Reading a gzipped file using Pandas in Python

Question

I want to read a gzipped TSV file as a Pandas dataframe. Which function should I use for it?

Answer 1

The read_csv() function of pandas can be used to read a gzipped TSV file. You need to pass compression='gzip' as an argument to this function.

Here is an example of reading a gzipped TSV file with a header:

import pandas as pd

df = pd.read_csv("your_file.gz", sep="\t", header=0, compression="gzip")

The content of the file will be in the dataframe 'df'.