installation - How can I install packages distributed as .paclet files?

I downloaded a Mathematica package. It came as a file with the .paclet extension. How can I install or uninstall it?

Answer

This answer is for people who are not interested in package development, and just need to install a Mathematica package which they obtained as a .paclet file.

Note: Before using the functions in this guide, it may be necessary to evaluate Needs["PacletManager`"]. Specifically, this is needed when your notebooks's default context is set to "Unique to This Notebook".

Installing

Packages distributed as paclets can be installed using the PacletInstall function. Evaluate this function with its argument the full path to the downloaded .paclet file.

For example, if SomePackage-1.0.0.paclet was downloaded into the ~/Downloads directory, then evaluate

PacletInstall["~/Downloads/SomePackage-1.0.0.paclet"]

You may use Insert → File Path... to easily insert the path to this file.

Getting information

.paclet files are typically named as SomePackage-1.0.0.paclet. Here SomePackage is the paclet name and 1.0.0 is its version. To get information about the active version of a currently installed paclet, use PacletInformation with its name:

PacletInformation["SomePackage"]

To list all installed versions of a paclet, use

PacletFind["SomePackage"]

Typically the latest version will be the active one. This is listed first by PacletFind.

Uninstalling

To uninstall all versions of a paclet named SomePackage, use

PacletUninstall["SomePackage"]

Warning: Mathematica uses many system paclets. Do not attempt to uninstall these. Only uninstall paclets that you have installed yourself.

Paclets with documentation

Packages that come with documentation may show up in the Documentation Center's Add-ons browser. Open the Documentation through the Help menu and look for the Add-ons and Packages link in the lower right corner:

Clicking it will show a list of those installed packages (both paclets and traditional ones) that come with documentation. The list may have buttons for opening the package's documentation or for uninstalling it.

Information for developers

If you are looking to distribute your own packages as paclets, read the following threads:

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