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From: Martin M. <mmo...@fo...> - 2013-05-23 14:57:31
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Hi Chao,
I spent some time to figure out why I cannot replace ax1.hist() with ax1.scatter().
It seems hist() returns list of 'Rectangle' (sadly if there is just one, it does return
just the 'Rectangle' (not wrapped in a list) ... somewhere a trick
a = [a, ]
is likely needed.
Anyway, my problem is that scatter() returns 'PathCollection' object, whatever that is.
How can I grab handles to individual legend items to move them under ax2 like in your
hist-plot example?
Thank you for your help,
Martin
ChaoYue wrote:
> Dear Martin,
>
> I worked out a similar example for your reference as I don't catch your example very well.
>
> fig = plt.figure()
> ax1 = fig.add_subplot(211)
> ax2 = fig.add_subplot(212)
> arrlist = [np.random.normal(size=100) for i in range(50)]
> ret = ax1.hist(arrlist,histtype='barstacked')
> reclist = [patchlist[0] for patchlist in ret[2]]
> labellist = ['data'+str(i) for i in range(50)]
> ax2.legend(reclist,labellist,loc='upper left',bbox_to_anchor=(0,0,1,1),borderaxespad=0.,ncol=5,mode='expand')
> ax2.set_frame_on(False)
> ax2.tick_params(bottom='off',left='off',right='off',top='off')
> plt.setp(ax2.get_yticklabels(),visible=False)
> plt.setp(ax2.get_xticklabels(),visible=False)
>
>
> you're asking some object-oriented way, I personally don't think using pylab and set_tight_layout are the good way
> to be "object-oriented" as pylab is only a bounding wrapper by my understanding (maybe I am wrong!). legend and
> hist are all matplotlib.axes.Axes method.
>
> Also, I think it's unrealistic to ask the figure do a nice job for you if there are 50 legned handlers and you want to show
> them in 2 columns with a very high width/height ratio of the figure....
>
> hope it could be of a bit help,
>
> cheers,
>
> Chao
>
>
> On Mon, May 20, 2013 at 6:43 PM, Martin Mokrejs [via matplotlib] <[hidden email] </user/SendEmail.jtp?type=node&node=41102&i=0>> wrote:
>
> Hi Ben,
>
> Benjamin Root wrote:
>
> >
> >
> >
> > On Mon, May 20, 2013 at 12:02 PM, Martin Mokrejs <[hidden email] <http://user/SendEmail.jtp?type=node&node=41090&i=0> <mailto:[hidden email] <http://user/SendEmail.jtp?type=node&node=41090&i=1>>> wrote:
> >
> > Hi,
> > I am having trouble to get space allocated for a long legend text,
> > lets say spanning 2/3 - 3/4 of the whole output. I would like to have
> > stacked barchart as 1st subplot and the place of remaining 3 subplots
> > to be actually allocated by the legend. Alternatively, could I get the
> > legend saved into a separate figure?
> >
> > Or could the space for legend text be allocated automatically minimizing
> > output figure size? For example, the width would be 1120px while height
> > be multiples of 840px (840 for each subplot)?
> >
> > Attached is a quick example. It shows also that I tried tight_layout()
> > but wasn't successful with this either. I would be glad for some help,
> > ideally converting the whole thing into an object-oriented approach.
> > I am generating several figures in a row and would like to clear()/del()
> > any previously used data ASAP.
> >
> >
> > Thank you,
> > Martin
> > Am using mpl-1.2.2
> >
> >
> > Try "fig.savefig('foobar.png', bbox_inches='tight')" when saving the
> > image. It will make the figure size such that all the visible
> > elements of the figure will fit into the saved output. tight_layout()
> > is meant to make sure the elements don't overlap each other, but does
> > nothing about making sure nothing gets clipped.
> Ah, would be nice to make this clear in the docs. So far was doing
>
>
> import pylab
> F = pylab.gcf()
> F.set_tight_layout(True)
>
> which as you say does not help the way I thought.
>
>
> Unfortunately, while
>
> fig.savefig('foobar.png', bbox_inches='tight')
>
> helped to get everything into the .png file (attached), the barchart itself
> should span according to the code I posted just 1/2 of the figure. But somehow
> it is enlarged and rescaled so that it occupies *more than* 1/2 of the figure.
> What in pylab is resizing my image? Note: the final image is 625x1075.
>
> Martin
>
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> *foobar.png* (132K) Download Attachment <http://matplotlib.1069221.n5.nabble.com/attachment/41090/0/foobar.png>
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