PyVideo.org - visualpythonhttps://pyvideo.org/2009-11-07T00:00:00+00:00Guy Kloss - Python Data Plotting and Visualisation Extravaganza2009-11-07T00:00:00+00:002009-11-07T00:00:00+00:00Guy Klosstag:pyvideo.org,2009-11-07:/kiwi-pycon-2009/guy-kloss---python-data-plotting-and-visualisatio.html<h3>Description</h3><p>Python Data Plotting and Visualization Extravaganza</p>
<p>Presented by Guy Kloss</p>
<p>Abstract</p>
<p>In various fields data is accumulated or produced. This can be
observation data, statistical data, simulation data, ... Information
like that can in many cases be much more easily analysed through the
user's eyes employing data visualisation. This talk …</p><h3>Description</h3><p>Python Data Plotting and Visualization Extravaganza</p>
<p>Presented by Guy Kloss</p>
<p>Abstract</p>
<p>In various fields data is accumulated or produced. This can be
observation data, statistical data, simulation data, ... Information
like that can in many cases be much more easily analysed through the
user's eyes employing data visualisation. This talk is trying to dive
briefly into various means and tools to visually analyse data of
different qualities: time series, simple 2D plots, surface plots, volume
plots, quiver plots, etc.</p>
<p>Outline</p>
<p>I am planning on doing a "fly by" through the world of data
visualisation for different types of data using different tools. Types
of data:</p>
<ul class="simple">
<li>1D data and simple functions</li>
<li>2D data for surface plots</li>
<li>3D data through quiver plots, iso surfaces, and cutting planes</li>
<li>n-D data through different means</li>
<li>continuous and non-continuously structured data</li>
<li>time series</li>
<li>real time data visualisation/analysis</li>
</ul>
<p>The tools that will probably appear in the demos and discussions:</p>
<ul class="simple">
<li>GNUplot</li>
<li>matplotlib</li>
<li>Mayavi2</li>
<li>Visual Python</li>
</ul>
<p>[VIDEO HAS ISSUES: Sound and video are poor. Slides are hard to read.]</p>