In Python, tuples are immutable, which means they cannot be changed after they are created. As such, deep copying a tuple doesn't involve copying mutable objects, as it would for lists or dictionaries. However, if a tuple contains mutable objects (like lists), you can make a deep copy of the entire structure using the `copy` module from Python's standard library. While pandas is primarily used for data manipulation and analysis, you can use its capabilities to work with tuples that contain mutable objects. Below is an example of how to achieve this.
import copy
# Original tuple containing a list
original_tuple = (1, 2, [3, 4])
# Deep copying the tuple
deep_copied_tuple = copy.deepcopy(original_tuple)
# Modifying the mutable element in the deep copied tuple
deep_copied_tuple[2][0] = 99
print("Original Tuple:", original_tuple) # Outputs: Original Tuple: (1, 2, [3, 4])
print("Deep Copied Tuple:", deep_copied_tuple) # Outputs: Deep Copied Tuple: (1, 2, [99, 4])
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