Cskvdhdgzip -

import gzip import shutil # Compress with open('data.csv', 'rb') as f_in: with gzip.open('data.csv.gz', 'wb') as f_out: shutil.copyfileobj(f_in, f_out) # Decompress with gzip.open('data.csv.gz', 'rb') as f_in: with open('data_restored.csv', 'wb') as f_out: shutil.copyfileobj(f_in, f_out) Use code with caution. Copied to clipboard Working with Pandas

import pandas as pd # Write DataFrame to Gzip CSV df.to_csv("data.csv.gz", index=False, compression="gzip") # Read Gzip CSV df = pd.read_csv("data.csv.gz", compression="gzip") Use code with caution. Copied to clipboard Gzip vs. Other Formats How Gzip Compression Works cskvdhdgzip

The algorithm scans data to find repeating patterns. Instead of storing the repeated data twice, it replaces subsequent occurrences with a pointer (a pair of numbers: distance and length) to the initial occurrence. import gzip import shutil # Compress with open('data

Pandas can directly read and write compressed files, making it convenient for large datasets. Other Formats How Gzip Compression Works The algorithm

This combination results in a file with a .gz extension, which is often significantly smaller than the original, especially for CSVs, logs, or JSON files. Advantages and Limitations