notebooks - Is there a keybinding for absolute value?

Is there a keyboard shortcut or esc-sequence for typing in the absolute value bars into input cells? I know that if you do,

Abs[-4] // TraditionalForm

and copy the output into an input cell using the "Paste literal" option, you get functioning absolute value bars with a placeholder. I'm curious if there's a less roundabout way to obtain them.

Answer

There isn't a built-in keybinding, but you can define one yourself:

ClearAll[myAbs]

appearanceAbs[x_] := 
 TemplateBox[{x}, "myAbs", 
  DisplayFunction :> (RowBox[{"\[LeftBracketingBar]", 
       "\[NoBreak]", #1, "\[NoBreak]", "\[RightBracketingBar]"}] &), 
  InterpretationFunction :> (RowBox[{"myAbs", "[", #1, "]"}] &)]

myAbs[x_?NumericQ] := Abs[x]


myAbs /: MakeBoxes[myAbs[x_], _] := appearanceAbs[ToBoxes[x]]

SetOptions[EvaluationNotebook[], 
 InputAliases -> 
  DeleteDuplicates@
   Join[{"abs" -> appearanceAbs["\[SelectionPlaceholder]"]}, 
    InputAliases /. 
      Quiet[Options[EvaluationNotebook[], InputAliases]] /. 
     InputAliases -> {}]]

This adds a shortcut EscabsEsc to the notebook's InputAliases. When you type it, a template will appear that looks the way one expects, $|\square|$. You may have to tab into it (that's a bug that didn't exist in older versions), and it will evaluate as Abs if the argument you entered is numeric. Otherwise, the display will remain of the form you see in TraditionalForm output. The evaluation of Abs happens because I define the template with an InterpretationFunction. I restrict this to numeric arguments, and for the other cases there is the definition myAbs /: MakeBoxes which kicks in when an unevaluated template is to be displayed again. To make this case distinction possible, I define an intermediate function myAbs.

Comments

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Mathematica: 3D plot based on combined 2D graphs

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.

Blog

Search This Blog