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Count Frequency of Element in a Tuple in Python

Tuples are ordered collection of items in Python. When working with tuples, it can be handy to know how to quickly an element’s frequency. In this tutorial, we will look at how to count the frequency of an element inside a tuple in Python with the help of examples.

Count of an element in a tuple in python

You can use the Python tuple count() function to count the frequency of an element in a tuple. Pass the element for which you want to count the occurrences as an argument to the function. The following is the syntax.

# frequency of item i in tuple t
t.count(i)

It returns the number of times the element appears in the tuple.

Let’s look at some examples of using the above syntax.

Let’s count the number of times a specific element occurs in a tuple.

# create a tuple
t = (7, 1, 3, 7, 7, 5, 1)
# frequency of 7 in t
print(t.count(7))

Output:

3

We get its frequency as 3. This is because the element 7 occurs three times in the tuple t.

Let’s look at another example.

Let’s pass an element that is not present in the tuple as the argument to the count() function.

# create a tuple
t = (7, 1, 3, 7, 7, 5, 1)
# frequency of 7 in t
print(t.count(4))

Output:

0

We get 0 as the output. This is because the element 4 does not occur inside the tuple.

You can iterate over each distinct element in the tuple (use a set to get distinct tuple elements) and use the count() function to count its frequency in the tuple.

Let’s see an example.

# create a tuple
t = (7, 1, 3, 7, 7, 5, 1)
# distinct elements
unique_t = set(t)
# count of each element in tuple
for item in unique_t:
    print(f"Count of {item} in tuple t: {t.count(item)}")

Output:

Count of 1 in tuple t: 2
Count of 3 in tuple t: 1
Count of 5 in tuple t: 1
Count of 7 in tuple t: 3

Here we iterate through each unique element and then use the count() function to get its frequency in the tuple. We get the count of each element in the tuple as the output.

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Author

  • Piyush is a data scientist passionate about using data to understand things better and make informed decisions. In the past, he's worked as a Data Scientist for ZS and holds an engineering degree from IIT Roorkee. His hobbies include watching cricket, reading, and working on side projects.