使用boto和pandas从aws s3读取csv文件

Question

我已经阅读了这里和这里的答案,这些都没有用.

我试图csv从S3桶中读取一个对象,并已能够使用以下代码成功读取数据.

srcFileName="gossips.csv"
def on_session_started():
  print("Starting new session.")
  conn = S3Connection()
  my_bucket = conn.get_bucket("randomdatagossip", validate=False)
  print("Bucket Identified")
  print(my_bucket)
  key = Key(my_bucket,srcFileName)
  key.open()
  print(key.read())
  conn.close()

on_session_started()

但是,如果我尝试使用pandas作为数据框读取同一个对象,我会收到错误.最常见的是S3ResponseError: 403 Forbidden

def on_session_started2():
  print("Starting Second new session.")
  conn = S3Connection()
  my_bucket = conn.get_bucket("randomdatagossip", validate=False)
  #     url = "https://s3.amazonaws.com/randomdatagossip/gossips.csv"
  #     urllib2.urlopen(url)

  for line in smart_open.smart_open('s3://my_bucket/gossips.csv'):
     print line
  #     data = pd.read_csv(url)
  #     print(data)

on_session_started2()

我究竟做错了什么？我在python 2.7上,不能使用Python 3.

Answer 1

以下是我已经做成功地读取df从csvS3上.

import pandas as pd
import boto3

bucket = "yourbucket"
file_name = "your_file.csv"

s3 = boto3.client('s3') 
# 's3' is a key word. create connection to S3 using default config and all buckets within S3

obj = s3.get_object(Bucket= bucket, Key= file_name) 
# get object and file (key) from bucket

initial_df = pd.read_csv(obj['Body']) # 'Body' is a key word

Answer 2

这对我有用.

import pandas as pd
import boto3
import io

s3_file_key = 'data/test.csv'
bucket = 'data-bucket'

s3 = boto3.client('s3')
obj = s3.get_object(Bucket=bucket, Key=s3_file_key)

initial_df = pd.read_csv(io.BytesIO(obj['Body'].read()))