How to read a csv file from an s3 bucket using Pandas in Python

Question

I am trying to read a CSV file located in an AWS S3 bucket into memory as a pandas dataframe using the following code:

import pandas as pd
import boto

data          


        

Answer 1

You don't need pandas.. you can just use the default csv library of python

def read_file(bucket_name,region, remote_file_name, aws_access_key_id, aws_secret_access_key):
    # reads a csv from AWS

    # first you stablish connection with your passwords and region id

    conn = boto.s3.connect_to_region(
        region,
        aws_access_key_id=aws_access_key_id,
        aws_secret_access_key=aws_secret_access_key)

    # next you obtain the key of the csv you want to read
    # you will need the bucket name and the csv file name

    bucket = conn.get_bucket(bucket_name, validate=False)
    key = Key(bucket)
    key.key = remote_file_name
    data = key.get_contents_as_string()
    key.close()

    # you store it into a string, therefore you will need to split it
    # usually the split characters are '\r\n' if not just read the file normally 
    # and find out what they are 

    reader = csv.reader(data.split('\r\n'))
    data = []
    header = next(reader)
    for row in reader:
        data.append(row)

    return data

hope it solved your problem, good luck! :)