matplotlib-users Mailing List for matplotlib

On Sat, Feb 8, 2014 at 10:48 AM, Alan G Isaac <ai...@am...> wrote:
> The documentation for FuncAnimation says
>
> http://matplotlib.org/api/animation_api.html#matplotlib.animation.FuncAnimation
>
> Makes an animation by repeatedly calling a function func,
> passing in (optional) arguments in fargs.
>
> frames can be a generator, an iterable, or a number of frames.
>
> I do not think FuncAnimation can be understood from this
> documentation. (At least, I did not understand it.)
> I think it should read:
>
> Makes an animation by repeatedly calling a function `func`,
> passing in a value from `frames` and any (optional) arguments in
> `fargs`.
>
> `frames` can be a generator, an iterable, or an integer number of
> frames.
> Passing `frames=n` for integer `n` is equivalent to passing
> `range(n)`.
>
> Does this seem correct?
>
> Thanks,
> Alan Isaac
>
> PS It would be nice if repeat accepted an integer number of repetitions.
>
That does sound correct to me. (I'll apologize for the broken English in
the docs).
Any chance you could file an issue, and maybe one on the repeat? (I agree
this would be nice to have).
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On Mon, Feb 24, 2014 at 2:44 PM, Derek Pyne <dp...@ba...> wrote:
> Does anyone know the preferred method for stopping FuncAnimation? I am
> using it to record data from a oscilloscope and woud like to be able to
> pause and restart the data on demand. Is there any way I can send a button
> click event to it?
>
There's an event_source() method that can be called to get the class that's
controlling when animation events get fired (usually a timer, but you can
provide custom ones). You should be able to call start() and stop() on it.
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On 2014年03月06日 4:18 AM, Asma Riyaz wrote:
> Hi,
>
> I am stuck at setting the color bar minimum and maximum values,
> according to what I found I need to set ticks to a numpy linspace array.
> Here is my code:
>
> *threshold=1.01
>
> fig = plt.figure(figsize=(25,25))
> plt.suptitle(file_handle.replace('.csv',''),fontsize=22)
> cmap.set_over('green')
> cmap.set_under('grey')
> gs=gridspec.GridSpec(1, 2,height_ratios=[1,1,-2,2]
> ,width_ratios=[2,1,-2,2],hspace=0,wspace=0)
>
> phyl_ax=plt.subplot(gs[0])
> ht_ax=plt.subplot(gs[1])
>
> ht_ax.set_xlim(34,0)
> ht_ax.set_ylim(34,0)
>
>
> cb_ax,kw =mpl.colorbar.make_axes(ht_ax, shrink=0.65)
>
> plt.setp(phyl_ax.get_xticklabels(),visible=False)
> plt.setp(phyl_ax.get_yticklabels(),visible=False)
> plt.setp(ht_ax.get_xticklabels(),visible=True)
> plt.setp(ht_ax.get_yticklabels(),visible=True)
> plt.setp(phyl_ax.get_xticklines(),visible=False)
> plt.setp(phyl_ax.get_yticklines(),visible=False)
> plt.setp(ht_ax.get_xticklines(),visible=True)
> plt.setp(ht_ax.get_yticklines(),visible=True)
>
>
> img =
> ht_ax.imshow(data,cmap=cmap,interpolation='none',vmin=-1.0,vmax=threshold,aspect='auto')
> v = np.linspace(-1.0, 1.0, 15, endpoint=True)
> cb =
> mpl.colorbar.ColorbarBase(ax=cb_ax,cmap=cmap,ticks=v,extend='neither',**kw)
> cb.cmap.set_over('green')
> img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
> phyl_ax.imshow(img,interpolation='bilinear',aspect='auto')
> *
>
Why are you using ColorbarBase instead of using fig.colorbar? By doing 
so, you are not getting the logic that ties the colorbar to the 
color-mapped object to which it applies.
Eric
> The problem that arises is that the color bar's extent always shows up
> from 0 to 1, though I set the ticks from -1 to 1?
> I also noticed that in a dataset where I have a negative value, the
> color bar still shows up as 0 to 1.
>
> Could anyone guide me? Appreciate your help!!
>
> Asma
>
>
>
>
>
>
>
>
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2014年03月05日 21:13 GMT+01:00 Adam Hughes <hug...@gm...>:
> Thanks Andreas. That is correct; however, I'd rather not make this change
> global. I only want a subset of my plots to have this behavior. I feel
> like changing the rcparams would change this globally and probably confuse
> users who don't know this is being called.
Try using rc_context:
with plt.rc_context(rc={'axes.color_cycle': ['orange', default_cycle[1::]]}):
 plt.plot(...)
This should change the color cycle only within the scope of the with
clause (not tested with this particular rcparam).
Goyo

I've seen examples for 2 axis using twinx, and examples using subplothost.
Any reason to choose one over the other?

Yes the interpolation had to be set to nearest or bicubic or bilinear for
it to function properly!!
Thanks a lot!!
Asma
On Thu, Mar 6, 2014 at 4:48 AM, Pierre Haessig <pie...@cr...>wrote:
> Le 05/03/2014 22:37, Asma Riyaz a écrit :
>
> img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
> phyl_ax.imshow(img,interpolation='nearest')
>
> Ok, so here you could try replace 'nearest' by 'bilinear' or 'bicubic'. I
> believe those are the most common choices for image resampling (because
> when you plot an image and then save it, there is a resampling involved).
> (http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow for
> the other options)
>
> Of course, it's also worth playing the dpi argument of savefig, as
> suggested by Eric.
>
> best,
> Pierre
>
>
> ------------------------------------------------------------------------------
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> Perforce.
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> Faster operations. Version large binaries. Built-in WAN optimization and
> the
> freedom to use Git, Perforce or both. Make the move to Perforce.
>
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>
>

Hi,
I am stuck at setting the color bar minimum and maximum values, according
to what I found I need to set ticks to a numpy linspace array. Here is my
code:
* threshold=1.01 fig = plt.figure(figsize=(25,25))
plt.suptitle(file_handle.replace('.csv',''),fontsize=22)
cmap.set_over('green') cmap.set_under('grey') gs=gridspec.GridSpec(1,
2,height_ratios=[1,1,-2,2] ,width_ratios=[2,1,-2,2],hspace=0,wspace=0)
phyl_ax=plt.subplot(gs[0]) ht_ax=plt.subplot(gs[1])
ht_ax.set_xlim(34,0) ht_ax.set_ylim(34,0) cb_ax,kw
=mpl.colorbar.make_axes(ht_ax, shrink=0.65)
plt.setp(phyl_ax.get_xticklabels(),visible=False)
plt.setp(phyl_ax.get_yticklabels(),visible=False)
plt.setp(ht_ax.get_xticklabels(),visible=True)
plt.setp(ht_ax.get_yticklabels(),visible=True)
plt.setp(phyl_ax.get_xticklines(),visible=False)
plt.setp(phyl_ax.get_yticklines(),visible=False)
plt.setp(ht_ax.get_xticklines(),visible=True)
plt.setp(ht_ax.get_yticklines(),visible=True) img =
ht_ax.imshow(data,cmap=cmap,interpolation='none',vmin=-1.0,vmax=threshold,aspect='auto')
v = np.linspace(-1.0, 1.0, 15, endpoint=True) cb =
mpl.colorbar.ColorbarBase(ax=cb_ax,cmap=cmap,ticks=v,extend='neither',**kw)
cb.cmap.set_over('green') img=
mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
phyl_ax.imshow(img,interpolation='bilinear',aspect='auto')*
The problem that arises is that the color bar's extent always shows up from
0 to 1, though I set the ticks from -1 to 1?
I also noticed that in a dataset where I have a negative value, the color
bar still shows up as 0 to 1.
Could anyone guide me? Appreciate your help!!
Asma

Le 05/03/2014 22:37, Asma Riyaz a écrit :
> img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
> phyl_ax.imshow(img,interpolation='nearest')
Ok, so here you could try replace 'nearest' by 'bilinear' or 'bicubic'.
I believe those are the most common choices for image resampling
(because when you plot an image and then save it, there is a resampling
involved).
(http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow for
the other options)
Of course, it's also worth playing the dpi argument of savefig, as
suggested by Eric.
best,
Pierre