python下载outlook附件中excel并解析excel_Pythonoutlook过获取邮件资源-CSDN文库

共33个文件

py：16个

txt：4个

pyc：2个

需积分: 5 94 浏览量 2024-01-02 09:12:40 上传评论收藏 304.36MB ZIP 举报

在IT行业中，Python是一种广泛应用的编程语言，以其简洁明了的语法和强大的库支持而闻名。在本场景中，我们关注的是如何利用Python来下载Outlook邮件中的Excel附件，并对这些附件进行解析。这个任务涉及到两个主要的知识点：Python与Outlook的交互以及Excel文件的处理。我们需要使用Python的`imaplib`库来连接到Outlook邮箱，并通过IMAP（Internet Message Access Protocol）协议下载邮件。IMAP允许我们在不下载整个邮件的情况下获取邮件信息，包括附件。`email`库则用于解析邮件内容。以下是一个简单的流程： 1. 导入必要的库： ```python import imaplib import email from email.header import decode_header ``` 2. 连接Outlook邮箱： ```python outlook = imaplib.IMAP4_SSL('outlook.office365.com') outlook.login('your_email', 'your_password') outlook.select('inbox') # 选择收件箱 ``` 3. 搜索含有Excel附件的邮件： ```python search_key = '(UNSEEN)' # 只查找未读邮件 result, data = outlook.search(None, search_key) mail_ids = data[0].split() # 获取邮件ID列表 ``` 4. 下载并解析附件： ```python for mail_id in mail_ids: result, message_parts = outlook.fetch(mail_id, '(RFC822)') msg = email.message_from_bytes(message_parts[0][1]) for part in msg.walk(): if part.get_content_type() == 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet': filename = part.get_filename() file_data = part.get_payload(decode=True) with open(filename, 'wb') as f: f.write(file_data) ``` 接下来，我们需要解析下载的Excel文件。Python提供了多种处理Excel文件的库，如`pandas`、`openpyxl`和`xlrd/xlwt`。这里我们使用`pandas`，因为它非常方便且功能强大： 1. 导入`pandas`库： ```python import pandas as pd ``` 2. 读取并解析Excel文件： ```python df = pd.read_excel('transport-data20231204.xlsx') # 假设这是下载的Excel文件名 ``` 3. 分析和操作数据： `pandas`库提供了一系列的数据操作方法，如筛选、排序、统计分析等。例如，我们可以查看数据的前几行： ```python print(df.head()) ``` 还可以进行更复杂的数据处理，如数据清洗、聚合、合并等。对于特定的数据分析需求，`pandas`提供了丰富的API供开发者使用。这个任务涉及的主要技术包括使用Python的`imaplib`和`email`库来处理Outlook邮件，以及使用`pandas`库来解析和操作Excel数据。通过这些技术，我们可以自动化地下载Outlook中的Excel附件并进行数据分析，这对于日常的数据处理工作非常有帮助。

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transport-data20231204.zip （33个子文件）

transport-data20231204

text.json 23KB

sql

创建表.txt 4KB

sql.sql 2KB

lot_wip_sql.txt 575B

postgres

postgressql绿色安装SOP.docx 107KB

postgresql-12.17-1-windows-x64-binaries.zip 309.18MB

util.py 9KB

lot_ship_history.py 2KB

ttttttt.py 4KB

execute_sql.py 5KB

STIC_QTime_Hist.py 2KB

lot_run_que_hold.py 2KB

.idea

workspace.xml 5KB

lot_wip_history_scheduler.py 543B

eqp.py 2KB

foup_list.py 2KB

lot_wip_history.py 2KB

logs

eqp

2023-12-22.log 1.45MB

holdlot_and_wip_report.py 4KB

__pycache__

util.cpython-311.pyc 13KB

execute_sql.cpython-311.pyc 5KB

test.py 2KB

lot_ship_history_scheduler.py 463B

single_attachment_main.py 4KB

Qtime_Loop_WIP.py 2KB

config

dictionary.ini 1KB

application.json 214B

json解析

lot_info_json.py 2KB

finereport

Finedb连接.PNG 40KB

Finedb连接.txt 131B

postgresql绿色安装.txt 890B

finedb字段修改.cpt 6KB

postgresql-42.6.0.jar 1.03MB

create extension "uuid-ossp"; select * from pg_available_extensions; select current_database(); CREATE TABLE IF NOT EXISTS mes_prod_user.t_transaction_info ( id character varying COLLATE pg_catalog."default" NOT NULL DEFAULT uuid_generate_v4(), lot_name character varying(40) COLLATE pg_catalog."default" NOT NULL, step_number character varying(200) COLLATE pg_catalog."default", product character varying(200) COLLATE pg_catalog."default" NOT NULL, component_qty integer, priority character varying(40) COLLATE pg_catalog."default", activity character varying(200) COLLATE pg_catalog."default", carrier character varying(200) COLLATE pg_catalog."default", process_location character varying(40) COLLATE pg_catalog."default", flow_name character varying(200) COLLATE pg_catalog."default" NOT NULL, lot_type character varying(40) COLLATE pg_catalog."default", owner character varying(200) COLLATE pg_catalog."default", transfer_date timestamp without time zone, created_time timestamp without time zone NOT NULL DEFAULT now(), execute_his_id character varying(200) COLLATE pg_catalog."default", CONSTRAINT info_pkey PRIMARY KEY (id) ); CREATE TABLE IF NOT EXISTS mes_prod_user.t_transaction_history ( id character varying COLLATE pg_catalog."default" NOT NULL DEFAULT uuid_generate_v4(), lot_name character varying(40) COLLATE pg_catalog."default" NOT NULL, activity character varying(200) COLLATE pg_catalog."default", txn_comment character varying(400) COLLATE pg_catalog."default", stage_name character varying(40) COLLATE pg_catalog."default", step_name character varying(40) COLLATE pg_catalog."default", step_number character varying(200) COLLATE pg_catalog."default", action_user character varying(40) COLLATE pg_catalog."default", action_date timestamp without time zone, phy_recipe_name character varying(200) COLLATE pg_catalog."default", eqp_name character varying(400) COLLATE pg_catalog."default", step_desc character varying(400) COLLATE pg_catalog."default", created_time timestamp without time zone NOT NULL DEFAULT now(), info_id character varying(200) COLLATE pg_catalog."default" ); CREATE TABLE IF NOT EXISTS mes_prod_user.t_lot_wip_history ( id character varying(100) COLLATE pg_catalog."default" NOT NULL, lot_name character varying(40) COLLATE pg_catalog."default", activity character varying(40) COLLATE pg_catalog."default" NOT NULL, carrier_name character varying(40) COLLATE pg_catalog."default", step_number character varying(200) COLLATE pg_catalog."default", step_name character varying(40) COLLATE pg_catalog."default", step_desc character varying(1000) COLLATE pg_catalog."default", txn_comment character varying(2000) COLLATE pg_catalog."default", priority character varying(100) COLLATE pg_catalog."default", stage_name character varying(40) COLLATE pg_catalog."default", eqp_name character varying(80) COLLATE pg_catalog."default", recipe_name character varying(160) COLLATE pg_catalog."default", last_updated_time timestamp without time zone NOT NULL, created_by_name character varying(80) COLLATE pg_catalog."default", insert_time timestamp without time zone NOT NULL DEFAULT now(), CONSTRAINT t_lot_wip_history_pkey PRIMARY KEY (id) ); CREATE TABLE IF NOT EXISTS mes_prod_user.t_execute_history ( id character varying COLLATE pg_catalog."default" NOT NULL DEFAULT uuid_generate_v4(), last_execute_date character varying(200) COLLATE pg_catalog."default" NOT NULL, mail_name character varying(400) COLLATE pg_catalog."default" NOT NULL, created_time timestamp without time zone NOT NULL DEFAULT now(), type integer, remark character varying(200) COLLATE pg_catalog."default", CONSTRAINT execute_pkey PRIMARY KEY (id) );

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