notebooks - Substituting confidential tagged cells by a “content removed” cell

When producing a notebook with both code and text, I often end up with pieces of code, or even entire chapters, that I don't want to be shown on the final output.

I generally hide or close them by hand, but this is time consuming, susceptible of error, and leaves big white spaces everywhere.

I'm searching for a way of, by tagging a cell or entire chapter (a "group head") as confidential, on the moment of the printing its content is substituted by a "content removed" warning cell (if possible, a different warning for a list of different tags that are included in the search).

Don't know if it can be managed on a style sheet specification (something that I know very little of) or just code (on a MMA theme that I also know very little), or both. I don't mind that a “cleaned” replica of my notebook is temporally generated, just for the printing formatting.

Answer

Here is a starting point, which people with palette creation experience could expand on to create a "one click" solution. First, my setup:

File number 1: "confidential.nb" with two sections and two text cells. I selected the entire first section and hit CTRL+J to bring up the cell tags:

Mathematica graphics

I added the tag "Confidential" to all of the cells. This is what it looks like:

Mathematica graphics

I then created a second notebook "confidential-purge.nb" with the following. First, open the notebook silently (Visible->False).

SetDirectory[NotebookDirectory[]]
nb = NotebookOpen[
  FileNameJoin[{NotebookDirectory[], "confidential.nb"}], 
  Visible -> False]

Translate the NotebookObject into an expression that can be manipulated, and replace every non-section occurance of a cell with the "Confidential" tag with some arbitrary text:

nbConf = NotebookGet[nb] /. 
   Cell[t_, a_, b___, CellTags -> "Confidential", c___] /; 
     a =!= "Section" :> 
    Cell["CONFIDENTIAL", a, b, CellTags -> "Confidential", c];

Save the output to a file:

NotebookPrint[nbConf, FileNameJoin[{NotebookDirectory[], "test.pdf"}]]

The result:

Mathematica graphics

Now, I'm sure this won't work in all cases, but perhaps will serve as a starting point.

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