I'm working with a 3D set of (x, y, time) data. I'm trying to generate a heatmap of the (x,y) data over time in a smooth 3D heatmap. Plotly is preferred, but I'll take what I can get.
Data is of this form:
data_df = pd.DataFrame([(0,0,0),(1,1,1),(2,2,2),(1.1,1.2,1.4)], columns=['time','x','y'])
This is close to what I'm looking for (this was done in mathematica):
For a bonus, I want to have an image (flat map) at the bottom of the plotting volume, as described in this SO post
I've also considered a series of flat heatmaps at even intervals, which is less than ideal but I think would work enough to get the idea across. Unfortunately the only way I can figure to do that is as in the above described post, which doesn't seem optimal for this.
Update: Following this post I was able to generate the following: 
which is exactly what I'm looking for, however it is rendered in mayavi. I'm looking specifically for plotly due to other system integrations & plotting other information (map) on the same volume.
