matplotlib-users Mailing List for matplotlib

Hi all:

I'm looking for a simple way to scale a color bar so it will be the same
height as the image.  It seems to work automatically if the image is at
least as tall as it is wide, but when it is wider than tall it seems to
scale to the width rather than height. (Shouldn't the default behavior
be to scale to height if the colorbar is vertical and width if its
horizontal?)  One approach that I found at one point was something like
this:
fig = plt.figure(figsize=(11,5))
cax = fig.add_axes([0.9,0.1,0.01,0.8]) # axes for colorbar
ax = plt.subplot(111)
im = ax.imshow(image)
fig.colorbar(im,cax=cax)

but even with this method it seems that tweaking the figsize and
add_axes arguments.  I've also fiddled with the shrink and fraction
keywords and have managed to get good results, but it seems so ad hoc.
Is there a better way?

Jon

I can't determine whether this can be easily accomplished. Say I have x and y
data from which I construct a simple scatter plot. I would like to now add a
histogram of the differences between the individual elements of the x and y
vectors. Sounds easy enough, the only problem is that I would like to add
this differences histogram in the top right hand corner of the plot,
oriented diagonally, essentially straddling the unity line. I know how to
add marginal histograms to a scatter plot, but I cannot seem to find
information on how to rotate the histogram 45 degrees nor how to place it
appropriately. Could someone help me out with this? Any help would be much
appreciated.

Thanks!
-- 
View this message in context: http://old.nabble.com/diagonal-difference-histogram--tp31372386p31372386.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I'm having a memory leakage using matplotlib 1.0.1 with wx 2.8.11.0, on
windows XP.

To reproduce, I used the sample from here:
http://matplotlib.sourceforge.net/examples/animation/dynamic_image_wxagg2.htmland
deleted most of the significant lines (see below). I only create a
canvas but I don't create any axes, nor plot any data.
The only thing I do is draw() on a timer event. This makes my process grow
about 6Mbyte per minute.

Is this reproduced in other environments? Any ideas on how to resolve this?

Thanks,
Oren


"""
Copyright (C) 2003-2005 Jeremy O'Donoghue and others

License: This work is licensed under the PSF. A copy should be included
with this source code, and is also available at
http://www.python.org/psf/license.html

"""
import sys, time, os, gc

import matplotlib
matplotlib.use('WXAgg')

from matplotlib import rcParams
import numpy as npy

import matplotlib.cm as cm

from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.backends.backend_wx import NavigationToolbar2Wx

from matplotlib.figure import Figure
from wx import *


TIMER_ID = NewId()

class PlotFigure(Frame):

    def __init__(self):
        Frame.__init__(self, None, -1, "Test embedded wxFigure")

        self.fig = Figure((1,1), 50, facecolor='.95')
        self.canvas = FigureCanvasWxAgg(self, -1, self.fig)
        # Now put all into a sizer
        sizer = wx.BoxSizer(wx.VERTICAL)
        # This way of adding to sizer allows resizing
        sizer.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
        self.SetSizer(sizer)
        self.Fit()

        self._price_ax = self.fig.add_subplot(111)


        wx.EVT_TIMER(self, TIMER_ID, self.onTimer)
        self.t = wx.Timer(self, TIMER_ID)
        self.t.Start(1000)

    def onTimer(self, evt):
        self.canvas.draw()


if __name__ == '__main__':
    app = PySimpleApp()
    frame = PlotFigure()
    # Initialise the timer - wxPython requires this to be connected to
    # the receiving event handler
    t = Timer(frame, TIMER_ID)
    t.Start(100)

    frame.Show()
    app.MainLoop()

The arrow keys were not being correctly detected in the Qt4 backend of 
the matplotlib gui code, so I went in and hooked up keycodes for them.

I haven't submitted patches before, but I thought this was worth passing 
on, so I have attached it.  Is this something worth submitting?  How 
would I go about doing that?

Tom

Hello!

I have written a temprature logger using mathplotlib, i take in a list of multiple lines and print them out with Linecollection, i also supply a list of colors. 

Now to the the question, what is the best way (function) to explain to the user what line in the graph that correspond to each temprature node.

What im looking for is some sort of function that make a list in the facion;

Green - Node1
 		 	   		  

Hey,

Thank you! You solved my problem!

Cheers
Martin

2011/4/11 Sebastian Berg <seb...@si...>:
> Hey,
>
> not sure about which values are good to use (there is an example in the
> gallery about it), but do the first plot command for example with
> zorder=1 keyword argument, and the errorbar with zorder=2, and voila you
> got what you want.
>
> Regards,
>
> Sebastian
>
>
> On Mon, 2011-04-11 at 14:49 +0200, Martin Sparre wrote:
>> Dear Matplotlib-users,
>>
>> I am trying to plot some data as well as an errorbar. The problem is
>> that the errorbar stays behind the data even though plt.errorbar(...)
>> comes after plt.plot(....) in my code. Here is a simple code that
>> produces the problem:
>>
>> http://dark-cosmology.dk/~sparre/example.py
>>
>> And here is a png-file showing the errorbar behind the data.
>> http://dark-cosmology.dk/~sparre/image.png
>>
>> Can anyone help me with getting the errorbar in front of the blue
>> curve? - it would make me very happy!
>>
>> I am using Matplotlib version 1.0.1 on Ubuntu 10.10 (Python 2.6.6).
>>
>> Best regards,
>> Martin Sp.
>>
>> ------------------------------------------------------------------------------
>> Xperia(TM) PLAY
>> It's a major breakthrough. An authentic gaming
>> smartphone on the nation's most reliable network.
>> And it wants your games.
>> http://p.sf.net/sfu/verizon-sfdev
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
> ------------------------------------------------------------------------------
> Xperia(TM) PLAY
> It's a major breakthrough. An authentic gaming
> smartphone on the nation's most reliable network.
> And it wants your games.
> http://p.sf.net/sfu/verizon-sfdev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hey,

not sure about which values are good to use (there is an example in the
gallery about it), but do the first plot command for example with
zorder=1 keyword argument, and the errorbar with zorder=2, and voila you
got what you want.

Regards,

Sebastian


On Mon, 2011-04-11 at 14:49 +0200, Martin Sparre wrote:
> Dear Matplotlib-users,
> 
> I am trying to plot some data as well as an errorbar. The problem is
> that the errorbar stays behind the data even though plt.errorbar(...)
> comes after plt.plot(....) in my code. Here is a simple code that
> produces the problem:
> 
> http://dark-cosmology.dk/~sparre/example.py
> 
> And here is a png-file showing the errorbar behind the data.
> http://dark-cosmology.dk/~sparre/image.png
> 
> Can anyone help me with getting the errorbar in front of the blue
> curve? - it would make me very happy!
> 
> I am using Matplotlib version 1.0.1 on Ubuntu 10.10 (Python 2.6.6).
> 
> Best regards,
> Martin Sp.
> 
> ------------------------------------------------------------------------------
> Xperia(TM) PLAY
> It's a major breakthrough. An authentic gaming
> smartphone on the nation's most reliable network.
> And it wants your games.
> http://p.sf.net/sfu/verizon-sfdev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 

Dear Matplotlib-users,

I am trying to plot some data as well as an errorbar. The problem is
that the errorbar stays behind the data even though plt.errorbar(...)
comes after plt.plot(....) in my code. Here is a simple code that
produces the problem:

http://dark-cosmology.dk/~sparre/example.py

And here is a png-file showing the errorbar behind the data.
http://dark-cosmology.dk/~sparre/image.png

Can anyone help me with getting the errorbar in front of the blue
curve? - it would make me very happy!

I am using Matplotlib version 1.0.1 on Ubuntu 10.10 (Python 2.6.6).

Best regards,
Martin Sp.

Hi Paul,

Thanks a lot. That was exactly what I was looking for!

Best regards,

Markus

On Thu, Apr 7, 2011 at 1:14 AM, Paul Ivanov <piv...@gm...> wrote:

> Markus Baden, on 2011-04-06 10:18,  wrote:
> > Hi,
> >
> > I draw four subplots that touch each other. Thus the "middle cross" of
> the
> > frame is drawn twice and appears to be thicker then the "outer
> rectangle". I
> > came across an old post for an custom Axes that would allow to only draw
> > part of the frame
> >
> >
> http://www.mail-archive.com/mat...@li.../msg10242.html
> >
> > However, when I run the example provided I get an "can't set attribute
> > error" (see traceback below). I use Python 2.7.1 |EPD 7.0-1 (32-bit) on
> Mac
> > OS 10.5.8, which includes matplotlib version 1.0.1.
> >
> > Is there a fix to get the custom class running again, or is there an
> > alternative way to achieve what I intend?
>
> Hi Markus,
>
> I didn't look at that code but I think the alternative you're
> looking for is
>
> ax.spines['right'].set_visible(False)
> ax.spines['bottom'].set_visible(False)
>
> where you use the appropriate locations you want changed for the
> different subplots axes.
>
> If you're going to have a lot of subplots, you can simplify the
> logic by first setting all spines to being invisible, and then
> using ax.is_first_col(), is_first_row() and the corresponding
> is_last_* methods to set the appropriate spines back to visible.
>
> Like this:
>
> #show only the outside spines
> for ax in all_axes:
>    for sp in ax.spines.values():
>        sp.set_visible(False)
>    if ax.is_first_row():
>        ax.spines['top'].set_visible(True)
>    if ax.is_last_row():
>        ax.spines['bottom'].set_visible(True)
>    if ax.is_first_col():
>        ax.spines['left'].set_visible(True)
>    if ax.is_last_col():
>        ax.spines['right'].set_visible(True)
>
> best,
> --
> Paul Ivanov
> 314 address only used for lists,  off-list direct email at:
> http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
>
> -----BEGIN PGP SIGNATURE-----
> Version: GnuPG v1.4.10 (GNU/Linux)
>
> iEYEARECAAYFAk2cn4cACgkQe+cmRQ8+KPfCmACfTDkYFuGAz3zddfjIp963M3UK
> Ve0AnRcvhQYcUnq/u8EU3Ap9fIkUUyLv
> =mJHV
> -----END PGP SIGNATURE-----
>
>
> ------------------------------------------------------------------------------
> Xperia(TM) PLAY
> It's a major breakthrough. An authentic gaming
> smartphone on the nation's most reliable network.
> And it wants your games.
> http://p.sf.net/sfu/verizon-sfdev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>