Plotly Beta: Python plotting online and interactive IPython graphs

[Matt Sundquist]

Dear Python friends,

Happy Tuesday!

Plotly <https://plot.ly>--a collaborative graphing and analytics
project--recently launched a beta and we would love to hear your thoughts,
suggestions, and feedback.

Basic idea:

   - Import, upload, paste, and stream data into Plotly online
(example<https://plot.ly/~bchartoff/344/>
   ).
   - Analyze data with a grid and Python sandbox (NumPy supported).
   - Our Python API <https://plot.ly/api/python/> lets you plot with code
   and the GUI, making publication-quality, interactive, shareable graphs in
   the browser.
   - You alone or you and your team can collaborate, share, edit, and
   comment on your online plots.
   - You can also embed graphs and data together in an iframe (Washington
   Post example<http://www.washingtonpost.com/blogs/wonkblog/wp/2013/06/14/do-low-taxes-on-the-rich-leave-the-middle-class-with-lower-wages/>
   ).

We also really, really like IPython. Interactive Plotly graphs in Notebooks:

   - Bubble Charts and Hover
Text<http://nbviewer.ipython.org/gist/jackparmer/7729584>
   - Pandas & Plotly<http://nbviewer.ipython.org/gist/nipunreddevil/7734529>
   - Multiple axes, subplots, and
insets<http://nbviewer.ipython.org/gist/cparmer/7628933>
   - NumPy and datetime <http://nbviewer.ipython.org/gist/cparmer/7721116>

Documentation for the Python API is here <http://plot.ly/api/python>, and
the Notebooks and API are also on our GitHub <https://github.com/plotly>.

We would love and appreciate your expert feedback and opinions. Advice,
suggestions, and support go a long way and are much appreciated. And please
be forgiving (and let us know) if you encounter bugs or imperfections.
We're still figuring some things out.

All my best,
Matt

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