This is an H1¶

This is an H2¶

This is an H3¶

This is an H4¶

This is an H5¶

This is an H6¶

This is a block of text.

Here is a list
of items

and
a few
numbers

this is a quote

All you need to do is pip install plotly and then import plotly.plotly as py

Emailing Plotly Graphs¶

In the Plotly Webapp you can share your graphs over email to your colleagues who are also Plotly members. If your making graphs periodically or automatically, e.g. in Python with a cron job, it can be helpful to also share the graphs that you're creating in an email to your team.

This notebook is a primer on sending nice HTML emails with Plotly graphs in Python. We use:

Plotly for interactive, web native graphs
IPython Notebook to create this notebook, combining text, HTML, and Python code
smtplib and email libraries included in the Python standard library

In [1]:

# This is a comment
from plotly.offline import iplot, init_notebook_mode

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init_notebook_mode()

In [3]:

iplot([{'x': [1, 2, 3], 'y': [3, 1, 5]}])

Drawing...

Updating graphs¶

If we use the same filename, the graph will save to the same URL. So, if we include a graph in an email by it's URL, we can update that graph by calling py.plot with the same filename.

In [14]:

for i in range(100):
    print i

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In [3]:

! pip install publisher --upgrade

from IPython.display import HTML, display

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="https://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

import publisher
publisher.publish('style-template', '/python/style-template', 
                  'Markdown CSS Style Template', 
                  'Markdown CSS Style Template',
                   uses_plotly_offline=True, sitemap='false')

Requirement already up-to-date: publisher in /Users/chriddyp/Repos/venvpy27/lib/python2.7/site-packages

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