Load S3 Data into AWS SageMaker Notebook

Question

I\'ve just started to experiment with AWS SageMaker and would like to load data from an S3 bucket into a pandas dataframe in my SageMaker python jupyter notebook for analysi

Answer 1

This code sample to import csv file from S3, tested at SageMaker notebook.

Use pip or conda to install s3fs. !pip install s3fs

import pandas as pd

my_bucket = '' #declare bucket name
my_file = 'aa/bb.csv' #declare file path

import boto3 # AWS Python SDK
from sagemaker import get_execution_role
role = get_execution_role()

data_location = 's3://{}/{}'.format(my_bucket,my_file)
data=pd.read_csv(data_location)
data.head(2)