[IPython-dev] manipulating inline plots with widgets
Zoltán Vörös
zvoros at gmail.com
Wed Jan 29 15:17:41 EST 2014
Hi all,
First off, the new widget machinery is really exciting, I believe, it
opens an entirely new dimension of user experience. Many thanks to all
who have put in hard work to make this happen.
I have been playing around with a couple of gadgets, and in particular,
I wanted to manipulate plots using the slider. The following works with
the qt4 matplotlib backend (I guess, it would work with other backends,
but that's off the point):
In[48]: def on_value_change(name, value):
x = linspace(0, value, 100)
plot(x, sin(x))
In[49]: fig, ax = subplots(1)
m1 = widgets.FloatSliderWidget()
m1.on_trait_change(on_value_change, 'value')
ax.plot(x, sin(x))
m1
However, I was wondering, whether there is a way of doing the same in
the notebook. I have tried to pass ax as the keyword argument in the
constructor of m1, but that doesn't seem to produce the desired results.
Could someone comment on this?
Another issue I have noticed is that if the widgets are inserted in the
notebook, it results in an erratic behaviour of the code cell. So, e.g.,
if I press Cntr-Enter on input line 49, and then pull the slider, and
then click on ax.plot(x, sin(x)) with the mouse, the border of the cell
becomes green, so I would assume that one can edit the cell at that
point. But what happens instead is that the shortkeys bound to the
inactive cell are invoked. So, if I press a, then a new code cell will
be inserted above. The issue goes away, if I click on the cell once
more. This behaviour I noticed on chrome v31. I can try other browsers,
if that helps.
Thanks,
Zoltán
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