matplotlib-users Mailing List for matplotlib

ax.stem(x, y, '-.') draws the stem second,
so that it is visible on top of the dot.

Is this intentional?
(I think it looks better with the dot on top.)
How to reverse?

Alan Isaac

If you are curious, here is what Mathematica can tell about the
integral (assuming everything constant but z):

http://pastebin.com/Gir3XZBe



On Wed, Oct 13, 2010 at 4:28 PM, Waléria Antunes David
<wal...@gm...> wrote:
> Hi all,
>
> I know here is a group for matplotlib, but can anyone help me? I need to
> pass this integral equation for for scipy.integrate pack for python.
>
> My integral equation is attached.
>
> Can anyone help me?
>
> Thanks
> Waleria.
>
> ------------------------------------------------------------------------------
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>

On Wed, Oct 13, 2010 at 1:34 PM, Jouni K. Seppänen <jk...@ik...> wrote:
> Carl Karsten <ca...@pe...> writes:
>
>> Anyone know if this message is archived somewhere:
>> "Jeez, you guys have some crazy examples. I am surprised there isn't
>> dolphins swimming around inside a sphere."
>
> You probably mean this one:
>
> http://article.gmane.org/gmane.comp.python.matplotlib.general/13648

yep - thanks.  Not exactly how I remember it from the talk.  wonder
where the story got changed.

-- 
Carl K

Hi Everyone,

This is my first post, so I'll apologize in advance for any 
inadvertent lapse in manners.

I'm using matplotlib 0.98.5.2, wxPython version 2.8-msw-unicode, on 
Windows XP Professional x64 at work (and 32bit at home).  At work I 
have a plain old Dell 2 button mouse with a scroll wheel which you 
can scroll or click as a middle mouse button.  At home I have an 
equivalent mouse from Logitec.  Both mice exhibit useful 
functionality for the "middle button" in browsers.  And I did install 
the latest Logitec drivers at home and specifically set the scroll 
click to have the functionality of a middle mouse button.

In all cases, home or work, I failed to detect a middle mouse button 
press or release event.

I've attached an example program and copied the text below.

If anyone could please check to see if this is happening for them, or 
has any idea how to fix this, I'd very much appreciate it.

Thanks,

Brian J. Soher
Duke University

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

import wxversion
wxversion.ensureMinimal('2.8')
from numpy import arange, sin, pi
import matplotlib

matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
import wx

class CanvasFrame(wx.Frame):

     def __init__(self):
         wx.Frame.__init__(self,None,-1,'CanvasFrame',size=(550,350))
         self.SetBackgroundColour(wx.NamedColor("WHITE"))

         self.figure = Figure()
         self.axes = self.figure.add_subplot(111)
         t = arange(0.0,3.0,0.01)
         s = sin(2*pi*t)

         self.axes.plot(t,s)
         self.canvas = FigureCanvas(self, -1, self.figure)

         self.sizer = wx.BoxSizer(wx.VERTICAL)
         self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
         self.SetSizer(self.sizer)
         self.Fit()

         self.connect()

     def connect(self):
         'connect to all the events we need'
         self.cidpress   = 
self.figure.canvas.mpl_connect('button_press_event',   self.on_press)
         self.cidrelease = 
self.figure.canvas.mpl_connect('button_release_event', self.on_release)
         self.cidscroll  = 
self.figure.canvas.mpl_connect('scroll_event',         self.on_scroll)
         self.cidmotion  = 
self.figure.canvas.mpl_connect('motion_notify_event',  self.mouseMotion)
         self.cidkeydown = 
self.figure.canvas.mpl_connect('key_press_event',      self.keyDown)
         self.cidkeyup   = 
self.figure.canvas.mpl_connect('key_release_event',    self.keyUp)

     def on_press(self, evt):
         print ' press evt.button = '+str(evt.button)
         if evt.button == 1:
             self.leftButtonDown(evt)
         elif evt.button == 2:
             self.middleButtonDown(evt)
         elif evt.button == 3:
             self.rightButtonDown(evt)

     def on_release(self, evt):
         if evt.button == 1:
             self.leftButtonUp(evt)
         elif evt.button == 2:
             print 'evt.button == 2'
             self.middleButtonUp(evt)
         elif evt.button == 3:
             self.rightButtonUp(evt)

     def on_scroll(self, evt):
         if evt.button == 'up':
             self.scrollUp(evt)
         elif evt.button == 'down':
             self.scrollDown(evt)

     def keyDown(self, evt):
         print ' keyDown()'

     def keyUp(self, evt):
         print ' keyUp()'

     def scrollDown(self, evt):
         print ' scrollDown()'

     def scrollUp(self, evt):
         print ' scrollUp()'

     def leftButtonDown(self, evt):
         print ' leftButtonDown()'

     def leftButtonUp(self, evt):
         print ' leftButtonUp()'

     def middleButtonDown(self, evt):
         print ' middleButtonDown()'

     def middleButtonUp(self, evt):
         print ' middleButtonUp()'

     def rightButtonDown(self, evt):
         print ' rightButtonDown()'

     def rightButtonUp(self, evt):
         print ' rightButtonUp()'

     def mouseMotion(self, evt):
         print ' mouseMotion()'

     def OnPaint(self, event):
         self.canvas.draw()


class App(wx.App):

     def OnInit(self):
         'Create the main window and insert the custom frame'
         frame = CanvasFrame()
         frame.Show(True)

         return True

app = App(0)
app.MainLoop()

Thank you so much Ben,
Now the plot comes correctly after trying your suggestion.
 I set  *cmap.set_under() and cmap.set_over()* before calling contourf() and
now the plot comes correctly irrespective of cal to the colorbar() function.

Thanks,
Bala

On Thu, Oct 14, 2010 at 5:09 PM, Benjamin Root <ben...@ou...> wrote:

> On Thu, Oct 14, 2010 at 9:50 AM, Bala subramanian <
> bal...@gm...> wrote:
>
>> Dear Ben,
>> you are right, contouf() omits the red and blue values without colorbar.
>>
>> 1) If i call set_under() and set_over() before calling contourf(), i get
>> an error. This is obvious because i am setting a property of the countourf()
>> object before creating it. I get *NameError: name 'CNF' is not defined*
>>
>> 2) If i set set_under() and set_over(), after the colorbar(), the
>> colorbar() is shown correctly but contourf() again dose not create the red
>> and blue values. I have also attached my test matrix file with this mail.
>>
>> Bala
>>
>>
> Bala, in the code example you gave, you have a cmap object that you pass
> into contourf.  The cmap object that you are accessing after contourf is
> exactly the same object, so why not just call "cmap.set_over()" before the
> contourf()?
>
> Ben Root
>
>

On Thu, Oct 14, 2010 at 4:54 AM, Pedro M. Ferreira
<pmf...@gm...>wrote:

> Well, it did help at least to understand a bit more, although I still
> fail to do it.
>
> The code in the file axes3d.py says that keyword arguments passed to
> scatter3D are passed on to matplotlib.scatter, so I would expect the
> following two figures to work similarly in terms of color:
>
> import matplotlib as mpl
> import numpy as np
> from mpl_toolkits.mplot3d import Axes3D
>
> f1=mpl.figure()
> mpl.scatter(X,Z,c=np.abs(Z/3.0)) # My Z is in [-3.0, 3.0]
>
> f2=mpl.figure()
> ax=Axes3D(f2)
> ax.scatter3D(X,Y,Z,c=abs(Z/3.0))
>
> mpl.show()
>
> It happens that f1 shows what I expect, a scatter in 2D with the
> colors of markers mapped to a colormap (I believe its jet).
> For f2, the markers appear as white filled circles.
>
> I am using python 2.6.6 in Debian squeeze (amd64) with
> python-matplotlib version 0.99.3-1
>
>
Ah, that might explain the problem!  I don't have the time to verify this
now, but I seem to remember doing a bug fix where some of the parameters
being passed into scatter3d() was being 'swallowed' and not passed down to
scatter().  You might need to upgrade to the maintenance branch of mpl
v1.0.0 in svn.  Note that the problem was probably fixed *after* the release
of v1.0.0 if I remember it correctly, so you will need the latest revised
release from source control.

If you need help with that, just let us know.

Ben Root

On Thu, Oct 14, 2010 at 7:58 AM, Jeff Whitaker <js...@fa...> wrote:

>   On 10/14/10 5:21 AM, Bala subramanian wrote:
> > Friends,
> > I wrote a small program to plot a matrix using contourf function. The
> > code is pasted below. The image that is created is attached (1.png).
> > Now if i make the same figure, just by omitting the colorbar by
> > commenting the line, then i see that the contourf output is different
> > (2.png). Why this difference ? Whether i include colorbar or not, the
> > contourf should create similar plot right ?. Am i wrong something
> > wrong in the code. Kindly help me to understand the problem.
>
> Bala:  The shape of the plot changes, because colorbar adjusts the axes
> to make room for itself.  Otherwise the plots look identical.  Am I
> missing something?
>
> -Jeff
>
>
Jeff, Bala:

I see what is wrong... the blues and reds are missing if Bala takes out the
colorbar call.  This is because the calls to cmap.set_under() and
cmap.set_over() are being done *after* the call to contourf().  Somehow, if
colorbar() is called, then the data in the colormap gets updated for the
process of rendering the colorbar, but it does not happen otherwise.

A lot of stuff in the colormaps are designed around the idea of deferred
processing to save memory and processing time.  I am not sure if this is a
bug or not, but I would have expected that the call to show() would properly
updated the contourf data, irrespective of the call to colorbar or not.  I
would be curious to see what would happen if set_under and set_over were
called after the call to colorbar.

Bala, in case you haven't noticed yet, a proper workaround would be calling
set_under and set_over *before* calling contourf().

Ben Root

  On 10/14/10 5:21 AM, Bala subramanian wrote:
> Friends,
> I wrote a small program to plot a matrix using contourf function. The 
> code is pasted below. The image that is created is attached (1.png). 
> Now if i make the same figure, just by omitting the colorbar by 
> commenting the line, then i see that the contourf output is different 
> (2.png). Why this difference ? Whether i include colorbar or not, the 
> contourf should create similar plot right ?. Am i wrong something 
> wrong in the code. Kindly help me to understand the problem.

Bala:  The shape of the plot changes, because colorbar adjusts the axes 
to make room for itself.  Otherwise the plots look identical.  Am I 
missing something?

-Jeff

Well, it did help at least to understand a bit more, although I still
fail to do it.

The code in the file axes3d.py says that keyword arguments passed to
scatter3D are passed on to matplotlib.scatter, so I would expect the
following two figures to work similarly in terms of color:

import matplotlib as mpl
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

f1=mpl.figure()
mpl.scatter(X,Z,c=np.abs(Z/3.0)) # My Z is in [-3.0, 3.0]

f2=mpl.figure()
ax=Axes3D(f2)
ax.scatter3D(X,Y,Z,c=abs(Z/3.0))

mpl.show()

It happens that f1 shows what I expect, a scatter in 2D with the
colors of markers mapped to a colormap (I believe its jet).
For f2, the markers appear as white filled circles.

I am using python 2.6.6 in Debian squeeze (amd64) with
python-matplotlib version 0.99.3-1

Thanks for any help or comment.

On Thu, Oct 14, 2010 at 1:59 AM, Benjamin Root <ben...@ou...> wrote:
> On Wed, Oct 13, 2010 at 5:46 PM, Pedro M. Ferreira <pmf...@gm...>
> wrote:
>>
>> Hi All,
>>
>> I have been trying to make a 3D scatter plot using mplot3d and I would
>> like the markers to have their colour according to the Z value.
>> >From what I understood in the tutorial and API I have to use the cmap
>> and norm kwargs, but all my attempts failed.
>>
>> I am trying to do it like this:
>> ax.scatter(x,y,z,s=10,marker='o',c=????,cmap=????,norm=????)
>>
>> However I am not sure what to pass to c, cmap and norm.
>>
>> Any help ?
>> Thanks.
>>
>> Cheers,
>> Pedro
>>
>
> It has been a while since I played around with this, and I am working
> completely off my memory right now, but here goes...
>
> If I remember correctly, the 'c' values can be an array that is parallel to
> the x, y, z arrays and specifies the color in one of two ways.  First, the
> array could have a list of color specs (e.g., 'k', 'r', 'b').  Second, the
> array could contain values that would be passed to the colormap to retrieve
> the colorspec according to where the value lies on the scale of 0 to 1.
>
> If you want to use just simple colors, go ahead and just make a list of
> characters like so:
>
> ['k', 'r', 'g', 'g', 'b', 'k']
>
> based on whatever the values are in z (I recommend using numpy's where()
> function for this.
>
> I am not 100% sure if you need the following or if mpl will just autoscale
> for you.  So you might want to first just try out using the 'c' keyword.
>
> If you want to use the colormap, then the values passed into c either has to
> be the normalized values of z
>
> c = (z - z.min()) / (z.max()-z.min())
>
> or you can use one of the Normalize classes in matplotlib.color (assuming
> you have imported matplotlib.pyplot as plt):
>
> norm = plt.Normalize(z.min(), z.max())
>
> or whatever minimum and/or maximum values you wish.
>
> I believe you can use the default colormap by not specifying anything at all
> for cmap, but I could be wrong here.  You can also specify any colormap by
> their name like 'spring', 'jet', 'bone' and so on.
>
> I hope that helps.
> Ben Root
>
>

Thank you very much it all works fine now,

I downloaded and installed the font in  
http://archive.ubuntu.com/ubuntu/pool/main/t/ttf-wqy-zenhei/ttf-wqy-zenhei_0.5.23.orig.tar.gz, as you advised. Then i deleted the fontList.cache de matplotlib to force its updating, and ran the script with """ fontname="WenQuanYi Zen Hei"  
"""

I can now display the characters and save the plots as pdf.

Thanks a lot for you wise help, i learned a lot.

Benoit


Quoting sunqiang <sun...@gm...>:

> On Wed, Oct 13, 2010 at 5:30 PM, Benoit Gaillard
> <ben...@un...> wrote:
>> Actually, i must apologize
>>
>> By calling fonts by their real name eg: "WenQuanYi Zen Hei" (instead of
>> wqy-microhei, their file name), i can display them. So no worries for issue
>> 2. However, I do not manage to export the png to pdf or eps due to the
>> following error:
>>
>> "TrueType font is missing table"
>>
>> Is that due to my changing the font name from *.ttc to *.ttf?
> the "c" in ".ttc" means "Container", wqy-*.ttc includes more than one ttf.
> so, maybe just rename *.ttc to *.ttf is not enough.
> I guess, You can find some font tools to extract ttf from ttc, or
> install another Chinese font provided by your operation system. or
> just download the ttf version from
> http://packages.ubuntu.com/hardy/ttf-wqy-zenhei (directly:
> http://archive.ubuntu.com/ubuntu/pool/main/t/ttf-wqy-zenhei/ttf-wqy-zenhei_0.5.23.orig.tar.gz)
> I don't know font enough, so I didn't test the first method. I only
> test the last method.
> after download the font into my Window machine. it can display Chinese
> with "'WenQuanYi Zen Hei'" and save figure to png and pdf.(ps, eps
> doesn't work, even without a error log").
> (my Linux machine(Ubuntu Hardy 8.04) can display Chinese and save
> figure to png, pdf, ps, eps correctly already.)
>>
>> regards,
>>
>> benoit
>>
>>
>> Quoting Benoit Gaillard <ben...@un...>:
>>
>>> Hi,
>>>
>>> When looking in my fontFile.cache, i did not find any of
>>> '/usr/share/fonts/truetype/wqy/wqy-zenhei.ttf',
>>> '/usr/share/fonts/truetype/wqy/wqy-microhei.ttf' or simhei. this is why
>>> i could not display the characters.
>>>
>>> I deleted the cache and re-lounched my script, so that mpl had to look
>>> for the fonts and update the cache. It added the simhei fonts to the
>>> list. I can now display chinese characters with the simhei font.
>>>
>>> I ran into 2 more issues:
>>> - Simhei "has no glyph names", which prevents me from exporting into pdf
>>> - I do not manage to make mpl take into account microhei and zenhei,
>>> whereas i have them in
>>> '/usr/share/fonts/truetype/wqy/wqy-microhei.ttc'. I changed their name
>>> to '/usr/share/fonts/truetype/wqy/wqy-microhei.ttf', and now mpl finds
>>> them. However they fail to display chinese characters
>>>
>>> So, thank you for your help, i managed to display chinese characters
>>> but there are still some issues. Do you have any idea?
>>>
>>> Benoit
>>>
>>>
>>> Quoting sunqiang <sun...@gm...>:
>>>
>>>> oh, only test it on Windows yet.  both "sim hei"and "microsoft yahei"
>>>> are fontname on Windows Platform.
>>>> maybe just copy "Sim Hei" to font directory is not enough? no clue here.
>>>>
>>>> I just test the script on Linux (Ubuntu 8.04, Python 2.5, matplotlib
>>>> 0.98.4) with the follow steps:
>>>> 1, find the configure directory of matplotlib
>>>> import matplotlib as mpl
>>>> mpl.get_configdir()
>>>>
>>>> return "~/.matplotlib"
>>>> 2, in the configure directory, there is a file "fontList.cache"
>>>> I find this
>>>> (dp294
>>>> ...
>>>> S'WenQuanYi Zen Hei'
>>>> ...
>>>> S'/usr/share/fonts/truetype/wqy/wqy-zenhei.ttf'
>>>> ...
>>>>
>>>> I just know WenQuanYi is a "Chinese font"
>>>> http://packages.ubuntu.com/hardy/ttf-wqy-zenhei
>>>> 3, replace "Sim Hei" in your original script with "WenQuanYi Zen Hei",
>>>> now it can display Chinese.
>>>> both methods still work(embed fontname argument, or set
>>>> mpl.rcParams['font.sans-serif'])
>>>>
>>>> maybe you can find a font that support Chinese character on your
>>>> platform with these steps and try again?
>>>>
>>>> On Tue, Oct 12, 2010 at 10:41 PM, Benoit Gaillard
>>>> <ben...@un...> wrote:
>>>>>
>>>>> Thank you for your help,
>>>>>
>>>>> but it does not seem to work.
>>>>>
>>>>> I have downloaded simhei fonts and added it in my directory
>>>>> /usr/shared/fonts/truetype but even by using
>>>>> """fontname="simhei" """,
>>>>> or:
>>>>> """mpl.rcParams['font.sans-serif'] = ['SimHei']
>>>>> mpl.rcParams['axes.unicode_minus'] = False """
>>>>>
>>>>> i still display empty boxes instead of chinese characters.
>>>>>
>>>>> It is worth noting that these chinese characters print well on the
>>>>> console
>>>>> if i add the line:
>>>>> """for ytic in ytics:
>>>>>    print ytic"""
>>>>>
>>>>> Unfortunately, apart from copying lines of code, i cannot do much with
>>>>> the
>>>>> blog you mention, as i don't understand what is written in it.
>>>>>
>>>>> @Mike: "monospace" family is one that enables me to display accents of
>>>>> french words, for the xticks. "fantasy" family was the last family i
>>>>> tried
>>>>> for the chinese labels, but to no success.
>>>>>
>>>>> So, has anyone managed to do it? Is there something i am missing?,
>>>>>
>>>>> regards,
>>>>>
>>>>> Benoit.
>>>>>
>>>>> Quoting sunqiang <sun...@gm...>:
>>>>>
>>>>>> maybe change the line
>>>>>> """axim.set_yticklabels(ytics,fontsize=15,family='fantasy')""" to
>>>>>> """axim.set_yticklabels(ytics,fontsize=15, fontname= "simsun (founder
>>>>>> extended)")"""
>>>>>> (or replace fontname with "simhei" or "microsoft yahei") is enough.
>>>>>>
>>>>>>
>>>>>> or, put these two lines:
>>>>>> mpl.rcParams['font.sans-serif'] = ['SimHei']
>>>>>> mpl.rcParams['axes.unicode_minus'] = False
>>>>>>
>>>>>> there is a Chinese blog (not mine) maybe worth  reading:
>>>>>> http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html
>>>>>>
>>>>>> hope this help
>>>>>>
>>>>>> On Mon, Oct 11, 2010 at 3:13 AM, Benoit Gaillard
>>>>>> <ben...@un...> wrote:
>>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> How can one display Mandarin labels in a plot, as yticks_labels for
>>>>>>> example?
>>>>>>> It looks to me that there is no font in matplotlib that can display
>>>>>>> Chinese
>>>>>>> characters? I can display accentuation from 'utf8' but i could not
>>>>>>> find a
>>>>>>> font family that would display Chinese characters.
>>>>>>>
>>>>>>> Here is an example of plot that displays empty boxes instead of
>>>>>>> Chinese
>>>>>>> characters. In comments you can see various failed attempts:
>>>>>>>
>>>>>>> import matplotlib as mpl
>>>>>>> from matplotlib import cm
>>>>>>> from matplotlib import rc
>>>>>>> #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']})
>>>>>>> #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial']
>>>>>>> import matplotlib.pyplot as plt
>>>>>>>
>>>>>>> matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]]
>>>>>>> fig = plt.figure()
>>>>>>> axim = fig.add_subplot(111)
>>>>>>> #ytics: caractères chinois en utf8
>>>>>>> ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')]
>>>>>>>
>>>>>>> xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')]
>>>>>>> axim.imshow(matrix, cmap=cm.jet,
>>>>>>> interpolation='nearest',origin='lower')
>>>>>>> axim.set_xticks(range(2))
>>>>>>>
>>>>>>>
>>>>>>> axim.set_xticklabels(xtics,fontsize=15,rotation=25,ha='right',family='monospace')
>>>>>>> axim.set_yticks(range(2))
>>>>>>> axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR
>>>>>>> PL
>>>>>>> ungtiL GB')
>>>>>>> plt.show()
>>>>>>>
>>>>>>> Thank you for your help,
>>>>>>>
>>>>>>> Benoit
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> ----------------------------------------------------------------
>>>>>>> This message was sent using IMP, the Internet Messaging Program.
>>>>>>>
>>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> How can one display mandarin labels in a plot, as yticks_labels for
>>>>>>> example?
>>>>>>> It looks to me that there is no font in matplotlib that can display
>>>>>>> chinese
>>>>>>> characters? I can display accentuation from 'utf8' but i could not
>>>>>>> find a
>>>>>>> font family that would display chinese characters.
>>>>>>>
>>>>>>> Here is an example of plot that displays empty boxes instead of
>>>>>>> chinese
>>>>>>> characters. In comment you can see various failed attempts:
>>>>>>>
>>>>>>> import matplotlib as mpl
>>>>>>> from matplotlib import cm
>>>>>>> from matplotlib import rc
>>>>>>> #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']})
>>>>>>> #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial']
>>>>>>> import matplotlib.pyplot as plt
>>>>>>>
>>>>>>>     matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]]
>>>>>>>     fig = plt.figure()
>>>>>>>     axim = fig.add_subplot(111)
>>>>>>>     #ytics: caractères chinois en utf8
>>>>>>>
>>>>>>> ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')]
>>>>>>>
>>>>>>>
>>>>>>> xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')]
>>>>>>>     axim.imshow(matrix, cmap=cm.jet, interpolation='nearest',
>>>>>>> origin='lower')
>>>>>>>     axim.set_xticks(range(2))
>>>>>>>     axim.set_xticklabels(xtics,
>>>>>>> fontsize=15,rotation=25,ha='right',family='monospace')
>>>>>>>     axim.set_yticks(range(2))
>>>>>>>
>>>>>>> axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR
>>>>>>> PL SungtiL GB')
>>>>>>>     plt.show()
>>>>>>>
>>>>>>> Thank you for your help,
>>>>>>>
>>>>>>> Benoit
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Beautiful is writing same markup. Internet Explorer 9 supports
>>>>>>> standards for HTML5, CSS3, SVG 1.1,  ECMAScript5, and DOM L2 & L3.
>>>>>>> Spend less time writing and  rewriting code and more time creating
>>>>>>> great
>>>>>>> experiences on the web. Be a part of the beta today.
>>>>>>> http://p.sf.net/sfu/beautyoftheweb
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>>
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>>>>>
>>>>>
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mpl version 1.0.0

file: axes.py
line: 7214

<<<
         nr, nc = C.shape
===
         nr, nc = C.shape[:2]
 >>>

...................

While you are at it, you could also change line 6759


             numRows, numCols = C.shape

to

             numRows, numCols = C.shape[:2]

(still some other things further down then crash, but this [second fix] 
is a start on that)

A lot more work will be needed to make everything (_pcolorargs, 
PcolorImage, pcolorfast,...) work with RGB(A) arrays.  How do I get a 
password/user name to check you the svn sources so I can send in patches 
in a more useful way?  Just sign up for the devlop mailing list?

-Alexander

On Wed, Oct 13, 2010 at 5:30 PM, Benoit Gaillard
<ben...@un...> wrote:
> Actually, i must apologize
>
> By calling fonts by their real name eg: "WenQuanYi Zen Hei" (instead of
> wqy-microhei, their file name), i can display them. So no worries for issue
> 2. However, I do not manage to export the png to pdf or eps due to the
> following error:
>
> "TrueType font is missing table"
>
> Is that due to my changing the font name from *.ttc to *.ttf?
the "c" in ".ttc" means "Container", wqy-*.ttc includes more than one ttf.
so, maybe just rename *.ttc to *.ttf is not enough.
I guess, You can find some font tools to extract ttf from ttc, or
install another Chinese font provided by your operation system. or
just download the ttf version from
http://packages.ubuntu.com/hardy/ttf-wqy-zenhei (directly:
http://archive.ubuntu.com/ubuntu/pool/main/t/ttf-wqy-zenhei/ttf-wqy-zenhei_0.5.23.orig.tar.gz)
I don't know font enough, so I didn't test the first method. I only
test the last method.
after download the font into my Window machine. it can display Chinese
with "'WenQuanYi Zen Hei'" and save figure to png and pdf.(ps, eps
doesn't work, even without a error log").
(my Linux machine(Ubuntu Hardy 8.04) can display Chinese and save
figure to png, pdf, ps, eps correctly already.)
>
> regards,
>
> benoit
>
>
> Quoting Benoit Gaillard <ben...@un...>:
>
>> Hi,
>>
>> When looking in my fontFile.cache, i did not find any of
>> '/usr/share/fonts/truetype/wqy/wqy-zenhei.ttf',
>> '/usr/share/fonts/truetype/wqy/wqy-microhei.ttf' or simhei. this is why
>> i could not display the characters.
>>
>> I deleted the cache and re-lounched my script, so that mpl had to look
>> for the fonts and update the cache. It added the simhei fonts to the
>> list. I can now display chinese characters with the simhei font.
>>
>> I ran into 2 more issues:
>> - Simhei "has no glyph names", which prevents me from exporting into pdf
>> - I do not manage to make mpl take into account microhei and zenhei,
>> whereas i have them in
>> '/usr/share/fonts/truetype/wqy/wqy-microhei.ttc'. I changed their name
>> to '/usr/share/fonts/truetype/wqy/wqy-microhei.ttf', and now mpl finds
>> them. However they fail to display chinese characters
>>
>> So, thank you for your help, i managed to display chinese characters
>> but there are still some issues. Do you have any idea?
>>
>> Benoit
>>
>>
>> Quoting sunqiang <sun...@gm...>:
>>
>>> oh, only test it on Windows yet.  both "sim hei"and "microsoft yahei"
>>> are fontname on Windows Platform.
>>> maybe just copy "Sim Hei" to font directory is not enough? no clue here.
>>>
>>> I just test the script on Linux (Ubuntu 8.04, Python 2.5, matplotlib
>>> 0.98.4) with the follow steps:
>>> 1, find the configure directory of matplotlib
>>> import matplotlib as mpl
>>> mpl.get_configdir()
>>>
>>> return "~/.matplotlib"
>>> 2, in the configure directory, there is a file "fontList.cache"
>>> I find this
>>> (dp294
>>> ...
>>> S'WenQuanYi Zen Hei'
>>> ...
>>> S'/usr/share/fonts/truetype/wqy/wqy-zenhei.ttf'
>>> ...
>>>
>>> I just know WenQuanYi is a "Chinese font"
>>> http://packages.ubuntu.com/hardy/ttf-wqy-zenhei
>>> 3, replace "Sim Hei" in your original script with "WenQuanYi Zen Hei",
>>> now it can display Chinese.
>>> both methods still work(embed fontname argument, or set
>>> mpl.rcParams['font.sans-serif'])
>>>
>>> maybe you can find a font that support Chinese character on your
>>> platform with these steps and try again?
>>>
>>> On Tue, Oct 12, 2010 at 10:41 PM, Benoit Gaillard
>>> <ben...@un...> wrote:
>>>>
>>>> Thank you for your help,
>>>>
>>>> but it does not seem to work.
>>>>
>>>> I have downloaded simhei fonts and added it in my directory
>>>> /usr/shared/fonts/truetype but even by using
>>>> """fontname="simhei" """,
>>>> or:
>>>> """mpl.rcParams['font.sans-serif'] = ['SimHei']
>>>> mpl.rcParams['axes.unicode_minus'] = False """
>>>>
>>>> i still display empty boxes instead of chinese characters.
>>>>
>>>> It is worth noting that these chinese characters print well on the
>>>> console
>>>> if i add the line:
>>>> """for ytic in ytics:
>>>>    print ytic"""
>>>>
>>>> Unfortunately, apart from copying lines of code, i cannot do much with
>>>> the
>>>> blog you mention, as i don't understand what is written in it.
>>>>
>>>> @Mike: "monospace" family is one that enables me to display accents of
>>>> french words, for the xticks. "fantasy" family was the last family i
>>>> tried
>>>> for the chinese labels, but to no success.
>>>>
>>>> So, has anyone managed to do it? Is there something i am missing?,
>>>>
>>>> regards,
>>>>
>>>> Benoit.
>>>>
>>>> Quoting sunqiang <sun...@gm...>:
>>>>
>>>>> maybe change the line
>>>>> """axim.set_yticklabels(ytics,fontsize=15,family='fantasy')""" to
>>>>> """axim.set_yticklabels(ytics,fontsize=15, fontname= "simsun (founder
>>>>> extended)")"""
>>>>> (or replace fontname with "simhei" or "microsoft yahei") is enough.
>>>>>
>>>>>
>>>>> or, put these two lines:
>>>>> mpl.rcParams['font.sans-serif'] = ['SimHei']
>>>>> mpl.rcParams['axes.unicode_minus'] = False
>>>>>
>>>>> there is a Chinese blog (not mine) maybe worth  reading:
>>>>> http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html
>>>>>
>>>>> hope this help
>>>>>
>>>>> On Mon, Oct 11, 2010 at 3:13 AM, Benoit Gaillard
>>>>> <ben...@un...> wrote:
>>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> How can one display Mandarin labels in a plot, as yticks_labels for
>>>>>> example?
>>>>>> It looks to me that there is no font in matplotlib that can display
>>>>>> Chinese
>>>>>> characters? I can display accentuation from 'utf8' but i could not
>>>>>> find a
>>>>>> font family that would display Chinese characters.
>>>>>>
>>>>>> Here is an example of plot that displays empty boxes instead of
>>>>>> Chinese
>>>>>> characters. In comments you can see various failed attempts:
>>>>>>
>>>>>> import matplotlib as mpl
>>>>>> from matplotlib import cm
>>>>>> from matplotlib import rc
>>>>>> #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']})
>>>>>> #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial']
>>>>>> import matplotlib.pyplot as plt
>>>>>>
>>>>>> matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]]
>>>>>> fig = plt.figure()
>>>>>> axim = fig.add_subplot(111)
>>>>>> #ytics: caractères chinois en utf8
>>>>>> ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')]
>>>>>>
>>>>>> xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')]
>>>>>> axim.imshow(matrix, cmap=cm.jet,
>>>>>> interpolation='nearest',origin='lower')
>>>>>> axim.set_xticks(range(2))
>>>>>>
>>>>>>
>>>>>> axim.set_xticklabels(xtics,fontsize=15,rotation=25,ha='right',family='monospace')
>>>>>> axim.set_yticks(range(2))
>>>>>> axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR
>>>>>> PL
>>>>>> ungtiL GB')
>>>>>> plt.show()
>>>>>>
>>>>>> Thank you for your help,
>>>>>>
>>>>>> Benoit
>>>>>>
>>>>>>
>>>>>>
>>>>>> ----------------------------------------------------------------
>>>>>> This message was sent using IMP, the Internet Messaging Program.
>>>>>>
>>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> How can one display mandarin labels in a plot, as yticks_labels for
>>>>>> example?
>>>>>> It looks to me that there is no font in matplotlib that can display
>>>>>> chinese
>>>>>> characters? I can display accentuation from 'utf8' but i could not
>>>>>> find a
>>>>>> font family that would display chinese characters.
>>>>>>
>>>>>> Here is an example of plot that displays empty boxes instead of
>>>>>> chinese
>>>>>> characters. In comment you can see various failed attempts:
>>>>>>
>>>>>> import matplotlib as mpl
>>>>>> from matplotlib import cm
>>>>>> from matplotlib import rc
>>>>>> #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']})
>>>>>> #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial']
>>>>>> import matplotlib.pyplot as plt
>>>>>>
>>>>>>     matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]]
>>>>>>     fig = plt.figure()
>>>>>>     axim = fig.add_subplot(111)
>>>>>>     #ytics: caractères chinois en utf8
>>>>>>
>>>>>> ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')]
>>>>>>
>>>>>>
>>>>>> xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')]
>>>>>>     axim.imshow(matrix, cmap=cm.jet, interpolation='nearest',
>>>>>> origin='lower')
>>>>>>     axim.set_xticks(range(2))
>>>>>>     axim.set_xticklabels(xtics,
>>>>>> fontsize=15,rotation=25,ha='right',family='monospace')
>>>>>>     axim.set_yticks(range(2))
>>>>>>
>>>>>> axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR
>>>>>> PL SungtiL GB')
>>>>>>     plt.show()
>>>>>>
>>>>>> Thank you for your help,
>>>>>>
>>>>>> Benoit
>>>>>>
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Beautiful is writing same markup. Internet Explorer 9 supports
>>>>>> standards for HTML5, CSS3, SVG 1.1,  ECMAScript5, and DOM L2 & L3.
>>>>>> Spend less time writing and  rewriting code and more time creating
>>>>>> great
>>>>>> experiences on the web. Be a part of the beta today.
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>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>
>>>>
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On Wed, Oct 13, 2010 at 5:46 PM, Pedro M. Ferreira
<pmf...@gm...>wrote:

> Hi All,
>
> I have been trying to make a 3D scatter plot using mplot3d and I would
> like the markers to have their colour according to the Z value.
> >From what I understood in the tutorial and API I have to use the cmap
> and norm kwargs, but all my attempts failed.
>
> I am trying to do it like this:
> ax.scatter(x,y,z,s=10,marker='o',c=????,cmap=????,norm=????)
>
> However I am not sure what to pass to c, cmap and norm.
>
> Any help ?
> Thanks.
>
> Cheers,
> Pedro
>
>
It has been a while since I played around with this, and I am working
completely off my memory right now, but here goes...

If I remember correctly, the 'c' values can be an array that is parallel to
the x, y, z arrays and specifies the color in one of two ways.  First, the
array could have a list of color specs (e.g., 'k', 'r', 'b').  Second, the
array could contain values that would be passed to the colormap to retrieve
the colorspec according to where the value lies on the scale of 0 to 1.

If you want to use just simple colors, go ahead and just make a list of
characters like so:

['k', 'r', 'g', 'g', 'b', 'k']

based on whatever the values are in z (I recommend using numpy's where()
function for this.

I am not 100% sure if you need the following or if mpl will just autoscale
for you.  So you might want to first just try out using the 'c' keyword.

If you want to use the colormap, then the values passed into c either has to
be the normalized values of z

c = (z - z.min()) / (z.max()-z.min())

or you can use one of the Normalize classes in matplotlib.color (assuming
you have imported matplotlib.pyplot as plt):

norm = plt.Normalize(z.min(), z.max())

or whatever minimum and/or maximum values you wish.

I believe you can use the default colormap by not specifying anything at all
for cmap, but I could be wrong here.  You can also specify any colormap by
their name like 'spring', 'jet', 'bone' and so on.

I hope that helps.
Ben Root