Sorry, had forgot to reply all:
Thanks Joe, that's perfect. I appreciate the tip, as I would not have
realized I needed a PathCollection for lines and curves. PS, do you know
if it is possible to have a background image behind a plot of patches? I
know it's doable for scatter, but hadn't seen a
On Tue, Jan 7, 2014 at 2:29 PM, Adam Hughes wrote:
> Sorry, quick followup. I did find the gallery example to plot multiple
> patches together:
>
> http://matplotlib.org/examples/api/patch_collection.html
>
> That's excellent. Now I guess my question is how best to generalize the
> process of t
Adam,
Not sure if this is the try you're trying to bark up, but I've used a total
hack to do what I think you're describing:
1) store lists of coordinate pairs in a pandas DataFrame
2) use df.apply() to turn each list of coords in to a patch and add to an
axes object
I'm sure you know this, but
Sorry, quick followup. I did find the gallery example to plot multiple
patches together:
http://matplotlib.org/examples/api/patch_collection.html
That's excellent. Now I guess my question is how best to generalize the
process of turning my objects into patches. I think I will just try to
keep
Hi,
I am working on a library for image analysis which stores particles as
indexed numpy arrays and provides functionality for managing the particles
beyond merely image masking or altering the arrays directly. I've already
designed classes for many common shapes including Lines/Curves,
Circles/E
On 07.01.2014 18:18, Fabrice Silva wrote:
> Le mardi 07 janvier 2014 à 17:57 +0100, V. Armando Sole a écrit :
>> > What about using axvline with the picker argument?
>> > see http://matplotlib.org/users/event_handling.html
>> >
>>
>> I think axvline is part of the pyplot interface that I am not u
Le mardi 07 janvier 2014 à 17:57 +0100, V. Armando Sole a écrit :
> > What about using axvline with the picker argument?
> > see http://matplotlib.org/users/event_handling.html
> >
>
> I think axvline is part of the pyplot interface that I am not using.
>
> However your link is going to help me a
> I believe (as of v1.3.1) that after you create the legend you call
> leg.draggable(True)
> http://matplotlib.org/api/legend_api.html#matplotlib.legend.Legend.draggable
Outstanding! (Google was not my friend here. I wasn't searching for
"draggable.")
Skip
---
On 07.01.2014 16:27, Fabrice Silva wrote:
> Le mardi 07 janvier 2014 à 15:19 +0100, "V. Armando Solé" a écrit :
>> Hello,
>>
>> I am trying to add some vertical lines into a matplotlib figure
>> axes.
>>
>> The idea is to detect when the mouse passes over those lines in
>> order to
>> displace
I believe (as of v1.3.1) that after you create the legend you call
leg.draggable(True)
http://matplotlib.org/api/legend_api.html#matplotlib.legend.Legend.draggable
On Tue, Jan 7, 2014 at 6:37 AM, Skip Montanaro wrote:
> Sometimes the legend simply gets in the way. You can't always guess
> the
Le mardi 07 janvier 2014 à 15:19 +0100, "V. Armando Solé" a écrit :
> Hello,
>
> I am trying to add some vertical lines into a matplotlib figure axes.
>
> The idea is to detect when the mouse passes over those lines in order to
> displace them following the mouse if the left button is pressed.
>
Sometimes the legend simply gets in the way. You can't always guess
the correct placement (think generic tool which processes lots of
different input data sets), or zooming/panning makes it obscure a
chunk of the plot you want to look at. Is it possible to move it
interactively? I'm using mpl 1.3.1
Hello,
I am trying to add some vertical lines into a matplotlib figure axes.
The idea is to detect when the mouse passes over those lines in order to
displace them following the mouse if the left button is pressed.
I need some help to know the simplest way to proceed. Currently I am
looking in
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