Hello,
I'm trying to represent a stock of matter divided into small blocks of H=2m, W=1m and D=1m but from an orthogonal top view so the height doesn't really matters. The issue I have is that my graph axes are not in the same scale (the stock I need to represent will have a variable width (up to 400m) and a fixed depth (45m).
This means if I uses a NCartesianChart with NPointSeries to represent the small blocks, these blocks (the points in the NPointSeries) will need not to look square but adapt to the axis.
Note: the stock width may change in runtime, but in this case it is OK to recreate the graph because it is not something that will append very often.
The final view has to look like each small block touches the ones around it to create a sort of plain surface (no border visible for the points).
On the screenshot attached you will see what I have now (the whole stock is divided in several graphs (min 1, max 3) per side.
On the bottom of the screenshot I zoomed and rotated a bit one of the graph to show the current (wrong) representation.
Thanks a lot for your help,
Best regards,
Joël Golinucci