也可以在内存中执行所有操作，将其保存到BytesIO缓冲区，然后将其馈送到有效负载：

import io
from email.encoders import encode_base64
from email.mime.base import MIMEBase
from email.mime.multipart import MIMEMultipart

buf = io.BytesIO()
plt.savefig(buf, format = 'png')
buf.seek(0)

mail = MIMEMultipart()
...
part = MIMEBase('application', "octet-stream")
part.set_payload( buf.read() )
Encoders.encode_base64(part)
part.add_header('Content-Disposition', 'attachment; filename="%s"' % 'anything.png')
mail.attach(part)

可以使用figure.savefig()将打印保存到文件。一个将图输出到文件的示例：

fig = plt.figure()    
ax = fig.add_subplot(111)

# Need to do this so we don't have to worry about how many lines we have - 
# matplotlib doesn't like one x and multiple ys, so just repeat the x
lines = []
for y in ys:
    lines.append(x)
    lines.append(y)

ax.plot(*lines)

fig.savefig("filename.png")

然后只需将图像附加到您的电子邮件（如recipe in this answer）。

我不喜欢用SMTP和电子邮件库做这件事有多混乱，所以我决定自己解决这个问题，并创建了一个更好的发送电子邮件的库。您可以将Matplotlib图形作为附件或包含在HTML正文中，而无需任何努力：

# Create a figure
import matplotlib.pyplot as plt
fig = plt.figure()
plt.plot([1,2,3,2,3])

from redmail import EmailSender
# Configure the sender (pass user_name and password if needed)
email = EmailSender(host="<SMTP HOST>", port=0)

# Send an email
email.send(
    subject="A plot",
    sender="me@example.com",
    receivers=["you@example.com"],

    # A plot in body
    html="""
        <h1>A plot</h1> 
        {{ embedded_plot }}
    """,
    body_images={
        "embedded_plot": fig
    },

    # Or plot as an attachment
    attachments={
        "attached_plot.png": fig
    }
)

库（希望）应该是所有你需要从一个电子邮件发件人。可以从PyPI安装：

pip install redmail

文件：https://red-mail.readthedocs.io/en/latest/
源代码：https://github.com/Miksus/red-mail