matplotlib-users Mailing List for matplotlib (Page 11)

Hi
I've added some lines with
ax.add_line(yellowlines)
ax.add_line(redlines)

how can I remove the lines without completely redrawing everything?


-Mathew

Hi Everyone,

I'm embedding two different figures on two different canvases (each
with subplots) into a Tk application, using the TkAgg backend.  I'd
like to add some matplotlib widgets to one of the figures, and I need
to specify which figure to add these to.  Currently, matplotlib is
putting the widgets on the figure that was the last to be created,
which is by default the active canvas, but I need to be able to
specify which widgets go where in my code, so I need to switch the
active figure.  Normally during an interactive session, I would do
something like this:

figure(0)
# draw some lines

figure(1)
# draw some more

#now to add the widgets to figure 0, I need to make this active
figure(0)
# and now I can add my widgets
a = axis([0.0, 0.0, 0.1, 0.1]) # --> these are now drawn on figure 0
# etc...

But this won't work for embedded plots in a larger Tk program.  So, my
question is, how can I select which canvas is active when I'm
embedding these figures using FigureCanvasTkAgg?  I assumed there
would be a simple function like 'set_active' but I haven't found it.
I'm sure it's something simple that I'm missing.

Thanks very much,
Michael

Thanks Greg, that is exactly what I wanted.

Cheers

Adrian


On 04/05/2011 20:17, Buchholz, Greg wrote:
>> -----Original Message-----
>> From: Adrian HILL [mailto:adr...@es...]
>>
>> What is the best way of now plotting this (as single vertical marker
>> lines)?
> plot(data,zeros_like(data),marker='|',markersize=20,linestyle='None')
>

> -----Original Message-----
> From: Adrian HILL [mailto:adr...@es...]
> 
> What is the best way of now plotting this (as single vertical marker
> lines)?

plot(data,zeros_like(data),marker='|',markersize=20,linestyle='None')

Hi all,

I needed to make bean plots (see
http://www.jstatsoft.org/v28/c01/paper ) so I made a function to plot
them by tuning the violin plot code from here:
http://pyinsci.blogspot.com/2009/09/violin-plot-with-matplotlib.html

Please see the attached file if interested.

Is there a repository where this kind of additional plot functions
could be submitted? The violinplot function needs scipy, so it's maybe
matplotlib itself is out of the question?

Best,

Teemu

I hope someone on this list can help me here. I am a complete matplotlib 
and python novice, so please forgive me if it is a rather simple question.


I am trying to plot markers in matplotlib.  I have values at x at which 
they should appear, but that is it.  The y value of them should just be 
an arbitrary value (for example 0).

Here is an example of the data

2.10686
4.21443
5.01784
6.20608
6.32343
6.44145
6.77794
...
..
.

I can load the data with

reflections_1=numpy.loadtxt("list.txt")
phase_1=reflections_1[:,0]

What is the best way of now plotting this (as single vertical marker lines)?
I thought of using the quiver function, but cannot get this to work.

Any help appreciated.

Thanks

Adrian

Pau,

linewidth=xx (or lw=xx) does that job in scatter plots.  Also see
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.scatterthough
really it isn't very clear and I found it out by accident

Regards,
Ian

----
Ian Bell
Graduate Research Assistant
Herrick Labs
Purdue University
email: ib...@pu...
cell: (607)227-7626


On Tue, May 3, 2011 at 2:27 PM, Pau <vim...@go...> wrote:

> thanks!
>
> I wish there was something similar to markeredgewidth in scatter, though
>
> But it's doing what I wanted, thanks
>
> Pau
>
> On 3 May 2011 19:21, Buchholz, Greg <gbu...@in...> wrote:
> >    Maybe you want to use the "scatter" procedure?
> >
> >
> http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_demo.html?highlight=scatter
> >
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.scatter
> >
> >
> >> -----Original Message-----
> >> From: Pau [mailto:vim...@go...]
> >> Sent: Tuesday, May 03, 2011 10:04 AM
> >> To: matplotlib
> >> Subject: [Matplotlib-users] Use a variable for the ms option in the
> >> plot function
> >>
> >> Hello,
> >>
> >> I am looking for a way to feed
> >>
> >> R=log(M)
> >>
> >> to plot in the ms field ("HERE" in the example):
> >>
> >> plot(X, Y, \
> >>                           marker='o', mec='black',ms=HERE,ls='None',\
> >>                           mfc='red',alpha=0.9,mew=2,antialiased=True)
> >>
> >>
> >> thanks,
> >>
> >> Pau
> >>
> >> -----------------------------------------------------------------------
> >> -------
> >> WhatsUp Gold - Download Free Network Management Software
> >> The most intuitive, comprehensive, and cost-effective network
> >> management toolset available today.  Delivers lowest initial
> >> acquisition cost and overall TCO of any competing solution.
> >> http://p.sf.net/sfu/whatsupgold-sd
> >> _______________________________________________
> >> Matplotlib-users mailing list
> >> Mat...@li...
> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
>
>
> ------------------------------------------------------------------------------
> WhatsUp Gold - Download Free Network Management Software
> The most intuitive, comprehensive, and cost-effective network
> management toolset available today.  Delivers lowest initial
> acquisition cost and overall TCO of any competing solution.
> http://p.sf.net/sfu/whatsupgold-sd
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

THANKS!!

I am not a native speaker and sometimes I find it very hard to find a
keyword to look for...

that tip was excellent, thank you a lot

On 3 May 2011 22:27, Buchholz, Greg <gbu...@in...> wrote:
>> From: Pau [mailto:vim...@go...]
>>
>> PS: I thought I would probably give a better example
>>
>> The goal is to have all the data files plotted in a single graph
>
> import glob
>
> for filename in glob.glob('*.dat'):
>    if 'e' in set(filename): #or whatever
>        #do something for files that have an 'e' in their name
>    else:
>        #do something else
>    loadtxt(filename) #yada, yada, yada
>    scatter() #etc.
>

> From: Pau [mailto:vim...@go...]
> 
> PS: I thought I would probably give a better example
> 
> The goal is to have all the data files plotted in a single graph

import glob

for filename in glob.glob('*.dat'):
    if 'e' in set(filename): #or whatever
        #do something for files that have an 'e' in their name
    else:
        #do something else
    loadtxt(filename) #yada, yada, yada
    scatter() #etc.

On 5/3/2011 2:37 PM, Pau wrote:
> I am afraid that I know the answer to the question: use python
>
> But my problem is that I do not really know python.

Fortunately, the documentation is excellent:
http://docs.python.org/library/glob.html

hth,
Alan Isaac

would it be easier to have all data in a single file and then tell
matplotlib to plot different parts of that file?

The file would look like:

.
.
.
  13.0576 -66.6586  -9.6419  34.1672  1.445e+05  4962
  13.0576 -55.4192  44.0864  16.7687  1.445e+05  4963
  13.0576 65.0328  -38.8888  -215.3602  1.445e+05  4964
  13.0576 -110.7375  -0.1741  -91.9251  5.459e+04  4512
.
.
.

The fifth column is what defines the transition between a file and the next one

How can I tell matplotlib to plot those data first with a certain
color and then the next data with a different color?


On 3 May 2011 21:38, Pau <vim...@go...> wrote:
> PS: I thought I would probably give a better example
>
>
> In a directory I have these files:
>
>
> 2537.dat
> 5043.dat
> 5075.dat
> 7581.dat
> 1.009e+04.dat
> 1.551e+04.dat
> 1.805e+04.dat
> 2.056e+04.dat
> 4.955e+04.dat
> 5.209e+04.dat
> 5.459e+04.dat
> 5.462e+04.dat
> 1.445e+05.dat
> 1.47e+05.dat
> 5.016e+05.dat
> 5.041e+05.dat
> 5.067e+05.dat
> 5.171e+05.dat
> 5.196e+05.dat
> 5.511e+05.dat
> 5.537e+05.dat
> 5.562e+05.dat
> 8.842e+05.dat
> 1.465e+06.dat
>
> I would like to plot them with matplotlib like this:
>
> -----------------------------------------------------------
> X = cluster[:, 1]  # Column 2
> Y = cluster[:, 2]  # Column 3
> M = cluster[:, 4]  # Column 5
> Radius = log(M)
>
>
> ylabel ('Y (pc)', size=18)
>
> scatter(X, Y, s=Radius,\
>        marker='o', color='red',\
>        edgecolors='black',\
>        alpha=0.9,antialiased=True)
>
> xlabel ('X (pc)', size=18)
> -----------------------------------------------------------
>
> where
>
> "cluster" runs from the first data file to the last one and
> "color" changes from one data file to the next one
>
> The goal is to have all the data files plotted in a single graph
>
> How could I do this?
>
> Thanks a lot
>
> P.
>
>
> On 3 May 2011 20:37, Pau <vim...@go...> wrote:
>> Hello,
>>
>> I am afraid that I know the answer to the question: use python
>>
>> But my problem is that I do not really know python. I just started and
>> I can do some nice plots with matplotlib but I don't really know
>> python.
>>
>> I am now running into a snag. I have different directories with
>> different number of data files
>>
>> Directory 1 ---> data1.dat data2.dat data3.dat data4.dat data5.dat
>> Directory 2 ---> data1.dat data2.dat data3.dat
>>
>> The number of files is huge, I do not want to run this one by one per hand.
>>
>> I am trying to do this with a shell script which actually prepares the
>> data files but I do not know how to tell matplotlib from the shell
>> script that the number of files is different and that it should use
>> different colours for different files.
>>
>> I can explain this in much more detail if needed, but I wanted to hear
>> a first impression.
>>
>> thanks,
>>
>> Pau
>>
>

PS: I thought I would probably give a better example


In a directory I have these files:


2537.dat
5043.dat
5075.dat
7581.dat
1.009e+04.dat
1.551e+04.dat
1.805e+04.dat
2.056e+04.dat
4.955e+04.dat
5.209e+04.dat
5.459e+04.dat
5.462e+04.dat
1.445e+05.dat
1.47e+05.dat
5.016e+05.dat
5.041e+05.dat
5.067e+05.dat
5.171e+05.dat
5.196e+05.dat
5.511e+05.dat
5.537e+05.dat
5.562e+05.dat
8.842e+05.dat
1.465e+06.dat

I would like to plot them with matplotlib like this:

-----------------------------------------------------------
X = cluster[:, 1]  # Column 2
Y = cluster[:, 2]  # Column 3
M = cluster[:, 4]  # Column 5
Radius = log(M)


ylabel ('Y (pc)', size=18)

scatter(X, Y, s=Radius,\
        marker='o', color='red',\
        edgecolors='black',\
        alpha=0.9,antialiased=True)

xlabel ('X (pc)', size=18)
-----------------------------------------------------------

where

"cluster" runs from the first data file to the last one and
"color" changes from one data file to the next one

The goal is to have all the data files plotted in a single graph

How could I do this?

Thanks a lot

P.


On 3 May 2011 20:37, Pau <vim...@go...> wrote:
> Hello,
>
> I am afraid that I know the answer to the question: use python
>
> But my problem is that I do not really know python. I just started and
> I can do some nice plots with matplotlib but I don't really know
> python.
>
> I am now running into a snag. I have different directories with
> different number of data files
>
> Directory 1 ---> data1.dat data2.dat data3.dat data4.dat data5.dat
> Directory 2 ---> data1.dat data2.dat data3.dat
>
> The number of files is huge, I do not want to run this one by one per hand.
>
> I am trying to do this with a shell script which actually prepares the
> data files but I do not know how to tell matplotlib from the shell
> script that the number of files is different and that it should use
> different colours for different files.
>
> I can explain this in much more detail if needed, but I wanted to hear
> a first impression.
>
> thanks,
>
> Pau
>

Hello,

I am afraid that I know the answer to the question: use python

But my problem is that I do not really know python. I just started and
I can do some nice plots with matplotlib but I don't really know
python.

I am now running into a snag. I have different directories with
different number of data files

Directory 1 ---> data1.dat data2.dat data3.dat data4.dat data5.dat
Directory 2 ---> data1.dat data2.dat data3.dat

The number of files is huge, I do not want to run this one by one per hand.

I am trying to do this with a shell script which actually prepares the
data files but I do not know how to tell matplotlib from the shell
script that the number of files is different and that it should use
different colours for different files.

I can explain this in much more detail if needed, but I wanted to hear
a first impression.

thanks,

Pau

thanks!

I wish there was something similar to markeredgewidth in scatter, though

But it's doing what I wanted, thanks

Pau

On 3 May 2011 19:21, Buchholz, Greg <gbu...@in...> wrote:
>    Maybe you want to use the "scatter" procedure?
>
> http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_demo.html?highlight=scatter
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.scatter
>
>
>> -----Original Message-----
>> From: Pau [mailto:vim...@go...]
>> Sent: Tuesday, May 03, 2011 10:04 AM
>> To: matplotlib
>> Subject: [Matplotlib-users] Use a variable for the ms option in the
>> plot function
>>
>> Hello,
>>
>> I am looking for a way to feed
>>
>> R=log(M)
>>
>> to plot in the ms field ("HERE" in the example):
>>
>> plot(X, Y, \
>>                           marker='o', mec='black',ms=HERE,ls='None',\
>>                           mfc='red',alpha=0.9,mew=2,antialiased=True)
>>
>>
>> thanks,
>>
>> Pau
>>
>> -----------------------------------------------------------------------
>> -------
>> WhatsUp Gold - Download Free Network Management Software
>> The most intuitive, comprehensive, and cost-effective network
>> management toolset available today.  Delivers lowest initial
>> acquisition cost and overall TCO of any competing solution.
>> http://p.sf.net/sfu/whatsupgold-sd
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

    Maybe you want to use the "scatter" procedure?

http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_demo.html?highlight=scatter
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.scatter


> -----Original Message-----
> From: Pau [mailto:vim...@go...]
> Sent: Tuesday, May 03, 2011 10:04 AM
> To: matplotlib
> Subject: [Matplotlib-users] Use a variable for the ms option in the
> plot function
> 
> Hello,
> 
> I am looking for a way to feed
> 
> R=log(M)
> 
> to plot in the ms field ("HERE" in the example):
> 
> plot(X, Y, \
>                           marker='o', mec='black',ms=HERE,ls='None',\
>                           mfc='red',alpha=0.9,mew=2,antialiased=True)
> 
> 
> thanks,
> 
> Pau
> 
> -----------------------------------------------------------------------
> -------
> WhatsUp Gold - Download Free Network Management Software
> The most intuitive, comprehensive, and cost-effective network
> management toolset available today.  Delivers lowest initial
> acquisition cost and overall TCO of any competing solution.
> http://p.sf.net/sfu/whatsupgold-sd
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello,

I am looking for a way to feed

R=log(M)

to plot in the ms field ("HERE" in the example):

plot(X, Y, \
                          marker='o', mec='black',ms=HERE,ls='None',\
                          mfc='red',alpha=0.9,mew=2,antialiased=True)


thanks,

Pau

Thank you very much,
it works very well now.
Cheers.

Emanuele Passera

Software Engineer

Tele-Rilevamento Europa - T.R.E. srl
Via Vittoria Colonna, 7
20149 Milano – Italia
Tel.: +39.02.4343.121 - Fax: +39.02.4343.1230
ema...@tr... - www.treuropa.com


--
This communication, that may contain confidential and/or legally privileged
information, is intended solely for the use of the intended addressees.
Opinions, conclusions and other information contained in this message, that
do not relate to the official business of this firm, shall be considered as
not given or endorsed by it. Every opinion or advice contained in this
communication is subject to the terms and conditions provided by the
agreement governing the engagement with such a client. If you have received
this communication in error, please notify us immediately by responding to
this email and then delete it from your system. Any use, disclosure, copying
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recipient or in violation of the purposes of this communication is strictly
prohibited and may be unlawful.
--


On Thu, Apr 21, 2011 at 5:38 PM, Emanuele Passera <
ema...@tr...> wrote:

> Hello everybody,
>
> I am experiencing a strange behavior with the scatter() function when
> using different figure canvas y dimensions in inches.
>
> Executing the code listed below, I obtain good images when using some
> dimensions
> and totally white images when using others.
> I have attached the input data buffers and the resulting images too.
>
> #!/usr/bin/python
>
> import numpy as n
> import pylab as p
>
> def scatterFun(x, y, data, yCanvasDimInches, imageName):
>     """ This function draws a scatterogram for the input data. """
>     canvasObj = p.figure(figsize=(8, yCanvasDimInches), dpi=100)
>     axisObj = canvasObj.add_axes([0, 0, 1, 1])
>     axisObj.scatter(x, y, 10, data, 'o')
>     canvasObj.savefig(imageName, dpi=100)
>     p.close()
>
>
> # data buffer files
> yPosFile = "/users/lelepass/python/test_scatter/yPos"
> xPosFile = "/users/lelepass/python/test_scatter/xPos"
> dataFile = "/users/lelepass/python/test_scatter/data"
> # loading data
> s = file(dataFile, 'rb').read()
> data = n.fromstring(s, 'f')
> s = file(yPosFile, 'rb').read()
> y = n.fromstring(s, 'd')
> s = file(xPosFile, 'rb').read()
> x = n.fromstring(s, 'd')
>
> # scatterogram generation
> scatterFun(x, y, data, 6, "pippo1.png")
> scatterFun(x, y, data, 6.01, "pippo2.png")
> scatterFun(x, y, data, 6.015, "pippo3.png")
> scatterFun(x, y, data, 6.02, "pippo4.png")
> scatterFun(x, y, data, 6.028, "pippo5.png")
> scatterFun(x, y, data, 6.03, "pippo6.png")
>
> Can anyone help me ?
>
> I use
> Linux openSUSE 11.3 (x86_64)
> Linux sat1 2.6.34.7-0.7-default #1 SMP 2010-12-13 11:13:53 +0100 x86_64
> x86_64 x86_64 GNU/Linux
> Python       2.6.5
> numpy        1.5.1
> matplotlib   1.0.1 with backend Agg v2.2
>
> On the same system descripted above linking matplotlib from svn
> matplotlib-matplotlib-v1.0.1-756-g3c43d83.tar.gz instead of the installed
> one,
> all the images are white.
>
> If it can be of some help this strange behavior does not appear with a
> system
> Linux Ubuntu 9.10
> Linux joshua 2.6.28-11-server #42-Ubuntu SMP Fri Apr 17 02:48:10 UTC 2009
> i686 GNU/Linux
> Python       2.6.4
> numpy        1.3.0
> matplotlib   0.99.0 with backend Agg v2.2
>
> Executing the script with verbosity I get the subsequent output
>
> $HOME=/users/lelepass
> CONFIGDIR=/users/lelepass/.matplotlib
>
> Bad key "numerix" on line 30 in
> /users/lelepass/.matplotlib/matplotlibrc.
> You probably need to get an updated matplotlibrc file from
> http://matplotlib.sf.net/_static/matplotlibrc or from the matplotlib
> source
> distribution
> matplotlib data path /usr/lib64/python2.6/site-packages/matplotlib/mpl-data
> loaded rc file /users/lelepass/.matplotlib/matplotlibrc
> matplotlib version 1.0.1
> verbose.level helpful
> interactive is False
> units is True
> platform is linux2
> Using fontManager instance from /users/lelepass/.matplotlib/fontList.cache
> backend agg version v2.2
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/usr/lib64/python2.6/site-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
>
>
> Thank you all.
> Bye.
>
> Emanuele Passera
>
> Software Engineer
>
> Tele-Rilevamento Europa - T.R.E. srl
> Via Vittoria Colonna, 7
> 20149 Milano – Italia
> Tel.: +39.02.4343.121 - Fax: +39.02.4343.1230
> ema...@tr... - www.treuropa.com
>
>
> --
> This communication, that may contain confidential and/or legally privileged
> information, is intended solely for the use of the intended addressees.
> Opinions, conclusions and other information contained in this message, that
> do not relate to the official business of this firm, shall be considered as
> not given or endorsed by it. Every opinion or advice contained in this
> communication is subject to the terms and conditions provided by the
> agreement governing the engagement with such a client. If you have received
> this communication in error, please notify us immediately by responding to
> this email and then delete it from your system. Any use, disclosure, copying
> or distribution of the contents of this communication by a not-intended
> recipient or in violation of the purposes of this communication is strictly
> prohibited and may be unlawful.
>  --
>

Hello,

I've been trying to animate some plots with the qt backend and run into 
a couple of problems.

Firstly,
I'd like to be able to update the axis limits in an automated fashion as 
the data changes size.

Secondly,
Resizing figures appears to redraw everything _but_ items with the 
animation flag.  The is causing me problems when the animation is paused 
or the frames are occurring slow enough such that there is a noticable 
period where the my lines disappear.

I've sort of solved both of these problems but the solutions seem 
hackish.  In particular updating the axis limits is slowing the 
animation by 25% and toggling the animated field using the qt events 
just feels like its asking for trouble.

Below is the qt animation example with my solutions.  Adjust the size of 
the plot after the animation finishes to see the effect of the resize 
hack.  I would be grateful if anyone could suggest some improvements.

Thanks,
Gerald.

# For detailed comments on animation and the techniqes used here, see

# the wiki entry http://www.scipy.org/Cookbook/Matplotlib/Animations

import os

import sys

#import matplotlib

#matplotlib.use('Qt4Agg')

from matplotlib.figure import Figure

from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas

from PyQt4 import QtCore, QtGui

ITERS = 100

import numpy as np

import time

class BlitQT(FigureCanvas):

     def __init__(self):

         FigureCanvas.__init__(self, Figure())

         self.ax = self.figure.add_subplot(111)

         #self.ax.grid()

         self.draw()

         self.old_size = self.ax.bbox.width, self.ax.bbox.height

         self.ax_background = self.copy_from_bbox(self.ax.bbox)

         self.cnt = 0

         self.x = np.arange(0,2*np.pi,0.01)

         self.sin_line, = self.ax.plot(self.x, np.sin(self.x), animated=True)

         self.cos_line, = self.ax.plot(self.x, np.cos(self.x), animated=True)

         self.draw()

         self.old_limits = self.ax.get_xlim(),self.ax.get_ylim()

         self.tstart = time.time()

         self.maintimer = self.startTimer(10)

     ## HACK for disapearing objects on resize

     def resizeEvent(self,evt):

         super(BlitQT,self).resizeEvent(evt)

         self.sin_line.set_animated(False)

     def paintEvent(self,evt):

         super(BlitQT,self).paintEvent(evt)

         self.sin_line.set_animated(True)

     def timerEvent(self, evt):

         current_size = self.ax.bbox.width, self.ax.bbox.height

         if self.old_size != current_size:

             self.old_size = current_size

             #self.ax.clear()

             #self.ax.grid()

             self.draw()

             self.ax_background = self.copy_from_bbox(self.ax.bbox)

         self.restore_region(self.ax_background)

         # update the data

         self.sin_line.set_ydata(np.sin(self.x+self.cnt/10.0)*self.cnt/100.0)

         self.cos_line.set_ydata(np.cos(self.x+self.cnt/10.0)*self.cnt/100.0)

         ## HACK for updating axis limits

         self.ax.relim()

         self.ax.autoscale_view()

         current_limits = self.ax.get_xlim(),self.ax.get_ylim()

         if self.old_limits != current_limits:

             self.old_limits = current_limits

             self.draw()

             self.ax_background = self.copy_from_bbox(self.ax.bbox)

             self.blit(self.figure.bbox)

          

         # just draw the animated artist

         self.ax.draw_artist(self.sin_line)

         self.ax.draw_artist(self.cos_line)

         # just redraw the axes rectangle

         self.blit(self.ax.bbox)

         if self.cnt == 0:

             # TODO: this shouldn't be necessary, but if it is excluded the

             # canvas outside the axes is not initially painted.

             self.draw()

         if self.cnt==ITERS:

             # print the timing info and quit

             print 'FPS:' , ITERS/(time.time()-self.tstart)

             #sys.exit()

             self.killTimer(self.maintimer)

         else:

             self.cnt += 1

app = QtGui.QApplication(sys.argv)

widget = BlitQT()

widget.show()

sys.exit(app.exec_())

A colleague posed an interesting challenge:
How to do a filled plot having the y-axis in logarithm?
I think I can do it with creating patches myself an adding it to the 
axis, but isn't there anything built-in?

Best regards,
Michael 

There is a bug in the Agg rectangle clipping code that fails when the 
clipping rectangle is outside of the bounds of the figure.  Since your 
example sets the edges of the axes right at the edges of the figure, at 
certain DPIs, the axes clipping region actually extends outside of the 
bounds of the figure.

This is fixed by this pull request, which should make it into the next 
maintenance release:

https://github.com/matplotlib/matplotlib/pull/103

Mike

On 05/02/2011 06:52 AM, Emanuele Passera wrote:
> Anyone can give me an help, please ?
>
> Emanuele Passera
>
> Software Engineer
>
> Tele-Rilevamento Europa - T.R.E. srl
> Via Vittoria Colonna, 7
> 20149 Milano – Italia
> Tel.: +39.02.4343.121 - Fax: +39.02.4343.1230
> ema...@tr... <mailto:ema...@tr...> - 
> www.treuropa.com <http://www.treuropa.com>
>
>
> --
> This communication, that may contain confidential and/or legally 
> privileged information, is intended solely for the use of the intended 
> addressees. Opinions, conclusions and other information contained in 
> this message, that do not relate to the official business of this 
> firm, shall be considered as not given or endorsed by it. Every 
> opinion or advice contained in this communication is subject to the 
> terms and conditions provided by the agreement governing the 
> engagement with such a client. If you have received this communication 
> in error, please notify us immediately by responding to this email and 
> then delete it from your system. Any use, disclosure, copying or 
> distribution of the contents of this communication by a not-intended 
> recipient or in violation of the purposes of this communication is 
> strictly prohibited and may be unlawful.
> --
>
>
> On Thu, Apr 21, 2011 at 5:38 PM, Emanuele Passera 
> <ema...@tr... <mailto:ema...@tr...>> 
> wrote:
>
>     Hello everybody,
>
>     I am experiencing a strange behavior with the scatter() function when
>     using different figure canvas y dimensions in inches.
>
>     Executing the code listed below, I obtain good images when using
>     some dimensions
>     and totally white images when using others.
>     I have attached the input data buffers and the resulting images too.
>
>     #!/usr/bin/python
>
>     import numpy as n
>     import pylab as p
>
>     def scatterFun(x, y, data, yCanvasDimInches, imageName):
>         """ This function draws a scatterogram for the input data. """
>         canvasObj = p.figure(figsize=(8, yCanvasDimInches), dpi=100)
>         axisObj = canvasObj.add_axes([0, 0, 1, 1])
>         axisObj.scatter(x, y, 10, data, 'o')
>         canvasObj.savefig(imageName, dpi=100)
>         p.close()
>
>
>     # data buffer files
>     yPosFile = "/users/lelepass/python/test_scatter/yPos"
>     xPosFile = "/users/lelepass/python/test_scatter/xPos"
>     dataFile = "/users/lelepass/python/test_scatter/data"
>     # loading data
>     s = file(dataFile, 'rb').read()
>     data = n.fromstring(s, 'f')
>     s = file(yPosFile, 'rb').read()
>     y = n.fromstring(s, 'd')
>     s = file(xPosFile, 'rb').read()
>     x = n.fromstring(s, 'd')
>
>     # scatterogram generation
>     scatterFun(x, y, data, 6, "pippo1.png")
>     scatterFun(x, y, data, 6.01, "pippo2.png")
>     scatterFun(x, y, data, 6.015, "pippo3.png")
>     scatterFun(x, y, data, 6.02, "pippo4.png")
>     scatterFun(x, y, data, 6.028, "pippo5.png")
>     scatterFun(x, y, data, 6.03, "pippo6.png")
>
>     Can anyone help me ?
>
>     I use
>     Linux openSUSE 11.3 (x86_64)
>     Linux sat1 2.6.34.7-0.7-default #1 SMP 2010-12-13 11:13:53 +0100
>     x86_64 x86_64 x86_64 GNU/Linux
>     Python       2.6.5
>     numpy        1.5.1
>     matplotlib   1.0.1 with backend Agg v2.2
>
>     On the same system descripted above linking matplotlib from svn
>     matplotlib-matplotlib-v1.0.1-756-g3c43d83.tar.gz instead of the
>     installed one,
>     all the images are white.
>
>     If it can be of some help this strange behavior does not appear
>     with a system
>     Linux Ubuntu 9.10
>     Linux joshua 2.6.28-11-server #42-Ubuntu SMP Fri Apr 17 02:48:10
>     UTC 2009 i686 GNU/Linux
>     Python       2.6.4
>     numpy        1.3.0
>     matplotlib   0.99.0 with backend Agg v2.2
>
>     Executing the script with verbosity I get the subsequent output
>
>     $HOME=/users/lelepass
>     CONFIGDIR=/users/lelepass/.matplotlib
>
>     Bad key "numerix" on line 30 in
>     /users/lelepass/.matplotlib/matplotlibrc.
>     You probably need to get an updated matplotlibrc file from
>     http://matplotlib.sf.net/_static/matplotlibrc or from the
>     matplotlib source
>     distribution
>     matplotlib data path
>     /usr/lib64/python2.6/site-packages/matplotlib/mpl-data
>     loaded rc file /users/lelepass/.matplotlib/matplotlibrc
>     matplotlib version 1.0.1
>     verbose.level helpful
>     interactive is False
>     units is True
>     platform is linux2
>     Using fontManager instance from
>     /users/lelepass/.matplotlib/fontList.cache
>     backend agg version v2.2
>     findfont: Matching
>     :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
>     to Bitstream Vera Sans
>     (/usr/lib64/python2.6/site-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
>     with score of 0.000000
>
>
>     Thank you all.
>     Bye.
>
>     Emanuele Passera
>
>     Software Engineer
>
>     Tele-Rilevamento Europa - T.R.E. srl
>     Via Vittoria Colonna, 7
>     20149 Milano – Italia
>     Tel.: +39.02.4343.121 <tel:%2B39.02.4343.121> - Fax:
>     +39.02.4343.1230 <tel:%2B39.02.4343.1230>
>     ema...@tr...
>     <mailto:ema...@tr...> - www.treuropa.com
>     <http://www.treuropa.com>
>
>
>     --
>     This communication, that may contain confidential and/or legally
>     privileged information, is intended solely for the use of the
>     intended addressees. Opinions, conclusions and other information
>     contained in this message, that do not relate to the official
>     business of this firm, shall be considered as not given or
>     endorsed by it. Every opinion or advice contained in this
>     communication is subject to the terms and conditions provided by
>     the agreement governing the engagement with such a client. If you
>     have received this communication in error, please notify us
>     immediately by responding to this email and then delete it from
>     your system. Any use, disclosure, copying or distribution of the
>     contents of this communication by a not-intended recipient or in
>     violation of the purposes of this communication is strictly
>     prohibited and may be unlawful.
>     --
>
>
>
> ------------------------------------------------------------------------------
> WhatsUp Gold - Download Free Network Management Software
> The most intuitive, comprehensive, and cost-effective network
> management toolset available today.  Delivers lowest initial
> acquisition cost and overall TCO of any competing solution.
> http://p.sf.net/sfu/whatsupgold-sd
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>    


-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

Thanks Justin. I have the event handling thing in place and was really
looking for drawing options. Thanks for the tips. I'll look into them.

regards,
Soumyaroop

On Mon, May 2, 2011 at 11:06 AM, Justin McCann <jn...@gm...> wrote:

> You'll want to use event handling to figure out where the user clicked, and
> then you have a couple of options: Axes.vlines(), or pylab.axvline(). It
> seems like pylab.axvline() will always span the entire y-axis by default,
> but with Axes.vlines() you need to specify the ymin/ymax. Maybe someone else
> knows of an argument to pass to Axes.vlines() that will always span the
> entire y-axis.
>
> Here's the code (assuming 'ipython -pylab'):
> ========
>
> fig = figure()
> plot([1,2,3,4], [5,6,7,8])
>
> def onclick(event):
>     """Draw a vertical line spanning the axes every time the user clicks
> inside them"""
>     if event.inaxes: # make sure the click was within a set of axes
>         pylab.axvline(event.xdata, axes=event.inaxes, color='r',
> linestyle=':') # red dotted line
>         event.inaxes.figure.canvas.draw() # force a re-draw
>
> cid = fig.canvas.mpl_connect('button_press_event', onclick) # add the click
> handler
>
> ... interact with it
>
> fig.canvas.mpl_disconnect(cid) # get rid of the click-handler
>
> ========
> Docs:
> Axes.vlines():
> http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.vlines
> pyplot.axvline():
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvline
>
> Event handling:
> http://matplotlib.sourceforge.net/users/event_handling.html
> Example:
> http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html
>
>    Justin
>
> On Mon, May 2, 2011 at 10:08 AM, Soumyaroop Roy <roy...@gm...>wrote:
>
>> Any pointers on this?
>>
>> On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy <
>> roy...@gm...> wrote:
>>
>>> Hi there:
>>>
>>> I have an x-y plot and I want to draw a vertical marker (an x=c line) on
>>> the plot on a mouse click.
>>>
>>> How should I approach it?
>>>
>>> regards,
>>> Soumyaroop
>>>
>>
>>
>>
>> ------------------------------------------------------------------------------
>> WhatsUp Gold - Download Free Network Management Software
>> The most intuitive, comprehensive, and cost-effective network
>> management toolset available today.  Delivers lowest initial
>> acquisition cost and overall TCO of any competing solution.
>> http://p.sf.net/sfu/whatsupgold-sd
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Perhaps sharex or sharey might suit your requirements.

Adrian

On 02/05/2011 15:18, Neal Becker wrote:
> I asked this a while back, but never explained myself clearly.
>
> I'm using pdfpages to plot multiple graphs on multiple pages.  I want the graphs
> to come out on the same scales.
>
> Would it be reasonable to try to autoscale them and yet come out on the same
> scale?
>
> Maybe would be easier to just do my own autoscaling?
>
>
> ------------------------------------------------------------------------------
> WhatsUp Gold - Download Free Network Management Software
> The most intuitive, comprehensive, and cost-effective network
> management toolset available today.  Delivers lowest initial
> acquisition cost and overall TCO of any competing solution.
> http://p.sf.net/sfu/whatsupgold-sd
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-user

You'll want to use event handling to figure out where the user clicked, and
then you have a couple of options: Axes.vlines(), or pylab.axvline(). It
seems like pylab.axvline() will always span the entire y-axis by default,
but with Axes.vlines() you need to specify the ymin/ymax. Maybe someone else
knows of an argument to pass to Axes.vlines() that will always span the
entire y-axis.

Here's the code (assuming 'ipython -pylab'):
========

fig = figure()
plot([1,2,3,4], [5,6,7,8])

def onclick(event):
    """Draw a vertical line spanning the axes every time the user clicks
inside them"""
    if event.inaxes: # make sure the click was within a set of axes
        pylab.axvline(event.xdata, axes=event.inaxes, color='r',
linestyle=':') # red dotted line
        event.inaxes.figure.canvas.draw() # force a re-draw

cid = fig.canvas.mpl_connect('button_press_event', onclick) # add the click
handler

... interact with it

fig.canvas.mpl_disconnect(cid) # get rid of the click-handler

========
Docs:
Axes.vlines():
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.vlines
pyplot.axvline():
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvline

Event handling: http://matplotlib.sourceforge.net/users/event_handling.html
Example:
http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html

   Justin

On Mon, May 2, 2011 at 10:08 AM, Soumyaroop Roy <roy...@gm...>wrote:

> Any pointers on this?
>
> On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy <roy...@gm...
> > wrote:
>
>> Hi there:
>>
>> I have an x-y plot and I want to draw a vertical marker (an x=c line) on
>> the plot on a mouse click.
>>
>> How should I approach it?
>>
>> regards,
>> Soumyaroop
>>
>
>
>
> ------------------------------------------------------------------------------
> WhatsUp Gold - Download Free Network Management Software
> The most intuitive, comprehensive, and cost-effective network
> management toolset available today.  Delivers lowest initial
> acquisition cost and overall TCO of any competing solution.
> http://p.sf.net/sfu/whatsupgold-sd
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Any pointers on this?

On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy
<roy...@gm...>wrote:

> Hi there:
>
> I have an x-y plot and I want to draw a vertical marker (an x=c line) on
> the plot on a mouse click.
>
> How should I approach it?
>
> regards,
> Soumyaroop
>

I asked this a while back, but never explained myself clearly.

I'm using pdfpages to plot multiple graphs on multiple pages.  I want the graphs 
to come out on the same scales.  

Would it be reasonable to try to autoscale them and yet come out on the same 
scale?  

Maybe would be easier to just do my own autoscaling?