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Nice, I've been looking for a way to visualize the evolution of a volatility surface over the course of a month, the trick of just outputting the files and grea

Nice, I've been looking for a way to visualize the evolution of a volatility surface over the course of a month, the trick of just outputting the files and greating a gif with ImageMagick seems like a nice, quick way to show it. Any idea how you could make something like this but interactive, say within a Jupyter notebook with a slider? Really great work here, I need to renew my expired LWN subscription clearly. Thanks for posting!

cameldrv 6y ago
ipyvolume and plotly can do some similar things.
leephillips 6y ago
You absolutely could do this. Here is another article I wrote for LWN with an interactive graph: https://lwn.net/Articles/746386/ https://lwn.net/Articles/746386/ It uses matplotlib, but there is also a gnuplot kernel for jupyter. It would take some work to hook everything together, but I'm sure it's possible.
tkuraku 6y ago
VTK is a great visualization tool that might suit your needs.
- ktpsns 6y ago
  If you want to dig into VTK, try out ParaView (https://www.paraview.org/ https://www.paraview.org/) or VisIt (https://wci.llnl.gov/simulation/computer-codes/visit https://wci.llnl.gov/simulation/computer-codes/visit), both open source and scriptable with Python. VTK is a mature industry standard for 3D data serialization and visualization. That's much more heavy then mplot3d (matplotlib 3d) or gnuplot 3d.
jedbrown 6y ago
3D viz that integrates well with Jupyter: https://yt-project.org/ https://yt-project.org/ Also MayaVi (https://docs.enthought.com/mayavi/mayavi/index.html https://docs.enthought.com/mayavi/mayavi/index.html), which is more Pythonic. Paraview (https://www.paraview.org/ https://www.paraview.org/), which is widely used and has a relatively good GUI, but not as good for Jupyter. Ascent (https://ascent.readthedocs.io/en/latest/ https://ascent.readthedocs.io/en/latest/) for visualization of in-situ data.
- fluffy87 6y ago
  You can use ParaView from Jupiter just fine ? You can even embed its views, pipelines, controls, make interactive notebooks, etc...

cameldrv 6y ago

ipyvolume and plotly can do some similar things.

leephillips 6y ago

You absolutely could do this. Here is another article I wrote for LWN with an interactive graph: https://lwn.net/Articles/746386/ https://lwn.net/Articles/746386/ It uses matplotlib, but there is also a gnuplot kernel for jupyter. It would take some work to hook everything together, but I'm sure it's possible.

tkuraku 6y ago

VTK is a great visualization tool that might suit your needs.

ktpsns 6y ago
If you want to dig into VTK, try out ParaView (https://www.paraview.org/ https://www.paraview.org/) or VisIt (https://wci.llnl.gov/simulation/computer-codes/visit https://wci.llnl.gov/simulation/computer-codes/visit), both open source and scriptable with Python. VTK is a mature industry standard for 3D data serialization and visualization. That's much more heavy then mplot3d (matplotlib 3d) or gnuplot 3d.

jedbrown 6y ago

3D viz that integrates well with Jupyter: https://yt-project.org/ https://yt-project.org/ Also MayaVi (https://docs.enthought.com/mayavi/mayavi/index.html https://docs.enthought.com/mayavi/mayavi/index.html), which is more Pythonic. Paraview (https://www.paraview.org/ https://www.paraview.org/), which is widely used and has a relatively good GUI, but not as good for Jupyter. Ascent (https://ascent.readthedocs.io/en/latest/ https://ascent.readthedocs.io/en/latest/) for visualization of in-situ data.

fluffy87 6y ago
You can use ParaView from Jupiter just fine ? You can even embed its views, pipelines, controls, make interactive notebooks, etc...