How to import a text file on AWS S3 into pandas without writing to disk

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I have a text file saved on S3 which is a tab delimited table. I want to load it into pandas but cannot save it first because I am running on a heroku server. Here is what I have so far.

import io
import boto3
import os
import pandas as pd

os.environ["AWS_ACCESS_KEY_ID"] = "xxxxxxxx"
os.environ["AWS_SECRET_ACCESS_KEY"] = "xxxxxxxx"

s3_client = boto3.client("s3")
response = s3_client.get_object(Bucket="my_bucket",Key="filename.txt")
file = response["Body"]


pd.read_csv(file, header=14, delimiter="	", low_memory=False)

the error is

OSError: Expected file path name or file-like object, got <class "bytes"> type

How do I convert the response body into a format pandas will accept?

pd.read_csv(io.StringIO(file), header=14, delimiter="	", low_memory=False)

returns

TypeError: initial_value must be str or None, not StreamingBody

pd.read_csv(io.BytesIO(file), header=14, delimiter="	", low_memory=False)

returns

TypeError: "StreamingBody" does not support the buffer interface

UPDATE - Using the following worked

file = response["Body"].read()

and

pd.read_csv(io.BytesIO(file), header=14, delimiter="	", low_memory=False)

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Xu Porretti

Warsaw | 2023-03-24

Simply put and clear. Thank you for sharing. How to import a text file on AWS S3 into pandas without writing to disk and other issues with StackOverflow was always my weak point 😁. Will get back tomorrow with feedback

Cornwall Williams

California | 2023-03-24

Thanks for explaining! I was stuck with How to import a text file on AWS S3 into pandas without writing to disk for some hours, finally got it done 🤗. Checked yesterday, it works!

Boris Lehnman

Boston | 2023-03-24

Thanks for explaining! I was stuck with How to import a text file on AWS S3 into pandas without writing to disk for some hours, finally got it done 🤗. Will get back tomorrow with feedback

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