Matplotlib - stretch different subplots to same axis on 3d graph

Question

Suppose an array like:

[ [ [1,2,3,4,5,6,7], [10,11,12,13,14,15,16] ] , [ [1,2,3], [17,23,16] ] , [ [1,2] , [9,13] ] ]

^ So 3 different (x,y) data sets.

If I go ahead and plot all 3 using subplots, the x axis takes a range of 1 --> 7, thus the 2nd and 3rd data sets are condensed to the beginning of the chart. I'm aware of ways to stretch them out on a 2d array and thus give them their own distinct x ranges, however,

Suppose I have 2 more data sets like that I need to plot as well, and thus go ahead and use a 3d graph from plt.axes(projection='3d'). These other 2 data sets have the same x ranges (1-->7), but again, have different y ranges.

How do I stretch all three data sets on the 3d graph to their own distinct x ranges.

i.e.

fig = plt.figure() ax = plt.axes(projection='3d')

ax.plot([1,2,3,4,5,6,7] , [10,11,12,13,14,15,16], 0), ax.plot([1,2,3], [17,23,16], 0), ax.plot([1,2], [9,13], 0)

ax.plot([1,2,3,4,5,6,7], [4,5,1,4,5,6,7], 1), ax.plot([1,2,3], [9,8,2], 1), ax.plot([1,2], [12,18], 1 )

ax.plot([1,2,3,4,5,6,7], [6,5,4,3,2,1,6], 2 ), ax.plot([1,2,3], [12,4,9], 2 ), ax.plot([1,2], [1,3], 2 )

should display 3 distinct 2d graphs on seperate z values (bold number), but be stretched out to use their distinct x axes