我已经通过解决方案从Gmail邮箱中选定的已接收电子邮件中提取有用信息。
此示例的目的是获取从提供石油月度价格的简报发送的所有邮件。您可以在EIA网站上自由订阅此类时事通讯。所有这些时事通讯都会在我的Gmail邮箱中的相同文件夹中找到,并以“$”开头。
电子邮件的内容就是那样
我的目标是编写一个脚本来获取最后10封这样的电子邮件(过去10个月),并根据时间绘制不同美国地区的石油价格。
答案 0 :(得分:20)
Python email
库会有所帮助。
import email, getpass, imaplib, os, re
import matplotlib.pyplot as plt
此目录是您保存附件的地方
detach_dir = "F:\OTHERS\CS\PYTHONPROJECTS"
然后,您的脚本会向用户(或您自己)询问帐户功能
user = raw_input("Enter your GMail username --> ")
pwd = getpass.getpass("Enter your password --> ")
然后连接到gmail imap服务器并登录
m = imaplib.IMAP4_SSL("imap.gmail.com")
m.login(user, pwd)
选择一个文件夹,您可以使用整个INBOX
m.select("BUSINESS/PETROLEUM")
应该使用m.list()
来获取所有邮箱。搜索来自指定发件人和的所有电子邮件
选择邮件ID:
resp, items = m.search(None, '(FROM "EIA_eLists@eia.gov")')
items = items[0].split()
my_msg = [] # store relevant msgs here in please
msg_cnt = 0
break_ = False
我想要最后的电子邮件,以便我使用items[::-1]
for emailid in items[::-1]:
resp, data = m.fetch(emailid, "(RFC822)")
if ( break_ ):
break
for response_part in data:
if isinstance(response_part, tuple):
msg = email.message_from_string(response_part[1])
varSubject = msg['subject']
varDate = msg['date']
我只想要以$
if varSubject[0] == '$':
r, d = m.fetch(emailid, "(UID BODY[TEXT])")
ymd = email.utils.parsedate(varDate)[0:3]
my_msg.append([ email.message_from_string(d[0][1]) , ymd ])
msg_cnt += 1
我只想要N = 100张最后消息
if ( msg_cnt == 100 ):
break_ = True
l = len(my_msg)
US, EastCst, NewEng, CenAtl, LwrAtl, Midwst, GulfCst, RkyMt, WCst, CA =
[0]*l, [0]*l, [0]*l, [0]*l, [0]*l, [0]*l, [0]*l, [0]*l, [0]*l, [0]*l
absc = [k for k in range(len(my_msg))]
dates = [str(msg[1][2])+'-'+str(msg[1][3])+'-'+str(msg[1][0]) for msg in my_msg]
cnt = -1
for msg in my_msg:
data = str(msg[0]).split("\n")
cnt+=1
for c in [k.split("\r")[0] for k in data[2:-2]]:
使用正则表达式获取相关信息
m = re.match( r"(.+)(=3D\$)(.+)" , c )
if( m == None ):
continue
country, na, price = m.groups()
if ( country == "US" or country == "USA" ) :
US[cnt] = float(price)
elif( country == "NewEng" ) :
EastCst[cnt] = float(price)
elif( country == "EastCst" ) :
NewEng[cnt] = float(price)
elif( country == "EastCst" ) :
CenAtl[cnt] = float(price)
elif( country == "EastCst" ) :
LwrAtl[cnt] = float(price)
elif( country == "EastCst" ) :
Midwst[cnt] = float(price)
elif( country == "EastCst" ) :
GulfCst[cnt] = float(price)
elif( country == "EastCst" ) :
RkyMt[cnt] = float(price)
elif( country == "EastCst" ) :
WCst[cnt] = float(price)
elif( country == "EastCst" ) :
CA[cnt] = float(price)
用美国价格绘制所有这些曲线
plt.plot( absc, US )
plt.plot( absc, EastCst )
plt.plot( absc, NewEng, '#251BE0' )
plt.plot( absc, EastCst, '#1BE0BF' )
plt.plot( absc, CenAtl, '#E0771B' )
plt.plot( absc, LwrAtl, '#CC1BE0' )
plt.plot( absc, Midwst, '#E01B8B' )
plt.plot( absc, GulfCst, '#E01B3F' )
plt.plot( absc, RkyMt )
plt.plot( absc, WCst )
plt.plot( absc, CA )
plt.legend( ('US', 'EastCst', 'NewEng' , 'EastCst', 'CenAtl', 'LwrAtl', 'Midwst', 'GulfCst', 'RkyMt', 'WCst', 'CA') )
plt.title('Diesel price')
locs,labels = plt.xticks(absc, dates)
plt.show()
一些相关的有趣话题在这里
Forward emails with attachment
结果仅限于三个区域