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Provides Pythonic API which takes the advantages of Traits(used for Python object attributes).

Offers extended functionality by adding sources, components, data filters, and modules.

Can visualize scaler, tensor, and vector data in both 2D and 3D.

It can be the right choice as an alternative to Matplotlib or Matlab. Also, it lets you save the rendered visualization in several formats. You can make publication-quality graphs or plots through Mayavi. The program is written in Python and distributed under the BSD license. It provides a rich graphical user interface which uses VTK. Mayavi is a modern and free scientific data visualizer to create interactive 3D plots.

Provides good support and documentation to make the use more comfortable.

Using scripts, Gnuplot can be used interactively and also in batch mode.

Generate two and three-dimensional plots and functions.

Produce output directly on the screen in different formats, including PNG, JPEG, SVG, GIF, EMF, and EPS.

Can be used from several scripting languages, including Ruby, Python, and Perl.

Gnuplot can perform with complex computations using user-defined constants and functions. Besides Linux, it also runs on all the major platforms, including Windows, macOS, and Unix. It is an open source plotting tool written in the C programming language. Stars and Stripes is an occasional series looking at the impact of Linux in the USA.Gnuplot comes with Linux command line protocol that allows engineers, scientists, and students to visualize different types of interactive functions and data. Linux Around The World showcases usergroups that are relevant to Linux enthusiasts.

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#2d plot veusz android

We showcase free Android apps that are definitely worth downloading.

#2d plot veusz software

Getting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers.īest Free Android Apps. Have some fun and escape from the daily drudgery. Linux Candy reveals the lighter side of Linux. Linux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged. Now and Then examines how promising open source software fared over the years. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum. Home computers became commonplace in the 1980s. Saving Money with Linux looks at how you can reduce your energy bills running Linux. Surveys popular streaming services from a Linux perspective: Amazon Music Unlimited, Myuzi, Spotify, Deezer, Tidal. Small, indispensable tools, useful for anyone running a Linux machine. Linux utilities to maximise your productivity. We start right at the basics and teach you everything you need to know to get started with Linux.Īlternatives to popular CLI tools showcases essential tools that are modern replacements for core Linux utilities.Įssential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users. New to Linux? Read our Linux for Starters series. Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS.

We offer helpful and impartial information. Hundreds of in-depth reviews offering our unbiased and expert opinion on software. Each article is supplied with a legendary ratings chart helping you to make informed decisions. The largest compilation of the best free and open source software in the universe. Learn Python with our recommended free books and free tutorials.

#2d plot veusz license

License: GNU General Public License version 2 or higher

#2d plot veusz code

Support: Manual, Man page, FAQs, GitHub Code Repositoryĭeveloper: Jeremy Sanders and contributors

#2d plot veusz mac os

Cross-platform support – runs under Linux, FreeBSD, NetBSD, OpenBSD, Mac OS X, and Windows.make new datasets, optionally linked to existing datasets.Plugin interface to allow user to write or load code to:.User defined functions, constants and can import external Python functions.n-dimensional datasets can be sliced for plotting.Data can be captured from external sources.Text, CSV, HDF5, FITS, NPY/NPZ, QDP, binary and user-plugin importing.Axes scales using functional forms, optionally linked to another axis.Axes with steps in axis scale (broken axes).Images (with colour mappings and colorbars).X-Y plots (with errorbars, colours and sizes).The software has been under development since 2005.