matplotlib-users Mailing List for matplotlib

dear all,

I want to build a 5X3 subplots matrix that I want the xaxis is shared only
on the same column and yaxis shared only on the same row.
While using plt.subplots(5,3,sharex=True, sharey=True) will put all
subplots as both shared xaxis and yaxis.

The other option is to do like this to create 2X2 subplots with desired
feature, Yet I guess doing the same for 5X3 subplots could be tedious?
Does anyone has some idea?
 fig=figure()
ax1=fig.add_subplot(221)
ax2=fig.add_subplot(222,sharey=ax1)
ax3=fig.add_subplot(223,sharex=ax1)
ax4=fig.add_subplot(224,sharex=ax2,sharey=ax3)

Thanks a lot et cheers,

Chao

-- 
***********************************************************************************
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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On Fri, Jul 6, 2012 at 2:36 PM, Saurav Pathak <sa...@sa...> wrote:

> Hi,
>
> I would often save figures after show() from the savefig button on the
> navigation toolbar.  I would like to trim white spaces using something
> akin to bbox_inches='tight', but haven't been able to figure out how.  I
> tried adding the following to matplotlibrc, but to no avail:
>
> savefig.bbox_inches : tight
>
> The error message is that savefig.bbox_inches is a bad key
>
> Could someone let me know how to do this, if it can be done?  I am using
> Matplotlib 1.1.0
>
> Thanks,
> Saurav
>
>
Saurav,

Currently, there is no way to do what you want in v1.1.x.  However, I do
think it is a reasonable feature request and you should file an issue
ticket on the github website.

Cheers!
Ben Root

Saurav Pathak:
> I would often save figures after show() from the savefig button on the
> navigation toolbar.  I would like to trim white spaces using something
> akin to bbox_inches='tight', but haven't been able to figure out how.  I
> tried adding the following to matplotlibrc, but to no avail.
Adjust the position of your 'axes' rectangle, e. g.

from pylab import *
x=linspace(0,4*pi,500); y=sin(x)
*axes([0.05,0.05,0.93,0.92])*
plot(x,y); show()

the details will depend on the size of your labels.

==

Jerzy Karczmarczuk

Hi,

I would often save figures after show() from the savefig button on the 
navigation toolbar.  I would like to trim white spaces using something 
akin to bbox_inches='tight', but haven't been able to figure out how.  I 
tried adding the following to matplotlibrc, but to no avail:

savefig.bbox_inches : tight

The error message is that savefig.bbox_inches is a bad key

Could someone let me know how to do this, if it can be done?  I am using 
Matplotlib 1.1.0

Thanks,
Saurav

On Wed, Jul 4, 2012 at 3:15 AM, <Jea...@hz...> wrote:

> Hi Ben,
>
> thanks for the tip!
> I nevertheless hit another snag:
> In [12]: [(k,p.rcParams[k]) for k in p.rcParams.keys() if 'keymap' in k]
> Out[12]:
> [('keymap.all_axes', ['a']),
>  ('keymap.back', ['left', 'c', 'backspace']),
>  ('keymap.forward', ['right', 'v']),
>  ('keymap.fullscreen', ['f']),
>  ('keymap.grid', ['g']),
>  ('keymap.home', ['h', 'r', 'home']),
>  ('keymap.pan', ['p']),
>  ('keymap.save', ['s']),
>  ('keymap.xscale', ['k', 'L']),
>  ('keymap.yscale', ['l']),
>  ('keymap.zoom', ['o'])]
>
>
> Meaning that up and down ar not in the mapping... Any clue?
> Thanks again
> Cheers
> JF
>
>
Right, I forgot about that.  I am trying to dig through my code to figure
out what I did to make this problem go away.  In the meantime, does hitting
"ESC" at least get you around the problem?

Ben Root

Hi all,

I am currently trying to use matplotlib with wxPython and all is going well except for one annoying issue that I can't figure out. 

I initialize a wxcanvas object with a figure and then throughout the life of the program I want the canvas' figure to change and display the corresponding plot. I can get the change of figure, but when the program goes to plot, the figure isn't the right size. It changes to the right size only when I manually resize the figure (see attached images). Is there some command that I am missing? This is the update sequence I am using:

self.figure = figure
        
        self.canvas.figure.clear()
        self.canvas.figure = self.figure
        self.canvas.draw()
        self.color_background()
        
        #self.GetParent().Layout()
        #self.SetSizer(self.main_sizer)
        #self.Fit()
        self.SendSizeEvent()

As you can tell from the comments (there are more in my code), I have tried a variety of ways to update the figure off the bat.

Thanks!

Josh

Hi everybody,

The following is a small test yielding a segmentation fault with PySide, but 
not with PyQt4.

To test with PyQt4, use:
$ python example.py

To test with PySide:
$ python example.py pyside

With PySide, a segmentation fault appears as soon as the mouse cursor is 
hovering the plot area. Without the NavigationToolbar (try to comment the 
corresponding lines), the problem does not appear. It may be related to the 
display of mouse coordinates in the NavigationToolbar, because when the mouse 
is hovering the NavigationToolbar, no segfault appears.

These are the versions of Qt, PySide, and Matplotlib on my machine:
>>> from PySide import QtCore
>>> QtCore.qVersion()
'4.8.1'
>>> from PySide import __version__
>>> __version__
'1.1.0'
>>> import matplotlib
>>> matplotlib.__version__
'1.1.1rc'

Is this a bug? If yes, does any workaround exist?

Thanks in advance,

TP

###########     example.py     ############
#!/usr/bin/env python

import sys

if len(sys.argv) >= 2 and sys.argv[1] == "pyside":
    from os import environ
    environ['QT_API'] = 'pyside'

    from PySide.QtCore import *
    from PySide.QtGui import *
else:
    from PyQt4.QtCore import *
    from PyQt4.QtGui import *


from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as 
FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg

class MplCanvasXY( FigureCanvas ):

    def __init__( self, title = None, xlabel = None, ylabel = None, 
parent=None ):

        self.fig = Figure()
        self.axes = self.fig.add_subplot(111)
        self.axes.grid(True)

        FigureCanvas.__init__( self, self.fig )
        self.setParent( parent )


app = QApplication( sys.argv )
d = QDialog()

vb = QVBoxLayout()
canvas = MplCanvasXY()

vb.addWidget( canvas )
navigationToolbar = NavigationToolbar2QTAgg(
        parent = canvas
        , canvas = canvas )
vb.addWidget( navigationToolbar )
d.setLayout( vb )

d.show()
sys.exit( app.exec_() )