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()
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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()
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我究竟做错了什么?我在python 2.7上,不能使用Python 3.