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Chao,

From your description, it is clear that you are using a very customized application of axes placement and design.  The only method that I see for replacing your current setup with Subplots (I use the upper case to denote the instances of the class, which do respond to the left/right/wspace parameters) is the following (untested):
{{{
fig,axs = plt.subplots(2,3)
for i,ax in enumerate(axs.flat):
    
    ax.plot(time,data)
    ymin,ymax = ax.get_ylim()
    ax.set_ylim(ymin=ymin,ymax=ymin+2*(ymax-ymin))
    labels = ax.get_yticklabels()
    for l in labels:
        if float(l.get_text()) > ymax:
            l.set_visible(False)
    ax2 = ax.twinx()
    ymin,ymax = ax2.get_ylim()
    ax2.set_ylim(ymin=ymax-2*(ymax-ymin),ymax=ymax)
    labels = ax2.get_yticklabels()
    for l in labels:
        if float(l.get_text()) < ymin:
            l.set_visible(False)
    
}}}    

Some of this is inspired by http://matplotlib.org/examples/api/two_scales.html and similar examples/applications.

Hope that helps,
Sterling

On Jul 27, 2013, at 6:10AM, ChaoYue wrote:

> Hi, thanks.
> 
> the attached is what I achieved so far. Looks quite nice.
> 
> each subplot visible now actually contains two mat.axes.Axes object (with bottom and top spines invisible)
> which is created by using the fig.add_axes, before the place occupied by the two axes now is actually
> only one single subplot ojbect, which is created by using fig,axs = plt.subplots(2,3). something like this:
> 
> for ax in axs.flatten():
>      #some way to find the position of the two new axes
>      sub1 = fig.add_axes(....)
>      sub2 = fig.add_axes(....)
>      fig.delaxes(ax)
> 
> Now the problem is that all the original subplots have been removed, replaced by 2X6 mat.axes.Axes,
> But they don't respond to any operation in the interacitve window (like, you can use your mouse to select
> the left/righ/wspace etc....)
> 
> I hope I am clear. thanks!
> 
> cheers,
> 
> Chao
> 
> On Fri, Jul 26, 2013 at 5:55 PM, Sterling Smith [via matplotlib] <[hidden email]> wrote:
> Chao, 
> 
> You are right, fig.add_subplot does not support precise positioning.  Why don't you send a picture of a sample layout you have obtained with add_axes? 
> 
> -Sterling 
> 
> On Jul 26, 2013, at 1:26AM, ChaoYue wrote: 
> 
> > Dear Sterling, 
> > 
> > thanks for your answer. The idea is that I would like to add a subplot with precise position, as in the method of fig.add_axes? 
> > Does fig.add_subplot support this, I tried fig.add_subplot(position=(0.2,0.2,0.1,0.1)) but it does not work... 
> > 
> > thanks! 
> > 
> > Chao 
> > 
> > On Thu, Jul 25, 2013 at 8:09 PM, Sterling Smith [via matplotlib] <[hidden email]> wrote:
> 
> > Chao, 
> > 
> > plt.subplots returns a figure instance.  Can you use the add_subplot method of that figure instance to make your new axes?  If so, then I think that they should respond to the new requests for left/right/bottom/wspace space. 
> > 
> > -Sterling 
> > 
> > On Jul 25, 2013, at 10:06AM, Chao YUE wrote: 
> > 
> > > Dear all, 
> > > 
> > > First I make some subplots using the plt.subplots command, 
> > > then I use mat.figure.Figure.delaxes to delete the axes, and add some small new ones 
> > > in the same space by using mat.figure.Figure.add_axes, but I find after rendering the 
> > > figure in the interative window, I cannot adjust the left/right/bottom/wspace etc in a 
> > > interactive way, the old subplots that are generated using plt.subplots command will 
> > > move, and the new ones generated using mat.figure.Figure.add_axes just don't 
> > > move at all, so what should I do if I want the new ones also move? Because 
> > > the interative window is really useful when you want to have figures quickly. 
> > > 
> > > thanks a lot for any hints. 
> > > 
> > > cheers, 
> > > 
> > > Chao 
> > > 
> > > -- 
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> > -- 
> > *********************************************************************************** 
> > Chao YUE 
> > Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) 
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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
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Currently, one call figures with their number in matplotlib.
If you have a code which draw a lot a different figures at different places
with some of them being optional, this is not very convenient.

One convenient way to call figure would be to use a dictionnary of figures.
Of course I could create some wrapper around matplotlib.figure function but
it would be far more convenient if such feature would be standard in
matplotlib.

Is there any plan to implement such a feature?

Best regards,

Frédéric Parrenin