Why Immutable Objects Behave Differently as Function Parameters in Python

1. What Is an Immutable Object?

Common immutable objects in Python include

int

,

float

,

bool

,

str

,

tuple

, and

frozenset

. Once created, these objects cannot be modified.

2. Behavior of Immutable Objects as Function Parameters

When an immutable object is passed to a function, any “modification” inside the function does not affect the external variable because the function works with a copy of the original value (actually rebinding the name to a new object).

Example 1: Integer as Parameter

def change_number(x):
    print("函数内修改前 x:", x, id(x))
    x += 10
    print("函数内修改后 x:", x, id(x))

a = 5
print("调用前 a:", a, id(a))
change_number(a)
print("调用后 a:", a, id(a))

Output shows that the external variable

a

remains unchanged while the function creates a new integer object for

x

.

Example 2: String as Parameter

def modify_string(s):
    s += " World"
    print("函数内的 s:", s)

text = "Hello"
modify_string(text)
print("函数外的 text:", text)

The string is immutable; the concatenation creates a new string inside the function, leaving the original

text

unchanged.

Example 3: Tuple as Parameter (Container but Immutable)

def modify_tuple(t):
    # t[0] = 99   # ❌ Error! Cannot modify tuple elements
    t = (99, 100)  # Reassigning a new tuple to the local variable
    print("函数内的 t:", t)

tpl = (1, 2, 3)
modify_tuple(tpl)
print("函数外的 tpl:", tpl)

The tuple itself cannot be altered; reassigning

t

only changes the local reference, leaving the original

tpl

unchanged.

3. Summary of Characteristics

Immutable objects passed as arguments are safe from unintended external modifications, making functions more predictable and reducing side effects.

4. Comparison: Mutable vs Immutable Objects

5. Practical Recommendations

Function design guidelines:

If you do not want a function to modify external variables, use immutable objects as parameters.

If you need to modify external data structures, use mutable objects such as lists or dictionaries.

Avoid side effects: using immutable objects can enhance code safety.