As part of the work on our research environment at Quantopian <https://www.quantopian.com/research> , I've been building an extension which renders pandas DataFrames as interactive grids in the IPython notebook. The extension uses a Javascript library called SlickGrid to render the grids, and the current state of the project can be found here on GitHub: https://github.com/quantopian/qgrid The extension is also viewable in nbviewer: http://nbviewer.ipython.org/github/quantopian/qgrid/blob/master/qgrid_demo.ipynb The GitHub repository contains some explanation of why I chose to implement the grid as a Python package rather than a standard IPython notebook extension, which might be interesting for other people who are looking to add functionality to the notebook in a similar way. -Tim -- View this message in context: http://python.6.x6.nabble.com/Interactive-Grid-for-Sorting-Filtering-DataFrames-in-IPython-Notebook-tp5073931.html Sent from the Python - python-dev mailing list archive at Nabble.com.
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