Save Pandas DataFrame as .csv.gz in Amazon S3

Note that I was a little addicted when trying to gzip the Pandas DataFrame and save it as a CSV file in an Amazon S3 bucket.

import gzip
from io import BytesIO
import pandas as pd
import boto3

def save_to_s3(df: pd.DataFrame, bucket: str, key: str):
    """Pandas DataFrame.csv.Save to Amazon S3 as gz"""
    buf = BytesIO()
    with gzip.open(buf, mode="wt") as f:
        df.to_csv(f)
    s3 = boto3.client("s3")
    s3.put_object(Bucket=bucket, Key=key, Body=buf.getvalue())

The points are as follows.

--Enter BytesIO () because the first argument of gzip.open is a file-like object that represents the gzip format. --Since the output of pandas.DataFrame.to_csv is a string, mode of gzip.open specifies" write text ( wt) ".

At first I thought that if I specified compression =" gzip " in pandas.DataFrame.to_csv, it would not be necessary to compress it explicitly, but if I entered a file-like object in to_csv, it would be . The compression option seems to be ignored and couldn't be used.