matplotlib-users Mailing List for matplotlib

> On Mon, May 25, 2009 at 12:35 PM, Alan G Isaac <ala...@gm...> wrote:
>> What is the "right" way to produce date-range bars,
>> like the recession bars in
>> http://research.stlouisfed.org/fred2/series/TB3MS?cid=116



On 5/25/2009 1:45 PM John Hunter apparently wrote:
> axvspan.  See
> 
>   http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.axvspan
>   http://matplotlib.sourceforge.net/examples/pylab_examples/axhspan_demo.html


Great!
Thanks,
Alan

Thank you very much for your email.

Your example
>imshow(rand(10,10)*8, vmin=0, vmax=8)
>colorbar(ticks=[0,2,4,6,8])
works fine.

>Note also that to get the sequence [0,2,4,6,8] you need arange(0,9,2), 
>not arange(0,8,2).  Or you can use linspace(0,8,5) if you prefer.
Thank you for making me aware of that (You see that I don't have a lot of
experience in python and matplotlib).

I now specified the color range via vmin and vmax, and this solved my
problem. Thanks for the fast help

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marcusantonius wrote:
> I should perhaps mention, that if i try
> cbar=fig.colorbar(p1,orientation='horizontal',ticks=[0.0,2.0,4.0,6.0,8.0])

The ticks that it uses are taken from the list--they are the ones that 
are within the range of numbers mapped to colors.  The list of ticks 
does not set that range.

> cbar.ax.set_xticklabels(['0', '2', '4','6','8'])
Setting ticklabels is dangerous unless you do it based on first getting 
the actual ticks and using their values, or if you are otherwise sure of 
their values.  But it should be very rare that you have to do this.

> the colorbar is drawn correctly, but I get the label 0 at position 2, the
> label 2 at position 4 and 4 at pos. 6, the labels at the end are not
> drawn...

None of the labels correspond to their ticks in this case.

Eric

marcusantonius wrote:
> Hello,
> 
> I have the problem, that sometimes the first and last ticklabel of a
> colorbar is not drawn. E.g. if I create a colorbar through
> fig.colorbar(p3,orientation='horizontal',ticks=np.arange(0.0,8,2))
> I only get ticklabels at 2,4,6, but I would like it to have 0,2,4,6,8 and I
> don't know how to control this behaviour. If I do
> cb=fig.colorbar(p3,orientation='horizontal',ticks=np.arange(0.0,8,2))
> cb.ax.xaxis.set_ticks(np.arange(0,8,2))
> the colorbar vanishes and instead I have 4 ticks with the labels
> 0.8,1.6,2.4,3.2
> 
> Thank you for your help,
> Markus
> 
> 

Markus,

The problem here is not the specification of the ticks, it is the actual 
range of the colorbar, which is taken from the norm object used in the 
color mapping.  Try this (in ipython -pylab):

imshow(rand(10,10)*8, vmin=0, vmax=8)
colorbar(ticks=[0,2,4,6,8])

Alternatively, you can use the set_clim() method on any Mappable such as 
an image, or the pyplot clim() function, to set the limits.

Note also that to get the sequence [0,2,4,6,8] you need arange(0,9,2), 
not arange(0,8,2).  Or you can use linspace(0,8,5) if you prefer.

Eric

I should perhaps mention, that if i try
cbar=fig.colorbar(p1,orientation='horizontal',ticks=[0.0,2.0,4.0,6.0,8.0])
cbar.ax.set_xticklabels(['0', '2', '4','6','8'])
the colorbar is drawn correctly, but I get the label 0 at position 2, the
label 2 at position 4 and 4 at pos. 6, the labels at the end are not
drawn...

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Hello,

I have the problem, that sometimes the first and last ticklabel of a
colorbar is not drawn. E.g. if I create a colorbar through
fig.colorbar(p3,orientation='horizontal',ticks=np.arange(0.0,8,2))
I only get ticklabels at 2,4,6, but I would like it to have 0,2,4,6,8 and I
don't know how to control this behaviour. If I do
cb=fig.colorbar(p3,orientation='horizontal',ticks=np.arange(0.0,8,2))
cb.ax.xaxis.set_ticks(np.arange(0,8,2))
the colorbar vanishes and instead I have 4 ticks with the labels
0.8,1.6,2.4,3.2

Thank you for your help,
Markus


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Hi,

I can confirm the crash of python.exe when saving PNG files using 
matplotlib 0.98.5.3 under Python 2.5.4 and 2.6.2 (32 bit binaries from 
python.org) on Windows Vista 64 bit. Saving to a PDF file works. The 
crash occurs in _png.write_png(). When replacing the file _png.pyd with 
version 0.98.5.2 saving of PNG files works. There were no changes in the 
write_png function since 0.98.5.2.

import matplotlib
matplotlib.use('Agg')
from matplotlib import pylab
pylab.plot([0], [0])
pylab.savefig("test.png") # crashes here
pylab.close()

Thanks,

Christoph

Hi again,

John Hunter wrote:
> 
> One thing I just noticed -- you call show before savefig.   show is
> supposed to be the last line in your script, and should only be called
> once.  Does moving it to the end help?

No, that's just an artifact of my trying a number of things :-)

for the pdf file save it makes no difference (but I tried both ways).

In the case of the png it always crashes, though it does create a zero-byte
file with the correct name.

Esmail

On Mon, May 25, 2009 at 1:01 PM, Esmail <eb...@ho...> wrote:
> Hello John,
>
> \John Hunter wrote:
>> On Mon, May 25, 2009 at 12:32 PM, Esmail <eb...@ho...> wrote:
>>> Hi all,
>>>
>>> I'm new to pylab/matplotlib, so perhaps I am making a mistake here,
>>> but when I try to save a plot under Windows as a png file, the program
>>> crashes (pdf works fine).
>>>
>>
>> I don't have a windows box to test on today (I can try tomorrow from
>> work).
>
> That would be helpful.
>
>> Most likely, you have a problem of an install over an old
>> install.  Try installing mpl and numpy cleanly by removing all the
>> numpy* and matplotlib* files from your site-packages dir and
>> reinstalling.
>
> I didnt' have either of those packages installed before, so that
> should not be a problem, but I will take a look at the links you
> sent.
>
> Thanks .. it'll be interesting to see if the problem can be
> reproduced.


One thing I just noticed -- you call show before savefig.  show is
supposed to be the last line in your script, and should only be called
once.  Does moving it to the end help?

JDH

Hello John,

\John Hunter wrote:
> On Mon, May 25, 2009 at 12:32 PM, Esmail <eb...@ho...> wrote:
>> Hi all,
>>
>> I'm new to pylab/matplotlib, so perhaps I am making a mistake here,
>> but when I try to save a plot under Windows as a png file, the program
>> crashes (pdf works fine).
>>
> 
> I don't have a windows box to test on today (I can try tomorrow from
> work). 

That would be helpful.

> Most likely, you have a problem of an install over an old
> install.  Try installing mpl and numpy cleanly by removing all the
> numpy* and matplotlib* files from your site-packages dir and
> reinstalling.  

I didnt' have either of those packages installed before, so that
should not be a problem, but I will take a look at the links you
sent.

Thanks .. it'll be interesting to see if the problem can be
reproduced.

Esmail

On Mon, May 25, 2009 at 12:32 PM, Esmail <eb...@ho...> wrote:
> Hi all,
>
> I'm new to pylab/matplotlib, so perhaps I am making a mistake here,
> but when I try to save a plot under Windows as a png file, the program
> crashes (pdf works fine).
>

I don't have a windows box to test on today (I can try tomorrow from
work). Most likely, you have a problem of an install over an old
install.  Try installing mpl and numpy cleanly by removing all the
numpy* and matplotlib* files from your site-packages dir and
reinstalling.  See also

http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#matplotlib-install-location
http://matplotlib.sourceforge.net/faq/installing_faq.html#cleanly-rebuild-and-reinstall-everything

JDH

On Mon, May 25, 2009 at 12:35 PM, Alan G Isaac <ala...@gm...> wrote:
> What is the "right" way to produce date-range bars,
> like the recession bars in
> http://research.stlouisfed.org/fred2/series/TB3MS?cid=116


axvspan.  See

  http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.axvspan
  http://matplotlib.sourceforge.net/examples/pylab_examples/axhspan_demo.html

JDH

On Mon, May 25, 2009 at 7:16 AM,  <jor...@ya...> wrote:
>
>
> Hi,
> I am trying to use matplotlib to visually explore some data. I started
> from the "event_handling example code: data_browser.py" example, but
> wanted to go a bit further. The idea is to have two plots and an image
> linked together. The first plot represents a measure calculated from
> an image region at different times of the day. Selecting one of this
> measures shows the corresponding image, and some other measure calculated
> from the individual pixels. Further on, selecting in the image or the
> second plot should highlight the corresponding point in the plot or pixel
> on the image, respectively (That is, the first plot is linked to the image,
> and the image and the second plot are linked together).
> My problem is that on the function being called upon and event, I always
> get events generated by the image, even when the moused was clicked on one of
> the other plots. The plots behave ok.
> The coded below is a simplified functional version (the measures here are
> trivial, and I haven't included the actions when the user selects the image or
> the second plot), which exhibits this behavior. What I see when executing this
> code is for example:
>

It looks like you found a pretty significant bug -- the Artist.pick
method forwards the event to all of it's children, whether or not the
pick event happened in the same Axes as the event being queried.  Not
only is this inefficient, it can create false positives when the two
axes share a similar coord system.  I just committed a fix to svn, to
make sure the artist axes instance is the same as the pick event
inaxes attribute before forwarding on the call.  artist.Artist.pick
now reads:

        # Pick children
        for a in self.get_children():
            # make sure the event happened in the same axes
            ax = getattr(a, 'axes', None)
            if mouseevent.inaxes==ax:
                a.pick(mouseevent)

This seems to fix the problem you identified -- give svn r7141 or
later a test drive if you have access

  http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-svn

JDH

What is the "right" way to produce date-range bars,
like the recession bars in
http://research.stlouisfed.org/fred2/series/TB3MS?cid=116

Thanks,
Alan Isaac

Hi all,

I'm new to pylab/matplotlib, so perhaps I am making a mistake here,
but when I try to save a plot under Windows as a png file, the program
crashes (pdf works fine).

This is the short script I am running:

-------------

import pylab as plt

plt.grid(True)

# plot a point
x = 1.5
y = 0.7
plt.plot([x], [y], 'ro')

plt.show()
#plt.savefig('plot_point2.pdf')
plt.savefig('plot_point2.png')

--------------

Win XP Prof, SP 2. Downloaded maptplotlib 0.98.5.3 today along with
numpy 1.3.0 (running Python 2.6.1).

Can someone else reproduce this problem? Is this a known problem?

Thanks,
Esmail

Jean-Christophe Penalva wrote:
>     Hello,
> 
>  i draw some rectangle (with PolyCollection) on one figure. I'd like to put
> around (on the right vertical, or at the bottom horizontal) a colormap 
> with the
> min and max values (as in
> http://matplotlib.sourceforge.net/examples/pylab_examples/colorbar_tick_labelling_demo.html) 
> 
> 
>  Here is a part of my code
> 
> ...
> c = collections.PolyCollection(list_rect)
> c.set_array(liste_colormap)
> c.set_cmap(cm.hot)

c is a PolyCollection instance

> fig = plt.figure(figsize=(16, 12))
> ax = fig.add_subplot(111)
> ax.add_collection(c)
> ax.set_xlim(xorig, xmax)
> ax.set_ylim(yorig, ymax)
> ax.set_yticks((ymax/6, (ymax/6)*3, (ymax/6)*5))
> ax.set_yticklabels(('Rangee 1', 'Rangee 2','Rangee 3'))
> plt.title(str(num_semaine)+"-"+str(annee))
> cmap=cmap,norm=norm,orientation='horizontal')
> plt.colorbar(cax=c, ax=ax)

but cax is looking for an axes instance in which to draw the colorbar. 
Try omitting that kwarg.  The colorbar axes will be made automatically.

Eric

> plt.plot()
> plt.savefig("s"+str(num_semaine)+"-"+str(annee)+".png")
> 
>  At the end, there's a message :
> Traceback (most recent call last):
>  File "/.../graph4.1.2.py", line 260, in <module>
>    plt.colorbar(cax=c, ax=ax)
>  File "/usr/lib/python2.6/dist-packages/matplotlib/pyplot.py", line 
> 1326, in
> colorbar
>    ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
>  File "/usr/lib/python2.6/dist-packages/matplotlib/figure.py", line 
> 1002, in
> colorbar
>     cax.hold(True)
> AttributeError: 'PolyCollection' object has no attribute 'hold'
> 
>  Any idea ??
> 
>  Thank you.
> 
> ######################################################################
> Jean-Christophe Penalva
> Centre Informatique National de l'Enseignement Superieur (CINES)
> Montpellier, FRANCE
> Tel : 33 4 67 141 414    Fax : 33 4 67 523 763
> http://www.cines.fr/
> 
> 
> ------------------------------------------------------------------------
> 
> ------------------------------------------------------------------------------
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> ------------------------------------------------------------------------
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> _______________________________________________
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On Mon, May 25, 2009 at 9:02 AM, collern2 <noe...@gm...> wrote:
>
> I'm trying to have the points start from the x-axis (similar to a histogram)
> and draw lines upwards. I've attached an image of the program output, as you
> can see - there are no red lines from 0-200 on the y-axis. Any ideas how to
> start them from zero?
>
> http://www.nabble.com/file/p23707480/image.png
>
> Sample value from list entry for time[]
> 693596.000003
> Sample value from list entry for latency[]
> 1043
>
> #########
> Sample Code
> #########
>
>
> def plot_graph():
>
> # Plotting the graph
>    plt.plot(time[5300:],latency[5300:], 'r-', linewidth=0.15)

It sounds like you want vlines

  http://matplotlib.sourceforge.net/search.html?q=codex+vlines
  http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.vlines

Eg,

  plt.vlines(time[5300:], 0, latenc[5300:], color='red', lw=0.15)

JDH

<HTML>
<HEAD>
<META content="text/html; charset=iso-8859-9" http-equiv=Content-Type>
<META content="OPENWEBMAIL" name=GENERATOR>
</HEAD>
<BODY bgColor=#ffffff>

<font size="2">  
Hello,
 
<br />

 
<br />
  i draw some rectangle (with PolyCollection) on one figure. I'd like to 
put
 
<br />
around (on the right vertical, or at the bottom horizontal) a colormap with 
the
 
<br />
min and max values (as 
in
 
<br />
<a target="_blank" href="http://matplotlib.sourceforge.net/examples/pylab_examples/colorbar_tick_labelling_demo.html">http://matplotlib.sourceforge.net/examples/pylab_examples/colorbar_tick_labelling_demo.html</a>)
 
<br />

 
<br />
  Here is a part of my 
code
 
<br />

 
<br />
<span style="font-family: courier new,courier,monospace;">...
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
c = 
collections.PolyCollection(list_rect)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
c.set_array(liste_colormap)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
c.set_cmap(cm.hot)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
fig = plt.figure(figsize=(16, 
12))
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax = 
fig.add_subplot(111)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax.add_collection(c)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax.set_xlim(xorig, 
xmax)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax.set_ylim(yorig, 
ymax)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax.set_yticks((ymax/6, (ymax/6)*3, 
(ymax/6)*5))
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
ax.set_yticklabels(('Rangee 1', 'Rangee 2','Rangee 
3'))
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
plt.title(str(num_semaine)+&quot;-&quot;+str(annee))
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
cmap=cmap,norm=norm,orientation='horizontal')
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
plt.colorbar(cax=c, 
ax=ax)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
plt.plot()
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
plt.savefig(&quot;s&quot;+str(num_semaine)+&quot;-&quot;+str(annee)+&quot;.png&quot;)
 </span>
<br />

 
<br />
  At the end, there's a message 
:
 
<br />
<span style="font-family: courier new,courier,monospace;">Traceback (most recent call 
last):
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
  File &quot;/.../graph4.1.2.py&quot;, line 260, in 
&lt;module&gt;
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
    plt.colorbar(cax=c, 
ax=ax)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
  File &quot;/usr/lib/python2.6/dist-packages/matplotlib/pyplot.py&quot;, 
line 1326, 
in
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
colorbar
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
    ret = gcf().colorbar(mappable, cax = cax, ax=ax, 
**kw)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
  File &quot;/usr/lib/python2.6/dist-packages/matplotlib/figure.py&quot;, 
line 1002, 
in
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
colorbar
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
    
cax.hold(True)
 </span>
<br style="font-family: courier new,courier,monospace;" /><span style="font-family: courier new,courier,monospace;">
AttributeError: 'PolyCollection' object has no attribute 
'hold'
 </span>
<br />

 
<br />
  Any idea 
??
 
<br />

 
<br />
  Thank 
you.
 
<br />

 
<br />
###################################################################### 

 
<br />
Jean-Christophe Penalva 

 
<br />
Centre Informatique National de l'Enseignement Superieur (CINES) 

 
<br />
Montpellier, 
FRANCE
 
<br />
Tel : 33 4 67 141 414    Fax : 33 4 67 523 
763
 
<br />
<a target="_blank" href="http://www.cines.fr/">http://www.cines.fr/</a>
 
<br />
</font>
</BODY>
</HTML>

I'm trying to have the points start from the x-axis (similar to a histogram)
and draw lines upwards. I've attached an image of the program output, as you
can see - there are no red lines from 0-200 on the y-axis. Any ideas how to
start them from zero?

http://www.nabble.com/file/p23707480/image.png 

Sample value from list entry for time[]
693596.000003
Sample value from list entry for latency[]
1043

#########
Sample Code
#########


def plot_graph():

# Plotting the graph
    plt.plot(time[5300:],latency[5300:], 'r-', linewidth=0.15)

    # Define the axes
    y_label = [0, 200, 400, 600, 800, 1000, 1200]
    plt.axes().set_xlim(xmin=datetime.datetime(1900,1,1,0,0,0,0),
xmax=time[-1])
    plt.axes().set_ylim(ymin=0, ymax=1400)
    plt.axes().set_xticklabels(time, fontdict=None, minor=False, size=10)
    plt.axes().set_yticklabels(y_label, fontdict=None, minor=False, size=10)

    # Labeling the graph
    ax = p.subplot(111)
    ax.xaxis.set_major_locator(MaxNLocator(7))
    plt.gca().xaxis.set_major_formatter(DateFormatter('%M:%S'))
    plt.xlabel(x_axis)
    plt.ylabel(y_axis)
    plt.title(title)

    # Grid
    plt.grid(True)
    plt.grid(alpha=0.1, color='black', linestyle='-', linewidth=0.1)
    plt.savefig(figure)

# plot the graph
plot_graph()
-- 
View this message in context: http://www.nabble.com/Ensure-vertical-lines-start-from-x-axis-tp23707480p23707480.html
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Hi,
I am trying to use matplotlib to visually explore some data. I started
from the "event_handling example code: data_browser.py" example, but
wanted to go a bit further. The idea is to have two plots and an image
linked together. The first plot represents a measure calculated from
an image region at different times of the day. Selecting one of this
measures shows the corresponding image, and some other measure calculated
from the individual pixels. Further on, selecting in the image or the
second plot should highlight the corresponding point in the plot or pixel
on the image, respectively (That is, the first plot is linked to the image,
and the image and the second plot are linked together).
My problem is that on the function being called upon and event, I always
get events generated by the image, even when the moused was clicked on one of
the other plots. The plots behave ok.
The coded below is a simplified functional version (the measures here are
trivial, and I haven't included the actions when the user selects the image or
the second plot), which exhibits this behavior. What I see when executing this
code is for example:

Actions (click on)              Results (from the print statement on the
onpick() function)

plot1                   plot1
                        image2

image2                  image2

plot3                   plot3
                        image2

Am I doing something wrong? I am new to both python and matplotlib, so if you
see something that could be done in a better way, please tell me.

Jorges


----- Test code -----
import os
import sys
import glob
import re
import fnmatch
import Image as im
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
import scipy.stats

class LCRBrowser():
    """
    Permits to visualize log chromaticity ratios and related things for
    analysing static images taken at throughout a period of time
    """
    def __init__(self, data):
        # Initialize instance attributes
        self.lcr = np.asarray(map((lambda x: x['lcr']), data))
        self.lcr_ind = np.asarray(map((lambda x: x['lcr_ind']), data))
        self.img = np.asarray(map((lambda x: x['img']), data))
        self.lastind = 0
        # Initial drawing and picking init
        self.fig = plt.figure()
        self.ax1 = self.fig.add_subplot(311)
        self.ax2 = self.fig.add_subplot(312)
        self.ax3 = self.fig.add_subplot(313)
        self.plot1, = self.ax1.plot(self.lcr, 'o', picker=5)
        self.selected, = self.ax1.plot([self.lcr[0]], 'o', ms=12, alpha=0.4,
                                  color='yellow', visible=False)
        self.img2 = self.ax2.imshow(self.img[0], visible=True, picker=2,\
                                    interpolation='nearest')
        self.plot3, = self.ax3.plot(self.lcr_ind[0][:], 'o', visible=True, picker=5)
        print type(self.plot3)
        self.fig.canvas.mpl_connect('pick_event', self.onpick)
        self.fig.canvas.draw()

    def onpick(self, event):
        x2 = event.mouseevent.ydata
        if event.artist == self.plot1:
            print 'plot1\n'
            N = len(event.ind)
            if not N: return True
            distances = x2-self.lcr[event.ind]
            indmin = distances.argmin()
            dataind = event.ind[indmin]
            self.lastind = dataind
        elif event.artist == self.img2:
            print 'img2\n'
        elif event.artist == self.plot3:
            print 'plot3\n'
        else:
            print 'didn\'t detect artist'
            print str(event.artist)
            return True
        self.update()

    def update(self):
        if self.lastind is None: return

        ind = self.lastind
        self.img2.set_data(self.img[ind])
        a = self.lcr_ind[ind][:]
        self.plot3.set_data((range(len(a)), a))
        self.fig.canvas.draw()

def main():
    results = []
    for name in range(5):

        img = np.random.rand(5,4,3)
        lcr = sp.stats.gmean(np.mean(np.mean(img, 0), 0))
        lcr_ind = sp.stats.gmean(img, 2).reshape(-1,1)
        result = {'lcr': lcr, 'lcr_ind':lcr_ind, 'img':img}
        results.append(result)

    LCRBrowser(results)

if __name__ == '__main__':
    main()

----- code end -----



      

Forgot to cc the list.....JRC

John R. Cary wrote:
> John Hunter wrote:
>> On Sun, May 24, 2009 at 11:18 AM, John R. Cary <ca...@tx...> wrote:
>>  
>>> $ python setup.py install --prefix=/d/facets/contrib
>>> ============================================================================ 
>>>
>>> BUILDING MATPLOTLIB
>>>            matplotlib: 0.98.5
>>>                python: 2.5.2 (r252:60911, Dec 15 2008, 17:11:36)  [GCC
>>>                        3.4.6 20060404 (Red Hat 3.4.6-10)]
>>>              platform: linux2
>>>
>>> REQUIRED DEPENDENCIES
>>>                 numpy: 1.2.1.1
>>>             freetype2: 9.7.3
>>>
>>> OPTIONAL BACKEND DEPENDENCIES
>>>                libpng: 1.2.7
>>> connect 173.8.244.121 port 6000: Connection timed out
>>> X connection to foo.bar.com:12.0 broken (explicit kill or server 
>>> shutdown).
>>>
>>> Is this expected?  Any way around?
>>>
>>> Thanks......John Cary
>>>     
>>
>> It is not expected in that I do not know why the connection was broken
>> (did it once exits, do you expect X connectivity in your build
>> environment?).  I am not sure why the X connection was broken, whether
>> you wanted it, or whether you wanted it to persist.  mpl can be built
>> w/o an X connection, but not all of the mpl backends can.  Details on
>> all of the mpl backends can be found here:
>>
>> http://matplotlib.sourceforge.net/faq/installing_faq.html#backends
>>
>> A plain vanilla mpl install which can generate PS, PDF, SVG and PNG
>> should be buildable w/o an X connection.  You can copy the
>> setup.cfg.template file which lives alongside setup.py to setup.cfg
>> and edit it to turn off optional GUI backend building.
>>
>> But if you want an mpl install that works with one or more GUIs, you
>> may need an X connnection.  That is because mpl tries to import one or
>> more GUI toolkits at build time to see if they are present as part of
>> an auto-configure routine.  If they are present, we try and build our
>> extensions for them.  So, for example, when we try and import pygtk to
>> see if we should build our gtk extensions, an X connection is made.
>> You might be able to work around this by explicitly stating in
>> setup.cfg which backends you want to build, turning off all
>> non-essential ones.
>>
>>   
> Thanks for your help.  Uncommenting the GUI front end lines,
>
> #gtk = False
> #gtkagg = False
> #tkagg = False
> #wxagg = False
> #macosx = False
>
> allowed this to build.
>
> Then going back and ssh'ing to the machine with X-forwarding (-Y) worked
> as well.  I don't understand enough to know why the second worked, but
> it did.
>
> Best regards....John Cary
>
>
>
>

On Mon, May 25, 2009 at 1:03 AM, Robert Cimrman <cim...@nt...> wrote:
> Ondrej Certik wrote:
>>
>> On Fri, May 22, 2009 at 3:37 PM, Ondrej Certik <on...@ce...> wrote:
>>>
>>> Thanks a lot John. I tried that and it does what I want. I just need
>>> to convert and probably average my 3 different values at the 3
>>> vertices of the triangle and color the triangle with that color. When
>>> I get it working, I'll send you a picture. :)
>>
>> Ok, I made a progress, it seems it's working. Script and picture
>> attached. You can compare to the mayavi plot above, it's almost
>> identical now. It took my some time playing with different parameters
>> of mpl to get here and I think it looks quite good. Still one can see
>> the artefacts though as John predicted, due to mpl not interpolating
>> the triangles.
>
> Nice!
>
> Just to prod you a bit: If you want to get rid of the hard mayavi dependence
> of femhub for 3D plots too, you could hack a (perspective/whatever)
> projection of 3D surface to 2D, remove invisible faces (normal points
> backwards) and plot the rest by the painter's algorithm (far faces first).

Well, I spent one afternoon playing with cairo, trying to implement
the triangle interpolation and the result was slower than matplotlib.
So gave up and I'll just use what can be done with mpl currently.

As to mayavi, I'd rather make it easier to install. The only tough
dependency is VTK, that takes lots of time to build, we already got
rid of all the others, so that's good.

Ondrej

Ondrej Certik wrote:
> On Fri, May 22, 2009 at 3:37 PM, Ondrej Certik <on...@ce...> wrote:
>> Thanks a lot John. I tried that and it does what I want. I just need
>> to convert and probably average my 3 different values at the 3
>> vertices of the triangle and color the triangle with that color. When
>> I get it working, I'll send you a picture. :)
> 
> Ok, I made a progress, it seems it's working. Script and picture
> attached. You can compare to the mayavi plot above, it's almost
> identical now. It took my some time playing with different parameters
> of mpl to get here and I think it looks quite good. Still one can see
> the artefacts though as John predicted, due to mpl not interpolating
> the triangles.

Nice!

Just to prod you a bit: If you want to get rid of the hard mayavi 
dependence of femhub for 3D plots too, you could hack a 
(perspective/whatever) projection of 3D surface to 2D, remove invisible 
faces (normal points backwards) and plot the rest by the painter's 
algorithm (far faces first).

r.

On Tue, 2009-05-19 at 10:50 +0200, Thomas Pfaff wrote:
> Hello there,
> 
> when I started with matplotlib I was really enthusiastic that I can throw
> all those Excel, IDL, Matlab and whatever else I used until now overboard
> and do everything from data processing to visualization in beloved Python.
> 
> Now, here at work I have to use a Windows PC and PowerPoint and graphics
> just look best in PowerPoint if they are in EMF format.
> Funny enough there seems to be no converter on the market to properly
> convert any other vector format matplotlib can produce to EMF. Even the way
> via Inkscape fails even with simple plots.
> 
> If I'm wrong about the converter, please tell me and bury EMF-support.
> If not, what would you think would be the effort and the time needed to port
> the emf-backend to the latest version of matplotlib? I might at least give
> it a try.

EMF support in OpenOffice is quite good (OOo uses emf internally, I
believe). You can import either SVG or PDF into OOo-Draw using the
respective OOo-extension and export as emf from there. 

bc

per freem wrote:
> hi eric,
> 
> i tried your suggestion but it still did not work.  here's a code 
> snippet that demonstrates what i am trying to do:

No, I'm still baffled.  If you stack 3 subplots vertically in a figure 6 
inches high, they are going to be small.  You can fiddle with their 
sizes a bit by using subplots_adjust, but they are still going to be 
small--less than 2 inches high.  What physical dimensions do you want, 
when you say you want the plot to be "scaled bigger"?

Eric

> 
> import matplotlib.pyplot as 
> plt                                                     
> from scipy import 
> *                                                                 
>                                                                                      
> 
> my_fig = plt.figure(figsize=(7,6), 
> dpi=100)                                         
> plot_ax1 = 
> plt.subplot(3,1,1)                                                       
> a = 
> rand(100)                                                                        
> 
> b = rand(100) + 
> rand()                                                              
> plt.scatter(a, 
> b)                                                                   
> plot_ax1.set(xticklabels=[])                                                         
> 
> plot_ax1.set_aspect('equal', 
> adjustable='box')                                      
> plt.savefig('myplot.pdf')                                                              
> 
>                           
> 
> when i run this, i get a small square scatter plot in the middle of the 
> page. i want this plot to be scaled to be bigger.  if i remove the 
> set_aspect() call, the plot becomes bigger in the horizontal direction, 
> and is rectangular.
> 
> any ideas how to fix this?  thanks again.
> 
> On Sun, May 24, 2009 at 9:24 PM, Eric Firing <ef...@ha... 
> <mailto:ef...@ha...>> wrote:
> 
>     per freem wrote:
> 
>         hi all,
> 
>         i have a series of subplots organized in a column (3x1). i
>         noticed that if i plot them then matplotlib tends to make the
>         x-axis long and the y-axis short, so the plot is really
>         rectangular. how can i make it more square? if i do:
> 
>         f = figure(figsize=(7,6), dpi=100)
>         p1 = subplot(3,1,1)
>         plot(....)
>         # make axes square
>         p1.set_aspect('equal')
> 
>         p2 = subplot(3,1,2)
>         plot(....)
>         p2.set_aspect('equal')
> 
>         # etc for third subplot...
> 
>         then the subplots i get are square, but very small and squished
>         compared to the space they have in the figure (ie what i set in
>         figsize.) how can i fix this? i just want to have square axes,
>         but have each subplot take up as much space as it would if i
>         didnt set square axes... it works fine for the rectangular axes
>         case.
> 
> 
>     Maybe what you are looking for is
>     p1.set_aspect('equal', adjustable='datalim')
> 
>     It is not clear from your message, but try the modification above
>     and see if it does what you want.
> 
>     Eric
> 
>