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README.md

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Python-api: Data Visualization and Analytics
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Python-API: Scientific Graphing Library
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======
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Plotly's scientific graphing libraries let you make and share interactive, publication-quality graphs
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in your web browser. That means you can interface Plotly's online graphing tools with your desktop environment,
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easily sending or streaming data to your graphs in your web browser.
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You can both style with code and with our online interface. And Plotly also offers a Python Shell (NumPy suppported) and statistical tools for analalzing your data.
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And Plotly also makes it easy to post and share your data and graphs, together, publicly with a url or privately with your team.
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in your browser. Plotly's online graphing tools can interface with your desktop environment, allowing you to import or stream data. Then, style beautiful graphs with code and Plotly's online interface. Easily share your data and graphs publicly with a URL or privately with your team.
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Gallery Examples
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-------------
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![](https://f.cloud.github.com/assets/5034604/1587845/c6098d92-5242-11e3-816e-10d96a545efa.png "Example plots")
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2015

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Documentation
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Documentation and Feedback
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-------------
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Online documentation is available [here](https://plot.ly/api).
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- Online documentation is available [here](https://plot.ly/api).
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Examples and Background
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--------
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- Have questions, thoughts, bugs to report, or suggestions? Contact feedback [at] plot [dot] ly, or connect with us on [Facebook](facebook.com/plotly), [Twitter](https://twitter.com/plotlygraphs), or [Google +](https://plus.google.com/+PlotLy).
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You can also use Plotly and IPython to make interactive graphs.
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- For dashboard uses, see [Plotly.js](https://plot.ly/developers).
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- A [Plotly demo](http://nbviewer.ipython.org/7576511) on using the [Plotly graphing API](https://plot.ly/api/Python) to make interactive, collaborative, publication-quality graphs, explained more fully by this [talk](https://www.youtube.com/watch?v=zG8FYPFU9n4).
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IPython-Plotly Notebooks on NBViewer
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-----------------------------
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- A [Plotly tutorial](http://nbviewer.ipython.org/7628933) on using the [Plotly graphing API](https://plot.ly/api/Python) to graphs with multiple axes, subplots, and insets.
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- [Basic graph examples](http://nbviewer.ipython.org/7576511) Get started here. Try zooming and panning inside the graphs.
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- A [demonstration and tutorial](http://nbviewer.ipython.org/7551139) on making interactive graphs with [Plotly](https://plot.ly/) and Julia.
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- [Multiple axes, subplots, and insets](http://nbviewer.ipython.org/7628933) Get crazy with scientific graphing here.
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- [IJulia example](http://nbviewer.ipython.org/7551139) IJulia rocks! So does Plotly. Check it out.
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- [Plotly graphs in the Washington Post, embedded as an iframe](www.washingtonpost.com/blogs/wonkblog/wp/2013/06/14/do-low-taxes-on-the-rich-leave-the-middle-class-with-lower-wages/)
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- [Bubble Charts and Hover Text](http://nbviewer.ipython.org/gist/jackparmer/7729584) Psychedelic spirals, crime data, Hans Rosling, data slicing with Pandas, and more.
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Use cases
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------------
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- Sports Journalism [Score Distribution Stats for NFL, NHL, MLB, and NBA](https://plot.ly/sdqlheatmaps)
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Installation
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------------
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Follow easy installation instructions and choose your language [on the Plot.ly site](https://plot.ly/api/)
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Development
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-----------
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Please submit any bugs you encounter to [email protected]. For dashboard uses, see [Plotly.js](https://plot.ly/developers)
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Connecting
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-----------
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You can also connect with us on [Facebook](facebook.com/plotly), [Twitter](https://twitter.com/plotlygraphs), and [Google +](https://plus.google.com/+PlotLy)
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Feedback
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"Plotly is my absolute favorite way to communicate data and complex ideas to my readers."
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-Dylan Matthews, Columnist and Data Journalist, Washington Post
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"I am using the Plotly Chrome App to teach high school students how scientists really analyze and present data. This app goes well beyond anything else we have been able to find."
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-Dr. Michael Frank, 2011 Recipient, Presidential Award for Excellence in Mathematics and Science Teaching
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"@plotlygraphs Continues to kick ass with their latest release of their plotting api. Multiple coordinated charts rock!" -Stanford robotics guru

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