How to manipulate a 20G CSV file efficiently with Python?

 .

Import the Required Libraries: Start by importing the necessary libraries, such as csv and pandas. These libraries provide efficient tools for working with CSV files.

import csv

import pandas as pd

Read the CSV File in Chunks: Instead of loading the entire file into memory, read the CSV file in smaller chunks using the pandas library's read_csv function. This approach allows you to process the data in manageable portions.

chunk_size = 10_000  # Adjust the chunk size as per your requirements

csv_file_path = 'path_to_your_file.csv'

# Read the CSV file in chunks

chunks = pd.read_csv(csv_file_path, chunksize=chunk_size)

Process the Data: Iterate over the chunks and perform the desired operations on each chunk. You can manipulate, filter, transform, or analyze the data as needed. Here's an example of how to iterate over the chunks and print the data:

for chunk in chunks:

    # Perform your operations on each chunk

    print(chunk)