Skip to main content

front end - Best way to add KeyEvents and faster Quit


Many users have asked how to add KeyEvents to speed/improve keyboard input. This is just a random example. The technique is always the same. It requires that you manually modify KeyEventTranslations.tr (an important system file).


It always struck me as a bit odd that even power users propose to manually do this. Surely this system file is loaded into Mathematica at the start of a session (or not?), so it is perhaps possible to programmatically add the necessary KeyEvents to an already running Mathematica session. Of course in this case the new key bindings will only be temporary, but this might even be preferable in some cases.


So the question is: is it possible to programmatically add the necessary KeyEvents to an already running Mathematica session, without changing the KeyEventTranslations.tr? Alternatively: can we program Mathematica to backup KeyEventTranslations.tr and programmatically modify it? I know this is possible, I just wonder if someone has done it.



And perhaps automatically reload the new version so that it takes effect right away?




The art of Quitting.


I take the occasion to post another item related to "saving keystrokes for your retirement": It recently came to my attention that many/most users when they want to quit the kernel, type Quit[].


Well...the good news are that you just need to type Quit (saving two keystrokes).



Answer



This will add Quit to Control+Q (and Alt+V Q Q):


FrontEndExecute[
FrontEnd`AddMenuCommands["MenuListQuitEvaluators",
{MenuItem["AddMenu &Quit",

FrontEnd`KernelExecute[ToExpression["Quit[]"]],
MenuKey["q", Modifiers -> {"Control"}],
System`MenuEvaluator -> Automatic]}]]

It only persists for the front end session.


Usually I keep the following in my KeyEventTranslations.tr file:


Item[KeyEvent["q", Modifiers -> {Control}],
FrontEndExecute[
FrontEnd`FrontEndToken[SelectedNotebook[], "EvaluatorQuit", Automatic]
]],

Comments

Popular posts from this blog

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.