How do I deep copy dicts in Python using pandas?

In Python, you can deep copy dictionaries using the `pandas` library by leveraging the `DataFrame` structure. Deep copying is essential when you want to create a copy of an object and ensure that all nested objects are also copied, preserving the original data from being modified.

Python, deep copy, dictionaries, pandas, DataFrame, copy, programming
This article explains how to deep copy dictionaries in Python using pandas DataFrame, ensuring integrity of the original data while manipulating the copy.
import pandas as pd # Original dictionary original_dict = { 'a': 1, 'b': {'c': 2, 'd': 3}, 'e': [4, 5, 6] } # Creating DataFrame from the dictionary df = pd.DataFrame.from_dict(original_dict, orient='index') # Deep copying the DataFrame to ensure original data remains unchanged copied_df = df.copy(deep=True) # Convert back to dictionary if needed copied_dict = copied_df.to_dict(orient='index') print("Original Dictionary:", original_dict) print("Copied Dictionary:", copied_dict)

Python deep copy dictionaries pandas DataFrame copy programming

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