How can I use libraries for data flattening in Python?

How can I use libraries for data flattening in Python?

You can use libraries like Pandas and NumPy for data flattening. Pandas provides functions to manipulate and reshape data easily.

Can you give me an example of flattening a nested JSON object?

Sure! You can use json_normalize from Pandas to flatten a nested JSON. Here's a quick example:

import pandas as pd

nested_json = [{'id': 1, 'info': {'name': 'Alice', 'age': 30}}, {'id': 2, 'info': {'name': 'Bob', 'age': 25}}]

flattened_df = pd.json_normalize(nested_json)
print(flattened_df)

What if I have a large dataset? Will it still work?

Yes, Pandas is optimized for performance and can handle large datasets efficiently. Just ensure you have enough memory available.

Are there any other libraries I should consider?

Besides Pandas, you might also look into Dask for larger-than-memory datasets or PySpark for distributed data processing.