/usr/share/doc/pyxplot/html/sect0002.html is in pyxplot-doc 0.9.2-4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta name="generator" content="plasTeX" />
<meta content="text/html; charset=utf-8" http-equiv="content-type" />
<title>PyXPlot Users' Guide: What is Pyxplot?</title>
<link href="sect0003.html" title="Compatibility with gnuplot" rel="next" />
<link href="ch-introduction.html" title="Introduction" rel="prev" />
<link href="ch-introduction.html" title="Introduction" rel="up" />
<link rel="stylesheet" href="styles/styles.css" />
</head>
<body>
<div class="navigation">
<table cellspacing="2" cellpadding="0" width="100%">
<tr>
<td><a href="ch-introduction.html" title="Introduction"><img alt="Previous: Introduction" border="0" src="icons/previous.gif" width="32" height="32" /></a></td>
<td><a href="ch-introduction.html" title="Introduction"><img alt="Up: Introduction" border="0" src="icons/up.gif" width="32" height="32" /></a></td>
<td><a href="sect0003.html" title="Compatibility with gnuplot"><img alt="Next: Compatibility with gnuplot" border="0" src="icons/next.gif" width="32" height="32" /></a></td>
<td class="navtitle" align="center">PyXPlot Users' Guide</td>
<td><a href="index.html" title="Table of Contents"><img border="0" alt="" src="icons/contents.gif" width="32" height="32" /></a></td>
<td><a href="sect0288.html" title="Index"><img border="0" alt="" src="icons/index.gif" width="32" height="32" /></a></td>
<td><img border="0" alt="" src="icons/blank.gif" width="32" height="32" /></td>
</tr>
</table>
</div>
<div class="breadcrumbs">
<span>
<span>
<a href="index.html">PyXPlot Users' Guide</a> <b>:</b>
</span>
</span><span>
<span>
<a href="sect0001.html">Introduction to PyXPlot</a> <b>:</b>
</span>
</span><span>
<span>
<a href="ch-introduction.html">Introduction</a> <b>:</b>
</span>
</span><span>
<span>
<b class="current">What is Pyxplot?</b>
</span>
</span>
<hr />
</div>
<div><h1 id="a0000000003">1.1 What is Pyxplot?</h1>
<p>Pyxplot is a multi-purpose graph plotting tool, scientific scripting language, vector graphics suite, and data processing package. Its interface is designed to make common tasks – e.g., plotting labelled graphs of data – accessible via short, simple, intuitive commands. </p><p>But these commands also take many optional settings, allowing their output to be fine-tuned into styles appropriate for printed publications, talks or websites. Pyxplot is simple enough to be used without prior programming experience, but powerful enough that programmers can extensively configure and script it. </p><p><b class="bf">A scientific scripting language</b> </p><p>Pyxplot doesn’t just plot graphs. It’s a scripting language in which variables can have physical units. Calculations automatically return results in an appropriate unit, whether that be kilograms, joules or lightyears. Data files can be converted straightforwardly from one set of units to another. Meanwhile Pyxplot has all the other features of a scripting language: flow control and branching, string manipulation, complex data types, an object-oriented class structure and straightforward file I/O. It also supports vector and matrix algebra, can integrate or differentiate expressions, and can numerically solve systems of equations. </p><p><b class="bf">A vector graphics suite</b> </p><p>The graphical canvas isn’t just for plotting graphs on. Circles, polygons and ellipses can be drawn to build vector graphics. Colors are a native object type for easy customisation. For the mathematically minded, Pyxplot’s canvas interfaces cleanly with its vector math environment, so that geometric construction is easy. </p><p><b class="bf">A data processing package</b> </p><p>Pyxplot can interpolate data, find best-fit lines, and compile histograms. It can Fourier transform data, calculate statistics, and output results to new data files. Where fine control is needed, custom code can be used to process every data point in a file. </p></div>
<div class="navigation">
<table cellspacing="2" cellpadding="0" width="100%">
<tr>
<td><a href="ch-introduction.html" title="Introduction"><img alt="Previous: Introduction" border="0" src="icons/previous.gif" width="32" height="32" /></a></td>
<td><a href="ch-introduction.html" title="Introduction"><img alt="Up: Introduction" border="0" src="icons/up.gif" width="32" height="32" /></a></td>
<td><a href="sect0003.html" title="Compatibility with gnuplot"><img alt="Next: Compatibility with gnuplot" border="0" src="icons/next.gif" width="32" height="32" /></a></td>
<td class="navtitle" align="center">PyXPlot Users' Guide</td>
<td><a href="index.html" title="Table of Contents"><img border="0" alt="" src="icons/contents.gif" width="32" height="32" /></a></td>
<td><a href="sect0288.html" title="Index"><img border="0" alt="" src="icons/index.gif" width="32" height="32" /></a></td>
<td><img border="0" alt="" src="icons/blank.gif" width="32" height="32" /></td>
</tr>
</table>
</div>
<script language="javascript" src="icons/imgadjust.js" type="text/javascript"></script>
</body>
</html>
|