No offense, but it really is outdated. Consider that it'll take two years to do 
the writing and the lecture work the research material is form 2007 to 2008. We 
now are in 2015. As you can tell from other books which have been published 
between 2013 and a really helpy book from March, 24th 2015 (yes, Benjamin Root 
wrote it), even they don't cover latest enhancements up to six month before 
print, (which might be seen a reasonable since changing is easy in a digitized 
world like ours). 
A good tutorial for the once, who do not have much experience in this field (I 
count myself in with the just one and a half year of experience in gui 
programming) is two things, actual up to six month to a year and straight 
forward, meaning It tells you what to do and doesn't bother you with design 
thoughts, API explanations nor tries to teach you programming. 
I have that book in my possession, but it didn't turn out to be helpful if you 
do not have the time do read it in whole. If you have the time to spin freely, 
you still will have conquered 80% by yourself and because it is still outdated 
for pyhton3 and matplotlib 1.4.3 the use is questionable.
cheers,Christian
 --
"A little learning never caused anyone's head to explode!"

"Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht!" 


     On Wednesday, April 15, 2015 3:44 AM, Chris O'Halloran <cmo...@gmail.com> 
wrote:
   

 Can I recommend this book.  It was very helpful to me in figuring much of this 
out.

https://www.packtpub.com/application-development/matplotlib-python-developers

On 14 April 2015 at 18:14, Christian Ambros <ambr...@ymail.com> wrote:

Hi Ryan,
wow! This tutorial is one of the best I ever encountered. Nothing is missing, 
nothing is cryptic or unclear. What I like best is, that it get's along without 
using Qt Designer plugins or something similar strange. It's a good basis to 
start. Maybe you should write a book, covering all the untold things one needs 
to solve problems like that. I browsed through plenty of books the last weeks 
and what really is missing, is a cookbook about Qt Designer, Glade and 
wxWidgets and how to fill it with python3 and it's lib's like matplotlib, 
pyqtgraph, numpy, sympy etc.
I would buy it right away!cheers,Christian
 --
"A little learning never caused anyone's head to explode!"

"Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht!" 


     On Friday, April 10, 2015 7:14 PM, Ryan Nelson <rnelsonc...@gmail.com> 
wrote:
   

 Christian,
As it turns out, I wrote a blog post (for my terrible blog) about using 
Designer to create a MPL based GUI 
(http://blog.rcnelson.com/building-a-matplotlib-gui-with-qt-designer-part-1/). 
I was going to write this up for the MPL docs... But it got really long (3 
parts), so I just used my personal site. It got so long because this was the 
second time I needed to figure this out, and I wanted to make a very detailed 
outline for my own future reference. Unfortunately, I don't have any experience 
with Qt5, but I imagine things are similar. I think they just rearranged the 
locations of some of the widgets, but I'd be curious to hear your experience. I 
gave up on PyQtdesignerplugins. I think it makes more sense to just use a 
generic widget as the MPL container. 
I would be very happy if you had comments for my Qt designer posts.
Ryan
On Wed, Apr 8, 2015 at 5:47 AM, Christian Ambros <ambr...@ymail.com> wrote:

Hi Ryan,
could you write down, as a tutorial, how you built the example with the qt 
designer?In the last hours I read all most everything what can be found on the 
issue of getting matplotlib running with pyqt5 and the designer but as you 
realized yourself, there is little to be found handy.
I'm stuck at a project, which has to use python3, and pyqt5 and am not allowed 
by my boss to fall back to pyqt4 or qt_compat. He wants to make sure that we 
use the latest revisions.
So I#m very pleased to read that someone already set food on this terrain. 
Qt5.4.1 is running and I installed PyQtdesingerplugins, in mind that they were 
written for PyQt4. Are they usable in 5? I added the env-variables to my 
bashrc, did get any changes shown in the designer. Of course I did a re-log-in 
to start fresh, but any changes were noteable.What possible ways of embedding 
matplotlib into a designer base pyqt5-gui else, are there?
cheers,Christian


 --
"A little learning never caused anyone's head to explode!"

"Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht!" 


     On Wednesday, February 18, 2015 11:59 PM, Ryan Nelson 
<rnelsonc...@gmail.com> wrote:
   

 Hello list,
A couple months ago, I spent quite a bit of time trying to figure out how to 
use Qt designer create a GUI with an embedded MPL window. Unfortunately, the 
Scipy cookbook page 
(http://wiki.scipy.org/Cookbook/Matplotlib/Qt_with_IPython_and_Designer) is 
very outdated. A recent post 
(http://matplotlib.1069221.n5.nabble.com/Re-Keep-list-of-figures-or-plots-and-flip-through-list-using-UI-td44961.html)
 brought up some questions about a use case very similar to mine, so I redid my 
example and was going to write a quick tutorial for the docs.
Unfortunately, I'm not a Qt guru, so I thought that I would ask on the list for 
some advice.  The OP and I were both interested in being able to have a list of 
figures that you could select from to change the plot window. The embedding 
examples in the docs create subclasses of FigureClass* and embed the plotting 
figure/axes/etc. This works but gets tricky, though, when trying to switch 
plots. Also, for interactive IPython work, I didn't like that the plotting 
objects were mixed in with all the QtGui.QWidget attributes, which makes 
introspective searching painful. My solution was to create a dictionary of 
matplotlib.figure.Figure objects that had all of the plotting stuff defined. 
Then when I select a new plot from the list, the old one is removed and a new 
FigureClass object is created using the selected Figure object. Has anyone else 
successfully done something like this? Is there a better way? Also, it seems if 
I zoom the current plot, change to a new plot, and change back, the zoom region 
is retained. Anyone know how to reset the zoom region?
Attached is my example: "window.py" is the Designer-created main window and 
"custommpl.py" is the subclass of the main window that I wrote. It's about as 
short as I could make it.

Thanks
Ryan


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