Hi Martin,
I don't know tight_layout quite well. Probably you could also split the
handlers of the barplot into
and 2 or 3 or 4 parts depending on the number, and then show them in
sperate axes?
then you create n+1 subplots for the whole figure?
probably this is quite stupid.
cheers,
Chao
On Wed, May 22, 2013 at 1:03 PM, Martin Mokrejs [via matplotlib] <
ml-node+s1069221n41104...@n5.nabble.com> wrote:
> Hi Chao,
>
> ChaoYue wrote:
> > Dear Martin,
> >
> > I worked out a similar example for your reference as I don't catch your
> example very well.
>
> I think you got the idea quite 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)
> >
>
> I added plt.show() and it demonstrates my problem: the legend is not
> complete in the
> figure. That is why I think I could instead use:
>
> import pylab as plt
> import numpy as np
>
> fig = plt.figure()
> DefaultSize = tuple(fig.get_size_inches())
> fig.set_size_inches(DefaultSize[0], 4*DefaultSize[1])
> ax1 = fig.add_subplot(411)
> ax2 = fig.add_subplot(412)
> 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)
> plt.show()
>
> But, this does not make the image 4* taller than I thought. But thank you
> for the example how to extract the legend of ax1 and place it under ax2.
>
>
>
> >
> > 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 legend handlers and you want to show them in 2
> > columns with a very high width/height ratio of the figure....
>
> The problem is that the data are calculated dynamically and sometimes
> I need to display data for 20 data types while sometimes for 200 data
> types (and for each I need a legend).
>
> I did not show that but I do calculate how many columns I could use
> legend display and pass that via pylab.legend(..., ncol= ). Of course
> at the same time I could calculate whether I will need 2 or 3 or 4
> subplots on the page (the first will be the barchart itself), the
> remaining space will be used by the long legend of subplot(211).
> I would hope that matplotlib does not mind that I actually issue any
> fig.add_subplot() foe the third or even fourth subplot at all. That
> would be just a trick to get more space for the legend. If I can live
> with just with subplot(211) and subplot(212)
>
> The fig.savefig('foobar.png', bbox_inches='tight') which Ben mentioned
> yesterday is nice but I want it to crop the image only vertically.
> An optional argument like:
> fig.savefig('foobar.png', bbox_inches='tight', keep_fig_width=True)
> would maybe do the job for me.
>
>
> What I still don't understand what is resizing the image in tight_layout.
> It doesn't seem to me that just the unused border space is chopped away.
> Fonts look different, ratio between x and y axes lengths seems different.
> Certainly not what I want.
>
>
> > hope it could be of a bit help,
>
> Sure, I am still learning to use matplotlib.
>
> Martin
>
> >
> > 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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> >
> >
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> >
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> > --
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> ***********************************************************************************
>
> > Chao YUE
> > Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
> > UMR 1572 CEA-CNRS-UVSQ
> > Batiment 712 - Pe 119
> > 91191 GIF Sur YVETTE Cedex
> > Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
> >
> ************************************************************************************
>
> >
> >
> ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> > View this message in context: Re: Making space for a long legend outside
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--
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************
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