Python Unpack Tuple Into Arguments [Explained]

You can unpack a tuple into individual arguments when calling a function using the * operator. This is known as “tuple unpacking” or “argument unpacking.” Here’s how you can do it:

Suppose you have a function that takes multiple arguments, and you have a tuple that contains values you want to pass as arguments to that function. You can unpack the tuple into arguments like this:

def example_function(arg1, arg2, arg3):
    print(f"arg1: {arg1}, arg2: {arg2}, arg3: {arg3}")

# Define a tuple
my_tuple = (1, 2, 3)

# Unpack the tuple into function arguments using *
Code language: Python (python)

In this example, the *my_tuple syntax is used to unpack the elements of my_tuple and pass them as separate arguments to example_function. So, the function call is equivalent to example_function(1, 2, 3).

You can use this technique to easily pass the elements of a tuple as arguments to any function that expects a specific number of arguments.

Tuples As Function Arguments

You can use tuples as function arguments to pass multiple values to a function as a single argument. This can be useful when you want to group related data together. Here’s how you can use tuples as function arguments:

  1. Define a function that takes a tuple as an argument:
def print_person_info(person_info):
    print(f"Name: {person_info[0]}")
    print(f"Age: {person_info[1]}")
    print(f"City: {person_info[2]}")

# Call the function with a tuple as an argument
person_data = ("Alice", 30, "New York")
Code language: Python (python)

In this example, the print_person_info function takes a single argument person_info, which is a tuple containing the name, age, and city of a person.

  1. Alternatively, you can use tuple unpacking within the function definition to directly unpack the values from the tuple:
def print_person_info(name, age, city):
    print(f"Name: {name}")
    print(f"Age: {age}")
    print(f"City: {city}")

# Call the function with individual values as arguments
person_data = ("Alice", 30, "New York")
print_person_info(*person_data)Code language: Python (python)

In this version, the function print_person_info expects three separate arguments, and the *person_data syntax is used to unpack the elements of the person_data tuple and pass them as individual arguments to the function.

Both of these approaches allow you to work with tuples as function arguments in Python, and you can choose the one that suits your needs and coding style best.

Python Unpack Different Elements In Tuple Into *args

If you have a tuple containing different elements, and you want to unpack some or all of those elements into the *args parameter of a function, you can do so by using tuple unpacking combined with *args. Here’s how you can achieve this:

def my_function(*args):
    for arg in args:

my_tuple = (1, "hello", 3.14, "world")

# Unpack specific elements from the tuple into *args
my_function(*my_tuple[1:3])Code language: Python (python)

In this example, we have a tuple my_tuple containing different types of elements. We want to unpack elements at indices 1 and 2 (i.e., “hello” and 3.14) into the *args parameter of my_function. To do this, we use tuple slicing to select the elements we want to unpack, and then we pass them to the function using *. The function my_function will receive these elements as separate arguments and print them.


Code language: Python (python)

This way, you can selectively unpack specific elements from a tuple into the *args parameter of a function, allowing you to work with those elements individually within the function.

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  • Aniket Singh

    Aniket Singh holds a B.Tech in Computer Science & Engineering from Oriental University. He is a skilled programmer with a strong coding background, having hands-on experience in developing advanced projects, particularly in Python and the Django framework. Aniket has worked on various real-world industry projects and has a solid command of Python, Django, REST API, PostgreSQL, as well as proficiency in C and C++. He is eager to collaborate with experienced professionals to further enhance his skills.

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