Wed, 27 Feb 2008 16:00:00 GMT Gnuplot can generate sophisticated graphs and output them in vector or bitmap image formats. It can produce many graph types, and you can customize the way the output will look to a great extent. But the customizability of gnuplot can work against it when all you want a simple line graph comparing two series of data points. In those cases, gplot lets you use gnuplot to create simple graphs using more semantic options to customize the appearance of common graph objects.
Let me start by saying I'm new to gnuplot and not very good at unix at all..
Anyway, I'm each minute measuring temperature and humidity and saves the last 60 readings along with time in a textfile, values_minute.
The contents of the file is formatted like this: time temperature humidity
... (8 Replies)
For example, I have a file called data.txt. And the content is:
Iker_Casillas 181
Raphael_Varane 182
Sergio_Ramos 182May I know how to write a script for gnuplot, so I can have a bar graph as the column 1 will be the x and column 2 will be the y? And I hope that the x value can be seen clearly.... (0 Replies)
Hi,
I'm not able to find a solution because I cant find the exact keyword for this.
I wanna make a graph like ive shown in the attachment.
Could someone please share ideas on how to do this.
Thanks! (3 Replies)
Hi,
i would like to change color depending from the valuerange.
a gnuplot-script will generate a multiplot and in one graph,
the ranges should have different colors, e.g.
100 ... 133 --> red
200 ... 233 --> blue
300 ... 333 --> orange
400 ... 433 --> green
#Partikeldata - Partikel... (1 Reply)
Hello all
I searched the net but didn't found any application that wrap ssh connection with GUI interface so that non techie
people can connect to unix/linux accounts and work with files , so it will looks like there familiar Microsoft windows directory structure .
Please don't answer with ..... (6 Replies)
PYXPLOT(1) General Commands Manual PYXPLOT(1)NAME
pyxplot - a commandline data processing, graph plotting, and vector graphics suite.
SYNOPSIS
pyxplot [file ...]
DESCRIPTION
PyXPlot is a multi-purpose command-line tool for performing simple data processing and for producing graphs and vector graphics. The cen-
tral philosophy of PyXPlot's interface is that common tasks -- for example, plotting labelled graphs of data -- should be accessible via
short, simple and intuitive commands which require minimal typing to produce a first draft result. At the same time, these commands also
take a sufficient range of optional arguments and settings to allow these figures to be subsequently fine-tuned into a wide range of dif-
ferent styles, appropriate for inclusion in reports, talks or academic journals.
As well as being a graph-plotting package, PyXPlot also has facilities for fitting mathematical functions to data, for numerically solving
simple systems of equations, and for converting datafiles between different formats. Its mathematical environment can interpolate datasets,
integrate and differentiate them, and take Fourier transforms. PyXPlot's ability to keep track of the physical units in which data are
expressed, and to convert data between different units of measurement, mean that it can be used as a powerful desktop calculator.
PyXPlot's interface bears some striking similarities to that of Gnuplot. Specifically, the commands used for plotting simple graphs in the
two programs are virtually identical, though the syntax used for more advanced plotting often differs and PyXPlot's mathematical environ-
ment is hugely extended over that of Gnuplot. This means that Gnuplot users will have a head start with PyXPlot: simple Gnuplot scripts
will often run in PyXPlot with minimal modification.
A number of examples of the graphical output which PyXPlot can produce may be found on the PyXPlot website: <http://www.pyxplot.org.uk/>.
Full documentation can be found in: /usr/share/doc/pyxplot/pyxplot.pdf
COMMAND LINE OPTIONS -h, --help: Display this help.
-v, --version: Display version number.
-q, --quiet: Turn off initial welcome message.
-V, --verbose: Turn on initial welcome message.
-c, --colour: Use coloured highlighting of output.
-m, --monochrome: Turn off coloured highlighting.
AUTHORS
Dominic Ford, Ross Church and Zoltan Voros <coders@pyxplot.org.uk>
CREDITS
Thanks to Dave Ansell, Rachel Holdforth, Stuart Prescott, Michael Rutter and Matthew Smith, all of whom have made substantial contributions
to the development of PyXPlot.
SEE ALSO pyxplot_watch(1),gnuplot(1)PYXPLOT(1)