How do you process data in chunks with pandas? (AI)

Question 1

Why process data in chunks with pandas?

Answer 1

Processing data in chunks is used when a dataset is too large to fit entirely into your computer’s available memory (RAM) at once.

Instead of loading the whole file, you read a manageable portion (a chunk) into memory, process it, potentially aggregate results, and then move on to the next chunk.

Question 2

How do you initiate chunked reading using a pandas read_* function?

Answer 2

You pass the chunksize parameter to the read_* function (e.g., read_csv, read_json). This function then returns an iterator object rather than a single DataFrame.

Example: To read a CSV file 10,000 rows at a time:

import pandas as pd
chunk_iterator = pd.read_csv('large_data.csv', chunksize=10000)