5 Best Ways to Use Multiple Identical Positional Arguments in Python

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πŸ’‘ Problem Formulation: Sometimes in Python, it’s necessary to deal with functions that can take one or more arguments with the same value. For instance, you may want a function that can be called with any number of positional arguments that are all equal to 42, like func(42, 42, 42). Our goal is to explore different methods to handle such scenarios effectively and efficiently within Python code.

Method 1: Using *args to Collect Arguments

This method involves defining a function that accepts an arbitrary number of positional arguments, which are then collected into a tuple. The function can iterate over this tuple to handle the arguments as needed.

Here’s an example:

def echo_args(*args):
    for arg in args:
        if arg != args[0]:
            return False
    return True

result = echo_args(42, 42, 42)

Output: True

This function collects all positional arguments into a tuple and checks whether all elements in the tuple are identical to the first element. The echo_args function will return True if all arguments are the same.

Method 2: Using Function Default Parameters

Default parameters allow functions to have a predefined value. This can simplify handling cases where the same value is expected for multiple arguments, as the user can omit arguments that should take the default value.

Here’s an example:

def create_point(x=0, y=0, z=0):
    return x, y, z

point = create_point(1, 1)

Output: (1, 1, 0)

By setting default parameters, the create_point function creates a point coordinate with default values of 0. In the example, since only two arguments are specified, z is set to its default value, which in this case is the same as the x and y.

Method 3: Using Argument Unpacking

Argument unpacking uses the * operator with a sequence, which allows for passing a sequence of values to a function as individual arguments.

Here’s an example:

def sum_values(x, y, z):
    return x + y + z

args = (1, 1, 1)
total = sum_values(*args)

Output: 3

The sum_values function expects three individual arguments. By using argument unpacking with a tuple args containing identical values, this approach conveniently passes identical positional arguments to the function.

Method 4: Using a Wrapper Function

A wrapper function can be used to create a new function that always calls the underlying function with certain fixed values for some or all of its arguments.

Here’s an example:

def multiply(a, b):
    return a * b

def double_arg(val):
    return multiply(val, val)

result = double_arg(10)

Output: 100

In the example above, double_arg is a wrapper function that takes a single value and passes it twice as the parameters to the multiply function, thus always using the same value for both positional arguments.

Bonus One-Liner Method 5: Using a Lambda Function

A lambda function is a small anonymous function that can take any number of arguments but can only have one expression. It’s handy for creating small throwaway functions on the fly.

Here’s an example:

repeat_arg = lambda val, func: func(val, val)

result = repeat_arg(5, lambda x, y: x + y)

Output: 10

The lambda function repeat_arg takes a value and a function, then applies the value as both positional arguments to the function. This single line of code demonstrates both the flexibility and the power of lambda functions in Python.


  • Method 1: Using *args to Collect Arguments. Strengths: Flexible with any number of arguments. Weaknesses: Extra logic needed to compare values.
  • Method 2: Using Function Default Parameters. Strengths: Simplifies function calls. Weaknesses: Limited to a predefined set of arguments.
  • Method 3: Using Argument Unpacking. Strengths: Convenient when the same values are already grouped in a sequence. Weaknesses: Need to manage the external sequence.
  • Method 4: Using a Wrapper Function. Strengths: Improves code readability and usability. Weaknesses: Additional function definition overhead.
  • Bonus Method 5: Using a Lambda Function. Strengths: Concise syntax for simple cases. Weaknesses: Limited to one-liners; can reduce readability.