Mathematica Multiple 2D plots in Mathematica

[flemmyd]

I posted this first in the homework section, but no one answered it. I figured this might be a better section...


I have multiple 1D data sets, let's call them data1, data2, data3, etc. Each data set has the same number of entries. Each one is either a row or a column (I can just use Transpose[...], so same] and when I use the ListPlot[] function, I get a graph where the vertical axis is the value in the data set and the horizontal axis is the numerical position.

i.e. if data 1 = {5 26 17 9...}, the graph would have points at (1,5), (2,26), (3,17), ...

What I want to do is plot data1, data2, etc on a 3d plot to see how the data evolves. By introducing another horizontal axis, I could plot data 1 on the y=1 plane (with the x-axis being the order and the z axis being the intensity) and data2 on the y=2 plane, etc.

When I try ListPlot3D[{data1,data2,data3...}], I end up plotting all the data points on the same y axis. I want to data1 on the y=1 plane, data2 on the y=2 plane, etc.

I tried just rewriting the entire data set as such:
data1_3D= Table[{i,1,data1[]},{i,1,Length[data1]}] *I didn't actually put an underscore. just so you could see my numbering system here.
data2_3D= Table[{i,1,data2[]},{i,1,Length[data2]}]

and just plotting these, but this didnt work.

Additionally, I'd love to use the interpolation function to connect the dots along the y-axis and x axis. There is no ListLinePlot3D function that I know of. I think {Mesh -> All} might work, although I'm trying to get this data set plotted first.

 

[Bill Simpson]

ListPlot3D[{{1, 2, 3}, {2, 4, 5}, {2, 5, 7}}]
looks like it plots the three data sets 1,2,3 2,4,5 and 2,5,7
in exactly the way I think you are describing..

If ListPlot3D doesn't work for you then post a simple concrete example of the actual input you used and what was wrong with the result.

ListInterpolation looks like it should do the interpolation on your data, but without actual concrete examples of a reasonably simple example it is impossible to show you that this works.