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Releases
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27 Mars 2004: py4dat_0.4 :
maintenance release.
24 June 2003 :py4dat_0.3 :
Changing pens and labels made easy. Serialisation works fine for
graphics objects and data ones : they are connected correctly
when
reloaded. Locally defined functions are marshalled.. |
(read more..) |
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CVS News |
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11/6/2003 improved serialisation....
Once you have installed a
Py4dat release, you can update it with the latest features from CVS
repository. Click here to read more ....
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The
Py4dat/PyDVT Home Page
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Introduction |
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PyDVT is a set of powerful data visualisation widgets, and data
abstraction frameworks written by Alexandre Gobbo during a short stay
at
ESRF. The original PyDVT home pages
are
accessible on the ESRF web pages.
There you will find a lot of good documentation for using PyDVT in your
applications. You will also find the original packages, availables for
many platforms.
Py4dat is an application built on PyDVT that allows data manipulation.
It has also a window, called MLab, where you have a sort of python
shell
by which you can interact with py4dat from the command line. You
can, by this mean, import whatever python module you want, manipulate
data, write formulas, functions, execute them to operate on datas, and
display graphically data in many formats. You can download this package
from the pydvt
project pages at
sf.net.
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Installation of Py4dat
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If you are not interested with the MLab
fonctionalities fo Py4dat you can grab the PyDVT packages from its
original location on the
ESRF web page
Otherwise for Linux (python2.2, pyqt, pyqwt, qt3.xx, Numeric,
PIL) :
just grab the latest version of the py4dat package archive at sourceforge.net . It
contains both PyDVT widgets and the Py4dat project.
Untar the archive. The launching script is Py4dat/WRAPPERS/py4dat.
You have to edit such script and change the variable
PACKAGE_HOME to reflect the actual location of the package.
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Demo
scripts for MLab
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The MLab plugins offer many fonctionalities, the documentation is not
rich, however a good way to familiarize with MLab is to try these demos
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These demo are runned copying and pasting their contents in the MLab
window. You can run the demo line by line
by pressing simultaneaously <Shift>+<Enter> when the cursor
is on the line, or a whole set of selected lines always by
pressing <Shift>+<Enter>.
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COPYRIGHT
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ESRF Licence.... read
more....
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