A python plotting framework to visualize 2.5 dimensional data (set of dataseries where each series is linked to one additional unique value) in 2 dimensions.
I originally developed lstein to solve the manypbchallenge, but realized that the method is general enough to potentially be useful in other fields as well.
Have a look at Figure 1.
Please cite the paper if you use lstein in your work
Example plot for an lstein plot.
The displayed object is a simulated snii from elasticc.
Different colors denote different passbands.
The $\theta$-axis (angular) shows the passband wavelength.
On the $y$-axis (angular, individual panels i.e., fraction of the entire semicircle plots the brightness in fluxcal).
Finally, in radial direction ($x$-axis) I show time relative to the first recorded datapoint.
bev
A web-application to interactively visualize badminton exercises in 3d.
bev uses plotly for the creation of the visualization.
The entire project is based on json-objects.
Therefore, you can save and load states of the web-application.
You can also write your own presets directly in json if you prefer that over the user interface.
For details to the different available options I recommend you have a look at the Schema.json file (available from within the UI).
Have a look at Figure 2 for a visualization example.
An acknowledgement if you find the application useful is appreciated.
Example plot for a bev visualization.
The shown exercise (Feeding Butterfly) shows the player on the $y > 7.5$ side.
The feeder is positioned on the opposite end.