Yes! This is precisely the use case I have been waiting for. I just used days to implement a simple bar chart and a map visualization in Notebook. In IPython 1.

Yes! This is precisely the use case I have been waiting for. I just used days to implement a simple bar chart and a map visualization in Notebook. In IPython 1.0 this requires matplotlib know-how, the whole Python GIS library system to get shapefiles into Python format, not to mention changing projections and such to our somewhat peculiar needs. Now I can just create widgets from my D3 visualizations, connect the Pandas dataframe and it is done. Also, I can continue to refine my standalone D3 visualizations and the widgets will benefit. All of this I used to do by hand, in a separate multistage process, I can now do directly and interactively. Getting a real table view from Dataframe is the missing link. Now to search for the JS table plugin that can handle multi-index, hierarchical tables...