amazon web services - 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 = pd.read_csv('s3:/example_bucket.s3-website-ap-southeast-2.amazonaws.com/data_1.csv')

In order to give complete access I have set the bucket policy on the S3 bucket as follows:

{
"Version": "2012-10-17",
"Id": "statement1",
"Statement": [
    {
        "Sid": "statement1",
        "Effect": "Allow",
        "Principal": "*",
        "Action": "s3:*",
        "Resource": "arn:aws:s3:::example_bucket"
    }
]

}

Unfortunately I still get the following error in python:

boto.exception.S3ResponseError: S3ResponseError: 405 Method Not Allowed

Wondering if someone could help explain how to either correctly set the permissions in AWS S3 or configure pandas correctly to import the file. Thanks!

Answer 1

Using pandas 0.20.3

import os
import boto3
import pandas as pd
import sys

if sys.version_info[0] < 3: 
    from StringIO import StringIO # Python 2.x
else:
    from io import StringIO # Python 3.x

# get your credentials from environment variables
aws_id = os.environ['AWS_ID']
aws_secret = os.environ['AWS_SECRET']

client = boto3.client('s3', aws_access_key_id=aws_id,
        aws_secret_access_key=aws_secret)

bucket_name = 'my_bucket'

object_key = 'my_file.csv'
csv_obj = client.get_object(Bucket=bucket_name, Key=object_key)
body = csv_obj['Body']
csv_string = body.read().decode('utf-8')

df = pd.read_csv(StringIO(csv_string))