Octave
Summary ^{help replacing me} |
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This article contains information about the installation, configuration and use of GNU Octave. |
Related |
Matlab |
Sage-mathematics |
Mathematica |
From the official website:
- GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable.
Contents
Installation
Octave can be installed with the package octave, available in the official repositories.
Octave-Forge
Octave provides a set of packages, similar to Matlab's Toolboxes, through Octave-Forge. Some of these packages may be found in the AUR (search packages). A non-exhaustive list:
- Image — Provides functions for processing images.
- Statistics — Provides additional statistical functions.
- IO — Provides input and output in external formats such as XML, CSV or XLS.
- Signal — Provides signal processing tools, including filtering, windowing and display functions.
- Multicore — Provides functions for parallel processing on multiple cores.
A complete list can be found on Octave-Forge.
Packaging
Creating an Octave-forge package for Arch is easy using the Octave-forge helper scripts for Archlinux.
Using Octave's installer
Packages can also be managed using Octave's installer. To install a package:
- Download the
.tar.gz
package from Octave-Forge. - Install it from Octave as user by executing:
octave:1> pkg install packagename.tar.gz
Packages have dependencies which you have to install before installing your package, if you want to bypass this use:
octave:2> pkg install -no-deps packagename.tar.gz
To uninstall a package:
octave:3> pkg uninstall packagename.tar.gz
Some packages get loaded automatically by Octave, for those which do not:
octave:4> pkg load packagename
or
octave:5> pkg load all
To see which packages have been loaded use pkg list
, the packages with an asterisk are the ones that are already loaded.
A way to make sure that all packages gets loaded at Octave startup:
/usr/share/octave/site/m/startup/octaverc
## System-wide startup file for Octave. ## ## This file should contain any commands that should be executed each ## time Octave starts for every user at this site. pkg load all
Plotting
Octave has two official plotting backends:
- Gnuplot — A classic Linux plotting utility.
- FLTK Backend — A new experimental OpenGL backend based on the FLTK GUI toolkit.
GnuPlot is still the default, but it can be changed by:
octave:1> graphics_toolkit("fltk");
To make this change permanent add it to your ~/.octaverc
file.
Graphical interfaces
There are very few graphical interfaces for Octave and none of them are official:
- Cantor — A graphical user interface that delegates its mathematical operations to one of several back ends (Scilab, Maxima, Octave and others).
- QtOctave — A Qt frontend for Octave.
Reading Microsoft Excel Spreadsheets
There are several ways to read Microsoft Excel files with Octave.
Converting to an open format
The easiest way to use .xls
files in Octave would be to convert them to .csv
or .ods
using Calc (limited to 1024 columns) from Libreoffice or Sheets(limited to 32768 columns) from the the Calligra Suite.
After the conversion is complete you can use the build-in Octave function csvread
for .csv
files:
octave:1> csvread('myfile.csv');
For .ods
files the octave-io^{AUR} package is necessary which contains the odsread
function:
octave:1> odsread('myfile.ods');
For .xlsx
files you can use the xlsx2csv^{AUR} package from AUR:
xlsx2csv -t /path/to/save/location -x /path/to/myfile.xlsx
Reading xls files directly from Octave
If you must work with XLS files and you cannot convert them to CSV or ODS, for whatever reason, you can use the xlsread
function from the octave-io^{AUR} package.
xlsread
is Java-based and as such requires some Java libraries to enable support for XLS files.
The steps necessary to make it work are:
- 1. Install jdk7-openjdk, available in the official repositories.
- 2. Install a Java XLS library for
xlsread
. There are more such libraries available, a comparison can be found at here. The recommended library is apache-poi^{AUR}, available in the AUR.
- 3. Finally, install the octave-java^{AUR} package from AUR.
To check if Java is working correctly in Octave, see the output of:
octave:1> javaclasspath STATIC JAVA PATH - empty - DYNAMIC JAVA PATH - empty -
To load the selected library in Octave, check if it is in the Java path. If not:
octave:1> javaaddpath path/to/file.jar
In the case you chose apache-poi^{AUR}, the relevant JAR files can be found in /usr/share/java/apache-poi/poi-3.x.jar
and /usr/share/java/apache-poi/poi-ooxml-3.x.jar
.
To check if it works
octave:1> chk_spreadsheet_support
The output should be > 0:
0 No spreadsheet I/O support found ---------- XLS (Excel) interfaces: ---------- 1 = COM (ActiveX / Excel) 2 = POI (Java / Apache POI) 4 = POI+OOXML (Java / Apache POI) 8 = JXL (Java / JExcelAPI) 16 = OXS (Java / OpenXLS) --- ODS (OpenOffice.org Calc) interfaces ---- 32 = OTK (Java/ ODF Toolkit) 64 = JOD (Java / jOpenDocument) ----------------- XLS & ODS: ---------------- 128 = UNO (Java / UNO bridge - OpenOffice.org)
To make this permanent add the javaaddpath
commands to your ~/.octaverc
file.
xlsxread
Use xlsxread. But it is limited to .xlsx files >= Excel 2007.