New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It's like having the NYTimes graphics department inside your IPython.

You can also get these Notebooks on the Plotly GitHub page. Visit Plot.ly to see more documentation. 

• Bubble Charts and Hover Text

• NumPy and Datetime

• Plotly Gallery

• Pandas and Plotly

• Multiple Axes, subplots, and insets

• Plotly with IJulia

Here's a preview of how it looks to have your code, data, and graph all interactively available. See the live version.