CODEWITHSUNDEEP
pythonmatplotlib3dscatter-plot
Sirmione
Sirmione

Reputation: 311

How to project 3D scatter points onto the xy-plane?

this is the graph in question and the dots should appear in the bottom plane, not "above" the plane like i manged to. enter image description here

bx.scatter(xs,ys,zs, zdir=zs,c=plt.cm.jet(np.linspace(0,1,N))) # scatter points
for i in range(N-1):
    bx.plot(xs[i:i+2], ys[i:i+2], zs[i:i+2], color=plt.cm.jet(i/N), alpha=0.5) 
   #plots the lines between points
bx.scatter(xs,ys,zs=732371.0,zdir="z",c=plt.cm.jet(np.linspace(0,1,N)),depthshade=True)   
 bx.set_zlim3d(732371.0,) #limit is there so that we can project the points onto the xy-plane

as youll notice the points are drawn above the xy-grid and I had to set a lower limit for the z-axis so that the first projected point will not interfere with the first scatter point

I would prefer the points be in 2d and less hacky since I got 50 other graphs to do like this and fine tune each one would be cumbersome.

Got some simpler method you want to share?

Upvotes: 1

Views: 1744

Answers (1)

Diziet Asahi
Diziet Asahi

Reputation: 40667

There are many options, and ultimately, it depends on the range of your data in the other plots.

1) Offset the projection point by a fixed amount You could calculate the minimum Z value, and plot your projection a fixed offset from that minimum value.

zs=min(zs)-offset

2) offset the projection by a relative amount that depends on the range of your data. You could take into account the range of your data (i.e. the distance from min to max Z) and calculate an offset proportional to that (e.g. 10-15%).

zs=min(zs)-0.15*(max(zs)-min(zs))

Upvotes: 1

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