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๐Ÿ“š IGOR Pro 9.01 - Scientific graphing and data analysis, demo available.


๐Ÿ’ก Newskategorie: iOS / Mac OS
๐Ÿ”— Quelle: macupdate.com



Igor Pro is an interactive software environment for experimentation with scientific and engineering data and for the production of publication-quality graphs and page layouts. Igor has been used by tens of thousands of technical professionals since its introduction in 1989. Here are a few highlights of Igor Pro.

  • Produces and exports high-resolution, journal quality scientific graphs in EPS and PDF
  • Handles large data sets very quickly
  • Includes a wide range of capabilities for scientific and engineering analysis and simulation
  • Contains a built-in programming environment that makes it easy to automate applications and extend internal tools
  • Completely programmable via a built-in programming environment and can be extended by external code (XOPs) written in C
  • Igor Pro has special support for time-series or other evenly-spaced data
  • Includes extensive image processing tools for image filtering, manipulation and graphing
  • Runs on Macintosh and Windows computers; Igor Pro 8 data files are cross-platform compatible
  • Imports data in many formats and can acquire data from hardware devices
  • Uses unicode to support foreign languages and mathematical symbols
  • Active user-to-user support and collaboration forum
  • Responsive, user-acclaimed technical support
  • Includes Igor Filter Design Laboratory for interactive design of FIR and IIR digital filters

Academic and Student pricings are available, see this page for more information.



  • Autosave has been added with user options to control for the frequency and granularity of saving.
  • New built-in HDF5 support: Igor experiments can now be saved as HDF5 files, and you can open and browse multiple HDF5 files and convert the data into Igor native formats. Igor Pro 9 can still read files created by all earlier versions of Igor and defaults to saving packed experiments using the .pxp file format used in previous versions.
  • Igor supports sparse matrices through the new MatrixSparse operation. It uses the Intel Math Kernel Library Sparse BLAS routines and employs the libraries terminology and conventions. A sparse matrix in Igor is represented by a set of three 1D waves which define the non-zero elements of the matrix. Igor supports three sparse matrix representation formats: COO, CSC, and CSR. Sparse matrix operations in include matrix addition, multiplication, and TRSV which solves a system of linear equations.
  • Agglomerative hierarchical cluster analysis has been added with the new HCluster operation.
  • Complex curve fitting has been implemented.
  • Major update of the MultiPeak Fit package. The functions that were previously provided by the PeakFunctions2 XOP are now built-in.
  • The ability to drag waves from the Data Browser onto a graph to make new traces has been enhanced. New active areas allow you to append traces to specific axes and to make new free axes, as well as select a wave as an X wave. Also, it is now possible to drag waves onto graphs and tables from the Waves in Window list of the Window Browser.
  • For those times when a user-defined panel is just a bit too small to read easily or a bit too big to fit your laptop's screen, you can make that panel bigger or smaller using Igor 9's new Panelโ†’Expansion submenu.
  • Box Plots and Violin Plots now support per-dataset properties.
  • Box Plots and Violin Plots now allow you to control the color, marker and marker size of each individual data point.
  • Igor's PDF export now supports transparency and improved font embedding.
  • Improved editing of Polygons and Beziers.
  • The new Presentation Table Procedures package allows you to programmatically create a "presentation table" in a graph, layout or control panel window.
  • Command completion now includes user-defined functions.
  • Faster procedure compile time.
  • Improved text processing performance.
  • Added automatic multithreading in CWT, ImageRegistration, Interp3DPath, norm and ImageFilter.
  • 29 new MatrixOP functions: spliceCols, zapNaNs, zapINFs, addRows, addCols, waveX, waveY, waveZ, waveT, DecimateMinMax, Select, SQ, VarBeams, SumND, KronProd, bitReverseCol, setColsRange, layerStack, maxMagAB, minAB, minMagAB, gammaln, gamma, expIntegralE1, greaterOrEqual, log2, normP, oneNorm, and expm.
  • Added functions vectorization and optimized memory allocation in MatrixOP.

Complete release notes can be found here.



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