Question

我有一个文件，该文件已生成并存储在AWS的S3存储桶中。我想用excel作为电子邮件发送附件来将此S3文件作为excel发送，如何使用python。

我成功发送了没有附件的电子邮件。

我的代码

import os
import boto3
import pandas as pd
from sagemaker import get_execution_role
role = get_execution_role()
bucket='cotydata'

data_key = 'modeloutput'+'.csv'
data_location = 's3://{}/{}'.format(bucket, data_key)
output_key='UI_'+input_date
output_bucket='model-output-ui'
# Insert weather api key here 
api_key= 'key'
#read modeloutput and prepare dataframe
modeloutput = pd.read_csv(data_location)
df = modeloutput.to_excel("Outpout.xls")

# import necessary packages
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import smtplib

# create message object instance
msg = MIMEMultipart()
password = "password"
msg['From'] = "riskradar@gmail.com"
msg['To'] = "abc@gmail.com"
msg['Subject'] = "Messgae"
filename = df
f = file(filename)
attachment = MIMEText(f.read(),'xls')
msg.attach(attachment)
# attach image to message body


server = smtplib.SMTP('smtp.gmail.com:587')

server.starttls()

# Login Credentials for sending the mail
server.login(msg['From'], password)

server.sendmail(msg['From'], msg['To'], msg.as_string())

感谢您的帮助

Answer 1

无需从xls文件中生成熊猫数据框。

msg = MIMEMultipart('mixed')    

fp = open(data_location, 'rb')
record = MIMEBase('application', 'octet-stream')
record.set_payload(fp.read())
encode_base64(record)
record.add_header('Content-Disposition', 'attachment',
                          filename="what_ever_header_you_want.xls")
msg.attach(record)

剩下的就是你写的。那应该可以解决问题。

如果您希望将数据帧作为excel文件发送，则可以使用to_excel（）方法并将文件的绝对路径传递到上面的代码块。

如何在电子邮件中将数据框作为Excel附加并从python发送该附件？

1 个答案: