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Based on the findings from this and this answers, I can suggest the following approach. Let us make a histogram: SeedRandom[10]; hist = Histogram[RandomVariate[NormalDistribution[0, 1], 1000]] It has AspectRatio -> 1/GoldenRatio (the default): Options[hist, AspectRatio] {AspectRatio -> 1/GoldenRatio} Now we can place this histogram as ...


1

I've edited my answer in the linked thread so that it can now be used without modification. Previously, you had to define the functions uv that you wish to differentiate in a more general way, replacing the explicit 0 in their argument with y. The reason is that my earlier answer assumed differentiations are performed on the given function, not on the new ...



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