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Generates a ranked list of several plots & visualizations based on an analysis of the data provided, allowing the user to choose their favorite graphic, share it, and export it as an image. DataGraph: GUI, command line: Proprietary: No 2006: February 17, 2020 / 4.5.1: macOS: 2D graphing, animations, data analysis, linear and non-linear curve ...
Octave interpreter has an OpenGL-based graphics engine to create plots, graphs and charts and to save or print them. Alternatively, gnuplot can be used for the same purpose. Octave includes a graphical user interface (GUI) in addition to the traditional command-line interface (CLI); see #User interfaces for details.
Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Additional plot options are included in brackets inside the plot command. To use the same options as in the above gnuplot example, add these lines to the end of the plot command: PostScript output: [gnuplot_term, ps] [gnuplot_ps_term_command, "set term postscript enhanced color solid lw 2 'Times-Roman' 20"] SVG output:
This example contains a division by zero; IDL will report an arithmetic overflow, and store a NaN value in the corresponding element of the y array (the first one), but the other array elements will be finite. The NaN is excluded from the visualization generated by the plot command.
gnuplot is a command-line and GUI program that can generate two- and three-dimensional plots of functions, data, and data fits. The program runs on all major computers and operating systems (Linux, Unix, Microsoft Windows, macOS, FreeDOS, and many others). [3]
This design demonstrates the Unix philosophy: defining the plot (graph) and drawing it (plot) are separate tools, so they can be recombined with other tools. For instance, plot can be substituted with a different utility, that accepts the same plot commands, but creates the plot in a graphics file format, or sends it to a plotter .
Run sequence plots [1] are an easy way to graphically summarize a univariate data set. A common assumption of univariate data sets is that they behave like: [2] random drawings; from a fixed distribution; with a common location; and; with a common scale. With run sequence plots, shifts in location and scale are typically quite evident.