:
numbers = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
Although these examples have relatively few items, the len() function provides us with the opportunity to see how many items are in large tuples.
When we work with tuples composed of numeric items, (including integers and floats) we can use the max() and min() functions to find the highest and lowest values contained in the respective tuple.
These functions allow us to find out information about quantitative data, such as test scores, temperatures, prices, etc.
Let’s look at a tuple comprised of floats:
more_numbers = (11.13, 34.87, 95.59, 82.49, 42.73, 11.12, 95.57)
To get the max(), we would pass the tuple into the function, as in max(more_numbers). We’ll combine this with the print() function so that we can output our results:
The max() function returned the highest value in our tuple.
Similarly, we can use the min() function:
Here, the smallest float was found in the tuple and printed out.
Just like with the len() function, the max() and min() functions can be very useful when working with tuples that contain many values.
The primary way in which tuples are different from lists is that they cannot be modified. This means that items cannot be added to or removed from tuples, and items cannot be replaced within tuples.
You can, however, concatenate 2 or more tuples to form a new tuple.
Let’s consider our coral tuple:
coral = ('blue coral', 'staghorn coral', 'pillar coral', 'elkhorn coral')
Say we want to replace the item 'blue coral' with a different item called 'black coral'. If we try to change that output the same way we do with a list, by typing:
coral = 'black coral'
We will receive an error as our output:
TypeError: 'tuple' object does not support item assignment
This is because tuples cannot be modified.
If we create a tuple and decide what we really need is a list, we can convert it to a list. To convert a tuple to a list, we can do so with list():
And now, our coral data type will be a list:
coral = ['blue coral', 'staghorn coral', 'pillar coral']
We can see that the tuple was converted to a list because the parentheses changed to square brackets.
Likewise, we can convert lists to tuples with tuple().
Write a program to create a tuple with numbers and print one item.
Write a program to reverse a tuple.
Write a program to check whether a user entered element exists within a tuple.
Thanks [name] from [whichclass][location], Mr McG will get your message…"
[message]"…and will get back to you ASAP via [email]. Catch you soon.
Have a great day!!
K McGuinness - 2018
No personal data will be shared with any third party. The only data processed via this website is anonymous browsing data to best manage your user experience.