plotting - Combine Plots into a single non-rasterized Graphic with no spacing

Suppose that I have two plots, pl1 and pl2:

pl1 = Plot[x, {x, 0, 1}, Frame -> True, ImageSize -> 350]
pl2 = Plot[x^2, {x, 0, 1}, Frame -> True, ImageSize -> 350]

pl1

pl2

I would like to (1) combine these plots side-by-side in a (2) non-rasterized graphic with (3) no spacing.

I get pretty close to my desired result by using Grid with Spacings -> 0:

Grid[{{pl1, pl2}}, Spacings -> 0]

grid

The above satisfies my requirements (2) and (3): the result is non-rasterized, and there is no spacing between the plots. However, the above doesn't satisfy my requirement (1), that the plots be combined into a single Graphic object. That is, if I click on either of the plots, I see that they are separate Graphic objects:

gridA

gridB

So the above approach doesn't satisfy all of my requirements. (Why do I need the plots to be combined in a single Graphic? The reason is that I want to be able to place other Graphic objects -- e.g., text, arrows, shapes, etc. -- that span the two plots.)

Another possibility is to use ImageAssemble, but unfortunately this leads to a rasterized image:

ImageAssemble[{{pl1, pl2}}]

imageassemble

A third possibility is to use GraphicsGrid with Spacings -> 0:

GraphicsGrid[{{pl1, pl2}}, Spacings -> 0]

graphicsgrid

It seems that this produces a single Graphic object ((1)) that is not rasterized ((2)), but, unfortunately, there is spacing between the plots.

Do you have any suggestions? Is there any way to remove the spacing/padding in GraphicsGrid?

Answer

You could do something like the following:

pl1=Plot[x,{x,0,1},Frame->True,ImageSize->350, 

 ImagePadding->{{Scaled[0.05],None},{Automatic,Automatic}}];
pl2=Plot[x^2,{x,0,1},Frame->True,ImageSize->350, 
 ImagePadding-> {{None,Scaled[0.05]},{Automatic,Automatic}}];

GraphicsGrid[{{pl1,pl2}},Spacings->{Scaled[-0.07],0}]

enter image description here

This removes the padding from the graphics themselves with the option ImagePadding, and a magic number of -0.07...There is likely a better way.

Comments

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I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1.

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