matplotlib-users Mailing List for matplotlib (Page 13)

Yeah, Thank you.
This works. When I set aspect='auto', the im will not changed when I zoom in
or out.  However another problem appears. When I changed the size of the
frame. The length to width ratio is changed. So the map get an unexpected
shape.
Is there other suggestion to avoid this.

Huang.
-- 
View this message in context: http://www.nabble.com/the-problem-about-axe-tp23532518p23551697.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi list,
I have to make a division that sometimes yields and inf, and I want to
replace it by 0.
I have try this:
---------------------------------------
import pylab as p
p.seterr(divide='raise')
l = array vector defined along the program
    try:
            a = (dr*R*dl)/(1.-((R0/R)*p.sin(l))**2)**(1./2)
    except FloatingPointError:
            a=0
---------------------------------
It works, but it doesn't return an array as expect, if some of the values
are zero, then a = 0.
So I tried:
--------------------------
a = p.zeros(len(l))
    for i in range(len(l)):
        try:
            a[i] = (dr*R*dl)/(1.-((R0/R)*p.sin(l[i]))**2)**(1./2)
        except FloatingPointError:
            a[i]=0
--------------------------------
But doing it this way I'm not able to get an exception:
array([ Inf])
And I don't know what I have to change to get an exception doing things this
way.

Thank you,
Illa

On Thu, May 14, 2009 at 4:58 PM, Jae-Joon Lee <lee...@gm...> wrote:

> >
> > You can't do this using the existing support for clipping artists?  I was
> > planning on cooking up an example that did just that, but haven't yet
> found
> > the time.
>
> What I want (and what I think is desirable) is that the annotation
> should be drawn when (and only when) the xy coordinate is inside the
> axes while the annotation text itself still can be outside the axes
> (as in the attached image).
> So, I don't think clipping is suitable here


You're right, that makes sense.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

>
> You can't do this using the existing support for clipping artists?  I was
> planning on cooking up an example that did just that, but haven't yet found
> the time.

What I want (and what I think is desirable) is that the annotation
should be drawn when (and only when) the xy coordinate is inside the
axes while the annotation text itself still can be outside the axes
(as in the attached image).
So, I don't think clipping is suitable here.

-JJ



>
> Ryan
>
> --
> Ryan May
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
> Sent from Norman, Oklahoma, United States

On Thu, May 14, 2009 at 2:03 PM, Jae-Joon Lee <lee...@gm...> wrote:

> On Thu, May 14, 2009 at 4:36 AM, Ben Coppin <co...@gm...> wrote:
> > Hi,
> >
> > I've added annotations to a graph I am producing using matplotlib. The
> > annotations work fine, but when you zoom and pan, the annotations move
> off
> > the edge of the chart and are still visible while they're in the main TK
> > window. Does anyone know of a way to make the annotations disappear when
> > they move off the edge of the chart?
>
> Currently, there is no support for this. However, a monkey patching
> can be a quick solution for now.
>
>
> from matplotlib.text import Annotation
>
> def draw(self, renderer):
>    x, y = self.xy
>    x, y = self._get_xy(x, y, self.xycoords)
>    if not self.axes.bbox.contains(x, y):
>        return
>
>    self.draw_real(renderer)
>
> Annotation.draw_real = Annotation.draw
> Annotation.draw = draw
>
> ann = annotate("test", (0.5, 0.5), xytext=(0.6, 0.6),
>               arrowprops=dict(arrowstyle="->"))
>
>
> I think this should be the default behavior (with optionally turned
> off). If other developers don't object, i'll try to push this feature
> into the svn.


You can't do this using the existing support for clipping artists?  I was
planning on cooking up an example that did just that, but haven't yet found
the time.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from Norman, Oklahoma, United States

On Thu, May 14, 2009 at 4:36 AM, Ben Coppin <co...@gm...> wrote:
> Hi,
>
> I've added annotations to a graph I am producing using matplotlib. The
> annotations work fine, but when you zoom and pan, the annotations move off
> the edge of the chart and are still visible while they're in the main TK
> window. Does anyone know of a way to make the annotations disappear when
> they move off the edge of the chart?

Currently, there is no support for this. However, a monkey patching
can be a quick solution for now.


from matplotlib.text import Annotation

def draw(self, renderer):
    x, y = self.xy
    x, y = self._get_xy(x, y, self.xycoords)
    if not self.axes.bbox.contains(x, y):
        return

    self.draw_real(renderer)

Annotation.draw_real = Annotation.draw
Annotation.draw = draw

ann = annotate("test", (0.5, 0.5), xytext=(0.6, 0.6),
               arrowprops=dict(arrowstyle="->"))


I think this should be the default behavior (with optionally turned
off). If other developers don't object, i'll try to push this feature
into the svn.

Regards,

-JJ


>
> Thanks,
>
> Ben
>
> ------------------------------------------------------------------------------
> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
> production scanning environment may not be a perfect world - but thanks to
> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK
> i700
> Series Scanner you'll get full speed at 300 dpi even with all image
> processing features enabled. http://p.sf.net/sfu/kodak-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Gökhan SEVER <gok...@gm...> writes:

> Still a question stays in my mind: How do you decribe box-whisker plots in
> your writing while using matplotlib's boxplot command? It uses 25, 50, 75th
> percentiles of the data for sure, but apart from what I expected whiskers
> are not at 5th, and 95th percentiles of the data respectively.

I'm too overwhelmed by other stuff to comment at length, but I don't
think the whiskers are usually expected to be at the 5th and 95th
percentiles:

http://en.wikipedia.org/wiki/Box_plot

-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Thank you gregor, it is now doing exactly what I want !

Thomas.


On Thu, May 14, 2009 at 5:12 AM, Gregor Thalhammer <
gre...@gm...> wrote:

> Thomas Coudrat schrieb:
>
>> Hello list,
>>
>> I am new here an i need help on something : I am using Matplotlib in the
>> wxPython GUI, and i am trying to draw a BIG canvas, in a SMALL window, which
>> would be scrollable.
>> My implementation works if i use simple text too long for the size of the
>> window (see example file)
>> But the problem with the canvas is that is resizes to fit the window, and
>> i would like to be able to draw HUGE figures, which would be scrollable.
>> (in order print the figure, just uncomment the 3 lines, and comment the
>> wx.StaticText line)
>>
>> I hope i made my problem clear enough so that someone can help me out.
>>
>> Thanks in advance!
>>
> It seems to me your implementation already provides what you want. But if
> you want to show huge figures, you have to make them huge:
>
> fig = matplotlib.figure.Figure(figsize=(10,10))
>
> You could also try to inhibit scaling of the figure, box.Add(canvas, 0,
> wx.ALL), then the matplotlib figure inside the scrolled panel will always
> have the same size.
>
> Gregor
>
>
>
>

Hello,

I have finally solved this riddle while reading the source code of boxplot
in axes.py file. And yes whisker plotting is done different than I expect.
When I assigned "whis" keyword to 3.0 the lower whisker is plotted on the
right spot. And Josh, yes you were right, it did plot the lower whisker as
seen on my very first uploaded image.

Still a question stays in my mind: How do you decribe box-whisker plots in
your writing while using matplotlib's boxplot command? It uses 25, 50, 75th
percentiles of the data for sure, but apart from what I expected whiskers
are not at 5th, and 95th percentiles of the data respectively.

Could someone please comment on this?

Gökhan


On Wed, May 13, 2009 at 8:43 PM, Gökhan SEVER <gok...@gm...> wrote:

> One more point to add.
>
> I issued one more boxplot with prctile(data) (a mlab command which boxplot
> calls internally to calculate percentiles) as an argument to it.
>
> Guess what?
>
> I get almost the same as in initially I have :) without a lower whisker.
>
> I don't know I am confusing myself or is it the data...
>
> Gökhan
>
>
>
> On Wed, May 13, 2009 at 7:56 PM, Gökhan SEVER <gok...@gm...>wrote:
>
>> Ok,
>>
>> With this figure, it is clearer to see what's wrong with two of my
>> boxplots. I pull the original data and feed boxplot with it.
>>
>> The 1st boxplot is using only quartiles and the next is providing the
>> actual data array.
>>
>> http://img140.imageshack.us/img140/4705/boxplots.png
>>
>> To me the second boxplot seems more convenient to put an academic paper.
>> What do you think? These boxplots only show the variation in true air speed
>> of a small leg of a research flight.
>>
>> Would there be a better representation of in addition to / as an
>> alternative boxplotting?
>>
>> Gökhan
>>
>>
>>
>> On Wed, May 13, 2009 at 1:41 PM, Gökhan SEVER <gok...@gm...>wrote:
>>
>>> Thank you for the response once again.
>>>
>>> That's why I am suspecting actually the raw data. At the problem points
>>> there might be not included values or missing values where not exist on the
>>> normal plots.
>>>
>>> I will find the original data and feed boxplot with it to see how it
>>> effects the final result.
>>>
>>> Gökhan
>>>
>>>
>>>
>>> On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <jh...@vn...> wrote:
>>>
>>>>
>>>> Thanks for sending the data and code. After playing around some I still
>>>> don't
>>>> have a confident guess as to the problem (or solution), but here is what
>>>> I
>>>> would look at more...
>>>>
>>>> I issued   plot(d[i][8:])   for i 0,1,...11  and looked at the shape of
>>>> the
>>>> lines. For the two problem boxes, the plots of the associated data have
>>>> steep jumps between the 5th and 25th percentiles, when compared with the
>>>> data associated with the "good" boxes. So, what you have calculated as
>>>> the
>>>> 5th and 25th percentiles are not necessarily calculated by boxplot as
>>>> such
>>>> because boxplot does not know that you are handing it percentiles of
>>>> your
>>>> underlying data: boxplot actually computes the percentiles assuming that
>>>> the
>>>> input _is_ the raw data. I would guess that if you gave boxplot the raw
>>>> data
>>>> you would not see this issue of missing whiskers.
>>>> --
>>>> View this message in context:
>>>> http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html
>>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
>>>> production scanning environment may not be a perfect world - but thanks
>>>> to
>>>> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK
>>>> i700
>>>> Series Scanner you'll get full speed at 300 dpi even with all image
>>>> processing features enabled. http://p.sf.net/sfu/kodak-com
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>
>>>
>>
>

On Thu, May 14, 2009 at 8:44 AM, John Hunter <jd...@gm...> wrote:

> I'm not 100% what problem you are describing, but my hunch is that you
> want aspect='equal' as a kwarg to imshow.

Sorry, I meant aspect='auto'

JDH

On Wed, May 13, 2009 at 7:50 PM, GoogleWind <goo...@16...> wrote:
>
> hello everyone,
>
> I have use maplotlib to show an image. the image is a map.
> The problem is when I zoom in the map, The extent of self.ax changes to fix
> my selected. However, I want the extent of self.ax stand unchanged. Only the
> map's extent changed. Is there any suggestion?
>
>        self.fig = Figure((8.8,6),facecolor='w')
>        self.canvas= FigureCanvasWxAgg(frame, -1, self.fig)
>        self.ax= self.fig.add_axes([0.17,0.15,0.7,0.7],axisbg='#ffffff')
>        self.im = self.ax.imshow(Zm, norm = colors.Normalize(vmin =
> valueSet[0], vmax = valueSet[1], clip =
> False),cmap=palette,interpolation='nearest')

I'm not 100% what problem you are describing, but my hunch is that you
want aspect='equal' as a kwarg to imshow.

JDH

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Thomas Coudrat schrieb:
> Hello list,
>
> I am new here an i need help on something : I am using Matplotlib in 
> the wxPython GUI, and i am trying to draw a BIG canvas, in a SMALL 
> window, which would be scrollable.
> My implementation works if i use simple text too long for the size of 
> the window (see example file)
> But the problem with the canvas is that is resizes to fit the window, 
> and i would like to be able to draw HUGE figures, which would be 
> scrollable.
> (in order print the figure, just uncomment the 3 lines, and comment 
> the wx.StaticText line)
>
> I hope i made my problem clear enough so that someone can help me out.
>
> Thanks in advance!
It seems to me your implementation already provides what you want. But 
if you want to show huge figures, you have to make them huge:

fig = matplotlib.figure.Figure(figsize=(10,10))

You could also try to inhibit scaling of the figure, box.Add(canvas, 0, 
wx.ALL), then the matplotlib figure inside the scrolled panel will 
always have the same size.

Gregor

Hi,

I've added annotations to a graph I am producing using matplotlib. The
annotations work fine, but when you zoom and pan, the annotations move off
the edge of the chart and are still visible while they're in the main TK
window. Does anyone know of a way to make the annotations disappear when
they move off the edge of the chart?

Thanks,

Ben

Sebastian Busch schrieb:
> Armin Moser wrote:
>> Sebastian Busch wrote:
>>> ...
>>> array([list(a[i,:i])+list(b[i,i:]) for i in range(a.shape[0])])
>> It seems that I did not understand what you tried to reach.
>> ...
> 
> Sorry. I wanted to do the same as Matthias -- taking his example:
I meant I did not understand in the first what Bala tried to reach. I
have answered to the wrong mail and quoted badly. Sorry

Armin

Armin Moser wrote:
> Sebastian Busch wrote:
>> ...
>> array([list(a[i,:i])+list(b[i,i:]) for i in range(a.shape[0])])
> It seems that I did not understand what you tried to reach.
> ...

Sorry. I wanted to do the same as Matthias -- taking his example:


=====
from scipy import ones, array

matrix1 = ones((4,4))
matrix2 = 2*ones((4,4))
matrix3 = array([list(matrix1[i,:i])+list(matrix2[i,i:])\
for i in range(matrix1.shape[0])])
=====

yields

matrix3
array([[ 2.,  2.,  2.,  2.],
       [ 1.,  2.,  2.,  2.],
       [ 1.,  1.,  2.,  2.],
       [ 1.,  1.,  1.,  2.]])


it's quite the same, you just have to type less :)


best,
sebastian.

Thank you Matthias, Sebastin and Armin!!!

My matrices are square matrices and not rectangular one.  I tried the way of
creating a new matrix from existing ones as suggested by matthias and it
worked great. I will try the masked array method too.

Thank you all once again,
Bala

On Wed, May 13, 2009 at 6:45 PM, Matthias Michler
<Mat...@gm...>wrote:

> Hi Bala,
>
> I'm not sure I understand, what you want, but maybe the following goes
> towards
> your direction
>
> # initialise two matrices with data
> matrix1 = ones((4,4))
> matrix2 = 2*ones((4,4))
> # and one empty matrix
> matrix3 = zeros((4, 4))
>
> for i in xrange(len(matrix3[:, 0])): # all rows
>    for j in xrange(len(matrix3[0, :])):# all columns
>        if i > j: # if below diagonal take matrix1
>            matrix3[i, j] = matrix1[i, j]
>        elif i < j: # if above diagonal take matrix 2
>            matrix3[i, j] = matrix2[i, j]
>
> In [40]: print matrix3
> Out[40]:
> array([[ 0.,  2.,  2.,  2.],
>           [ 1.,  0.,  2.,  2.],
>           [ 1.,  1.,  0.,  2.],
>           [ 1.,  1.,  1.,  0.]])
>
> With that matrix3 holds elements of matrix2 in the upper part and elements
> of
> matrix1 below the diagonal. This one could be plotted with contour or
> contourf.
>
> Is that what you want?
>
> best regards Matthias
>
> On Wednesday 13 May 2009 18:12:53 Bala subramanian wrote:
> > Armin,
> > I tried this but what happens is it is not overlapping, actually when i
> > call contour function for the second time with matrix2, the plot is
> updated
> > with contour of matrix 2.
> >
> > contour(matrix1)
> > contour(matrix2).
> >
> > What i finally get is the contour of matrix 2 as the final plot. What i
> am
> > trying to do is that, i shd have one plot, with upper left panel for
> > matrix1 and lower right panel for matrix2 with their separation along the
> > diagonal. I have attached an example picture like which i am trying to
> > make.
> >
> > Bala
> >
> > On Wed, May 13, 2009 at 5:33 PM, Armin Moser
> >
> > <arm...@st...>wrote:
> > > Bala subramanian schrieb:
> > > > hai Armin,
> > > >
> > > > I looked through the examples. I could not find any example of
> > >
> > > overlapping
> > >
> > > > two differnet countours on the same plot.
> > >
> > > I think the first example filled contours does exactly that. You want
> to
> > > show two contours over each other in the same plot.
> > > You just have to substitute the Z in cset_1 with matrix_1 and in cset_2
> > > with matrix_2. Of course it will be helpful to use different colormaps.
> > > E.g. a grey one for the underlying contour and a colored for the top
> one.
> > >
> > > x = arange(5)
> > > y = arange(5)
> > > x,y = meshgrid(x,y)
> > > Z = x**2+y**2
> > > #contourf(Z,cmap=cm.binary) # filled contours gray
> > > contour(Z) # not filled contours colored
> > > error = rand(x.shape[0],x.shape[1]) # to generate a new Z
> > > Z = (x+error)**2+(y+error)**2
> > > contour(Z) # colored not filled contours
> > >
> > > Armin
>
>
>
>
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> _______________________________________________
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> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

This is now committed to svn trunk, with slight changes in its api.
An example is added (examples/animation/animation_blit_gtk2.py).

-JJ

I've managed to work around the problem by:
	- always allocating the requested size to the various widgets
	- not rotating annotation labels vertically.

This was just by trial and error, but it seems to work now...?

Dave.

--
David Snowdon
da...@sn...
http://www.snowdon.id.au



On 14/05/2009, at 2:12 AM, mat...@li... 
  wrote:

> Send Matplotlib-users mailing list submissions to
> 	mat...@li...
>
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> than "Re: Contents of Matplotlib-users digest..."
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>
> Today's Topics:
>
>   1. Re: contour overlapping (Armin Moser)
>   2. Re: Subplots (Matthias Michler)
>   3. Re: Subplots (Stefanie L?ck)
>   4. Re: Matplotlib crashes my GTK program (Jo?o Lu?s Silva)
>   5. Re: contour overlapping (Armin Moser)
>   6. Re: contour overlapping (Bala subramanian)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 13 May 2009 14:06:01 +0200
> From: Armin Moser <arm...@st...>
> Subject: Re: [Matplotlib-users] contour overlapping
> To: Bala subramanian <bal...@gm...>
> Cc: mat...@li...
> Message-ID: <4A0...@st...>
> Content-Type: text/plain; charset=ISO-8859-1
>
> Bala subramanian schrieb:
>> Dear Matthias,
>>
>> Thank you for the information. Could you please provide me a small  
>> example
>> of such overlapping.
> Look at
> http://matplotlib.sourceforge.net/examples/pylab_examples/contour_image.html
>
> or any other contour example from this page:
> http://matplotlib.sourceforge.net/examples/index.html
>
> Armin
>
>
>
> ------------------------------
>
> Message: 2
> Date: Wed, 13 May 2009 14:16:21 +0200
> From: Matthias Michler <Mat...@gm...>
> Subject: Re: [Matplotlib-users] Subplots
> To: mat...@li...
> Message-ID: <200...@gm...>
> Content-Type: text/plain;  charset="utf-8"
>
> Hello Stefanie,
>
> I think the problem is that you try to initialise a subplot with
> subplot(112)
> which is not possible, because the first to numbers in 112 define  
> the subplot
> structure / geometry (here 1 by 1) and the last number give the  
> index of the
> subplot.
> In general you could use N x M (N rows and M columns) for subplots by
> subplot(N,M,index)
> where 'index' would be a number between 1 and N * M.
>
> best regards Matthias
>
> On Wednesday 13 May 2009 14:02:57 Stefanie L?ck wrote:
>> Hello!
>>
>> I'm trying to draw several plots on after the other in a  
>> wxScrolledPanel
>> but I got the error message:
>>
>> Traceback (most recent call last):
>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>> line 96,
>> in <m odule>
>>    frame = MyFrame()
>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>> line 56,
>> in __ init__
>>    self.plot_data(self.fig)
>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>> line 90,
>> in pl ot_data
>>    a = figure.add_subplot(id)
>>  File "C:\python25\lib\site-packages\matplotlib\figure.py", line  
>> 689, in
>> add_su bplot
>>    a = subplot_class_factory(projection_class)(self, *args, **kwargs)
>>  File "C:\python25\lib\site-packages\matplotlib\axes.py", line  
>> 7207, in
>> __init_ _
>>    raise ValueError( 'Subplot number exceeds total subplots')
>> ValueError: Subplot number exceeds total subplots
>>
>> Here's my code:
>>
>> # -*- coding: latin1 -*-
>> import sys
>>
>> import wx
>> import wx.lib.scrolledpanel as SP
>> from wx.lib.mixins.listctrl import CheckListCtrlMixin
>>
>> from matplotlib.backends.backend_wx import FigureCanvasWx
>> from matplotlib.figure import Figure
>> import matplotlib.numerix as numpy
>>
>> from pylab import array, arange, sin, cos, exp, pi, randn, normpdf,
>> meshgrid, \ convolve
>>
>> d = {1: (' Contig5535', '230 '), 2: (' Contig5534', '3240 '), 3: ('  
>> test',
>> '574')}
>>
>> class CheckListCtrl(wx.ListCtrl, CheckListCtrlMixin):
>>    def __init__(self, parent):
>>        wx.ListCtrl.__init__(self, parent, -1,
>> style=wx.LC_REPORT|wx.LC_VRULES|wx.LC_HRULES|wx.LC_SORT_ASCENDING)
>> CheckListCtrlMixin.__init__(self)
>>        self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnItemActivated)
>>
>>    def OnItemActivated(self, evt):
>>        self.ToggleItem(evt.m_itemIndex)
>>
>>    def OnCheckItem(self, index, flag):
>>        data = self.GetItemData(index)
>>        title = d[data][1]
>>        if flag:
>>            what = "checked"
>>        else:
>>            what = "unchecked"
>>
>> class MyFrame(wx.Frame):
>>
>>    def __init__(self):
>>        wx.Frame.__init__(self, None, -1, "My Frame", size=(300, 300))
>>        self.panel = SP.ScrolledPanel(self, -1)
>>
>>        self.list = CheckListCtrl(self.panel)
>>        self.list.SetFont(wx.Font(10, wx.SWISS, wx.NORMAL, wx.NORMAL))
>>
>>        vbox = wx.BoxSizer(wx.VERTICAL)
>>
>>        self.fig = Figure()
>>        self.canvas = FigureCanvasWx(self.panel, -1, self.fig)
>>        self.plot_data(self.fig)
>>        vbox.Add(self.list,0, wx.EXPAND)
>>        vbox.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
>>
>>        self.panel.SetSizer(vbox)
>>        self.panel.SetAutoLayout(1)
>>        self.panel.SetupScrolling()
>>
>>        self.list.InsertColumn(0, "ID")
>>        self.list.InsertColumn(1, "Nr. of Hits")
>>        for key, data in d.iteritems():
>>            index = self.list.InsertStringItem(sys.maxint, data[0])
>>            self.list.SetStringItem(index, 1, data[1])
>>            #self.list.SetStringItem(index, 2, data[2])
>>            self.list.SetItemData(index, key)
>>        self.list.SetColumnWidth(0, wx.LIST_AUTOSIZE)
>>        self.list.SetColumnWidth(1, 100)
>>        self.Show()
>>
>>    def plot_data(self, figure):
>>        liste2 = ['Contig5535_range.txtcounts.txt',
>> 'Contig5534_range.txtcounts.txt'] id = 111
>>
>>        for q in liste2:
>>            f = open(q, 'r')
>>            data = f.readlines()
>>            liste3 = []
>>            liste4 = []
>>            for line in data:
>>                line = line.strip()
>>                x = line.split(" ")
>>                liste3.append(int(x[0]))
>>                liste4.append(int(x[1]))
>>
>>            a = figure.add_subplot(id)
>>            a.plot(liste3,liste4)
>>            id = id + 1
>>
>> if __name__ == '__main__':
>>    app = wx.PySimpleApp()
>>    frame = MyFrame()
>>    frame.Show(True)
>>    app.MainLoop()
>>
>> Has someone an idea how to solve this?
>> Thank in advance
>> Stefanie
>
>
>
>
>
> ------------------------------
>
> Message: 3
> Date: Wed, 13 May 2009 15:14:34 +0200
> From: Stefanie L?ck <lu...@ip...>
> Subject: Re: [Matplotlib-users] Subplots
> To: "Matthias Michler" <Mat...@gm...>,
> 	<mat...@li...>
> Message-ID: <009801c9d3cc$c2c3f0e0$102...@ip...>
> Content-Type: text/plain; format=flowed; charset="UTF-8";
> 	reply-type=original
>
> Thanks a lot! Problem solved!
> Stefanie
> ----- Original Message -----
> From: "Matthias Michler" <Mat...@gm...>
> To: <mat...@li...>
> Sent: Wednesday, May 13, 2009 2:16 PM
> Subject: Re: [Matplotlib-users] Subplots
>
>
>> Hello Stefanie,
>>
>> I think the problem is that you try to initialise a subplot with
>> subplot(112)
>> which is not possible, because the first to numbers in 112 define the
>> subplot
>> structure / geometry (here 1 by 1) and the last number give the  
>> index of
>> the
>> subplot.
>> In general you could use N x M (N rows and M columns) for subplots by
>> subplot(N,M,index)
>> where 'index' would be a number between 1 and N * M.
>>
>> best regards Matthias
>>
>> On Wednesday 13 May 2009 14:02:57 Stefanie L?ck wrote:
>>> Hello!
>>>
>>> I'm trying to draw several plots on after the other in a  
>>> wxScrolledPanel
>>> but I got the error message:
>>>
>>> Traceback (most recent call last):
>>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>>> line
>>> 96,
>>> in <m odule>
>>>    frame = MyFrame()
>>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>>> line
>>> 56,
>>> in __ init__
>>>    self.plot_data(self.fig)
>>>  File "D:\Eigene Datein\Python\current\RNAiscan\Test\sample.py",  
>>> line
>>> 90,
>>> in pl ot_data
>>>    a = figure.add_subplot(id)
>>>  File "C:\python25\lib\site-packages\matplotlib\figure.py", line  
>>> 689, in
>>> add_su bplot
>>>    a = subplot_class_factory(projection_class)(self, *args,  
>>> **kwargs)
>>>  File "C:\python25\lib\site-packages\matplotlib\axes.py", line  
>>> 7207, in
>>> __init_ _
>>>    raise ValueError( 'Subplot number exceeds total subplots')
>>> ValueError: Subplot number exceeds total subplots
>>>
>>> Here's my code:
>>>
>>> # -*- coding: latin1 -*-
>>> import sys
>>>
>>> import wx
>>> import wx.lib.scrolledpanel as SP
>>> from wx.lib.mixins.listctrl import CheckListCtrlMixin
>>>
>>> from matplotlib.backends.backend_wx import FigureCanvasWx
>>> from matplotlib.figure import Figure
>>> import matplotlib.numerix as numpy
>>>
>>> from pylab import array, arange, sin, cos, exp, pi, randn, normpdf,
>>> meshgrid, \ convolve
>>>
>>> d = {1: (' Contig5535', '230 '), 2: (' Contig5534', '3240 '), 3: ('
>>> test',
>>> '574')}
>>>
>>> class CheckListCtrl(wx.ListCtrl, CheckListCtrlMixin):
>>>    def __init__(self, parent):
>>>        wx.ListCtrl.__init__(self, parent, -1,
>>> style=wx.LC_REPORT|wx.LC_VRULES|wx.LC_HRULES|wx.LC_SORT_ASCENDING)
>>> CheckListCtrlMixin.__init__(self)
>>>        self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnItemActivated)
>>>
>>>    def OnItemActivated(self, evt):
>>>        self.ToggleItem(evt.m_itemIndex)
>>>
>>>    def OnCheckItem(self, index, flag):
>>>        data = self.GetItemData(index)
>>>        title = d[data][1]
>>>        if flag:
>>>            what = "checked"
>>>        else:
>>>            what = "unchecked"
>>>
>>> class MyFrame(wx.Frame):
>>>
>>>    def __init__(self):
>>>        wx.Frame.__init__(self, None, -1, "My Frame", size=(300,  
>>> 300))
>>>        self.panel = SP.ScrolledPanel(self, -1)
>>>
>>>        self.list = CheckListCtrl(self.panel)
>>>        self.list.SetFont(wx.Font(10, wx.SWISS, wx.NORMAL,  
>>> wx.NORMAL))
>>>
>>>        vbox = wx.BoxSizer(wx.VERTICAL)
>>>
>>>        self.fig = Figure()
>>>        self.canvas = FigureCanvasWx(self.panel, -1, self.fig)
>>>        self.plot_data(self.fig)
>>>        vbox.Add(self.list,0, wx.EXPAND)
>>>        vbox.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
>>>
>>>        self.panel.SetSizer(vbox)
>>>        self.panel.SetAutoLayout(1)
>>>        self.panel.SetupScrolling()
>>>
>>>        self.list.InsertColumn(0, "ID")
>>>        self.list.InsertColumn(1, "Nr. of Hits")
>>>        for key, data in d.iteritems():
>>>            index = self.list.InsertStringItem(sys.maxint, data[0])
>>>            self.list.SetStringItem(index, 1, data[1])
>>>            #self.list.SetStringItem(index, 2, data[2])
>>>            self.list.SetItemData(index, key)
>>>        self.list.SetColumnWidth(0, wx.LIST_AUTOSIZE)
>>>        self.list.SetColumnWidth(1, 100)
>>>        self.Show()
>>>
>>>    def plot_data(self, figure):
>>>        liste2 = ['Contig5535_range.txtcounts.txt',
>>> 'Contig5534_range.txtcounts.txt'] id = 111
>>>
>>>        for q in liste2:
>>>            f = open(q, 'r')
>>>            data = f.readlines()
>>>            liste3 = []
>>>            liste4 = []
>>>            for line in data:
>>>                line = line.strip()
>>>                x = line.split(" ")
>>>                liste3.append(int(x[0]))
>>>                liste4.append(int(x[1]))
>>>
>>>            a = figure.add_subplot(id)
>>>            a.plot(liste3,liste4)
>>>            id = id + 1
>>>
>>> if __name__ == '__main__':
>>>    app = wx.PySimpleApp()
>>>    frame = MyFrame()
>>>    frame.Show(True)
>>>    app.MainLoop()
>>>
>>> Has someone an idea how to solve this?
>>> Thank in advance
>>> Stefanie
>>
>>
>>
>> ------------------------------------------------------------------------------
>> The NEW KODAK i700 Series Scanners deliver under ANY circumstances!  
>> Your
>> production scanning environment may not be a perfect world - but  
>> thanks to
>> Kodak, there's a perfect scanner to get the job done! With the NEW  
>> KODAK
>> i700
>> Series Scanner you'll get full speed at 300 dpi even with all image
>> processing features enabled. http://p.sf.net/sfu/kodak-com
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
>
> ------------------------------
>
> Message: 4
> Date: Wed, 13 May 2009 14:37:44 +0100
> From: Jo?o Lu?s Silva <js...@fc...>
> Subject: Re: [Matplotlib-users] Matplotlib crashes my GTK program
> To: mat...@li...
> Message-ID: <gueied$80v$1...@ge...>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
>
> David Snowdon wrote:
>> Hi all,
>>
>> This will probably end up being my very silly mistake, but at the
>> moment, Matplotlib crashes my program with an X error whenever my  
>> window
>> isn't expanded far enough.
>>
>> For those interested, it is a front-end for the strategy and analysis
>> software for the Sunswift solar car (http://www.sunswift.com). I  
>> attach
>> a screenshot (when it is expanded to the full screen, and therefore
>> works) in case it helps.
>>
>>
>> daves@daves:~/projects/sunswift/carsoft/scanalysis$ python -c "import
>> matplotlib; print matplotlib.__version__"
>> 0.91.2
>>
>
> I read the code you sent. You shouldn't import pylab (neither  
> pyplot?),
> although you don't seem to be using it. Maybe the paint_event is  
> firing
> when it shouldn't?
>
> Aside from that, my only advice would be to update matplotlib to the
> latest version.
>
> JLS
>
>
>
>
> ------------------------------
>
> Message: 5
> Date: Wed, 13 May 2009 17:33:11 +0200
> From: Armin Moser <arm...@st...>
> Subject: Re: [Matplotlib-users] contour overlapping
> To: Bala subramanian <bal...@gm...>,
> 	mat...@li...
> Message-ID: <4A0...@st...>
> Content-Type: text/plain; charset=ISO-8859-1
>
> Bala subramanian schrieb:
>> hai Armin,
>>
>> I looked through the examples. I could not find any example of  
>> overlapping
>> two differnet countours on the same plot.
> I think the first example filled contours does exactly that. You  
> want to
> show two contours over each other in the same plot.
> You just have to substitute the Z in cset_1 with matrix_1 and in  
> cset_2
> with matrix_2. Of course it will be helpful to use different  
> colormaps.
> E.g. a grey one for the underlying contour and a colored for the top  
> one.
>
> x = arange(5)
> y = arange(5)
> x,y = meshgrid(x,y)
> Z = x**2+y**2
> #contourf(Z,cmap=cm.binary) # filled contours gray
> contour(Z) # not filled contours colored
> error = rand(x.shape[0],x.shape[1]) # to generate a new Z
> Z = (x+error)**2+(y+error)**2
> contour(Z) # colored not filled contours
>
> Armin
>
>
>
> ------------------------------
>
> Message: 6
> Date: Wed, 13 May 2009 18:12:53 +0200
> From: Bala subramanian <bal...@gm...>
> Subject: Re: [Matplotlib-users] contour overlapping
> To: Armin Moser <arm...@st...>
> Cc: mat...@li...
> Message-ID:
> 	<288...@ma...>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Armin,
> I tried this but what happens is it is not overlapping, actually  
> when i call
> contour function for the second time with matrix2, the plot is  
> updated with
> contour of matrix 2.
>
> contour(matrix1)
> contour(matrix2).
>
> What i finally get is the contour of matrix 2 as the final plot.  
> What i am
> trying to do is that, i shd have one plot, with upper left panel for  
> matrix1
> and lower right panel for matrix2 with their separation along the  
> diagonal.
> I have attached an example picture like which i am trying to make.
>
> Bala
>
> On Wed, May 13, 2009 at 5:33 PM, Armin Moser
> <arm...@st...>wrote:
>
>> Bala subramanian schrieb:
>>> hai Armin,
>>>
>>> I looked through the examples. I could not find any example of
>> overlapping
>>> two differnet countours on the same plot.
>> I think the first example filled contours does exactly that. You  
>> want to
>> show two contours over each other in the same plot.
>> You just have to substitute the Z in cset_1 with matrix_1 and in  
>> cset_2
>> with matrix_2. Of course it will be helpful to use different  
>> colormaps.
>> E.g. a grey one for the underlying contour and a colored for the  
>> top one.
>>
>> x = arange(5)
>> y = arange(5)
>> x,y = meshgrid(x,y)
>> Z = x**2+y**2
>> #contourf(Z,cmap=cm.binary) # filled contours gray
>> contour(Z) # not filled contours colored
>> error = rand(x.shape[0],x.shape[1]) # to generate a new Z
>> Z = (x+error)**2+(y+error)**2
>> contour(Z) # colored not filled contours
>>
>> Armin
>>
> -------------- next part --------------
> An HTML attachment was scrubbed...
> -------------- next part --------------
> A non-text attachment was scrubbed...
> Name: Pictur.png
> Type: image/png
> Size: 138920 bytes
> Desc: not available
>
> ------------------------------
>
> ------------------------------------------------------------------------------
> The NEW KODAK i700 Series Scanners deliver under ANY circumstances!  
> Your
> production scanning environment may not be a perfect world - but  
> thanks to
> Kodak, there's a perfect scanner to get the job done! With the NEW  
> KODAK i700
> Series Scanner you'll get full speed at 300 dpi even with all image
> processing features enabled. http://p.sf.net/sfu/kodak-com
>
> ------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> End of Matplotlib-users Digest, Vol 36, Issue 31
> ************************************************

One more point to add.

I issued one more boxplot with prctile(data) (a mlab command which boxplot
calls internally to calculate percentiles) as an argument to it.

Guess what?

I get almost the same as in initially I have :) without a lower whisker.

I don't know I am confusing myself or is it the data...

Gökhan


On Wed, May 13, 2009 at 7:56 PM, Gökhan SEVER <gok...@gm...> wrote:

> Ok,
>
> With this figure, it is clearer to see what's wrong with two of my
> boxplots. I pull the original data and feed boxplot with it.
>
> The 1st boxplot is using only quartiles and the next is providing the
> actual data array.
>
> http://img140.imageshack.us/img140/4705/boxplots.png
>
> To me the second boxplot seems more convenient to put an academic paper.
> What do you think? These boxplots only show the variation in true air speed
> of a small leg of a research flight.
>
> Would there be a better representation of in addition to / as an
> alternative boxplotting?
>
> Gökhan
>
>
>
> On Wed, May 13, 2009 at 1:41 PM, Gökhan SEVER <gok...@gm...>wrote:
>
>> Thank you for the response once again.
>>
>> That's why I am suspecting actually the raw data. At the problem points
>> there might be not included values or missing values where not exist on the
>> normal plots.
>>
>> I will find the original data and feed boxplot with it to see how it
>> effects the final result.
>>
>> Gökhan
>>
>>
>>
>> On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <jh...@vn...> wrote:
>>
>>>
>>> Thanks for sending the data and code. After playing around some I still
>>> don't
>>> have a confident guess as to the problem (or solution), but here is what
>>> I
>>> would look at more...
>>>
>>> I issued   plot(d[i][8:])   for i 0,1,...11  and looked at the shape of
>>> the
>>> lines. For the two problem boxes, the plots of the associated data have
>>> steep jumps between the 5th and 25th percentiles, when compared with the
>>> data associated with the "good" boxes. So, what you have calculated as
>>> the
>>> 5th and 25th percentiles are not necessarily calculated by boxplot as
>>> such
>>> because boxplot does not know that you are handing it percentiles of your
>>> underlying data: boxplot actually computes the percentiles assuming that
>>> the
>>> input _is_ the raw data. I would guess that if you gave boxplot the raw
>>> data
>>> you would not see this issue of missing whiskers.
>>> --
>>> View this message in context:
>>> http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
>>> production scanning environment may not be a perfect world - but thanks
>>> to
>>> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK
>>> i700
>>> Series Scanner you'll get full speed at 300 dpi even with all image
>>> processing features enabled. http://p.sf.net/sfu/kodak-com
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>>
>

Ok,

With this figure, it is clearer to see what's wrong with two of my boxplots.
I pull the original data and feed boxplot with it.

The 1st boxplot is using only quartiles and the next is providing the actual
data array.

http://img140.imageshack.us/img140/4705/boxplots.png

To me the second boxplot seems more convenient to put an academic paper.
What do you think? These boxplots only show the variation in true air speed
of a small leg of a research flight.

Would there be a better representation of in addition to / as an alternative
boxplotting?

Gökhan


On Wed, May 13, 2009 at 1:41 PM, Gökhan SEVER <gok...@gm...> wrote:

> Thank you for the response once again.
>
> That's why I am suspecting actually the raw data. At the problem points
> there might be not included values or missing values where not exist on the
> normal plots.
>
> I will find the original data and feed boxplot with it to see how it
> effects the final result.
>
> Gökhan
>
>
>
> On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <jh...@vn...> wrote:
>
>>
>> Thanks for sending the data and code. After playing around some I still
>> don't
>> have a confident guess as to the problem (or solution), but here is what I
>> would look at more...
>>
>> I issued   plot(d[i][8:])   for i 0,1,...11  and looked at the shape of
>> the
>> lines. For the two problem boxes, the plots of the associated data have
>> steep jumps between the 5th and 25th percentiles, when compared with the
>> data associated with the "good" boxes. So, what you have calculated as the
>> 5th and 25th percentiles are not necessarily calculated by boxplot as such
>> because boxplot does not know that you are handing it percentiles of your
>> underlying data: boxplot actually computes the percentiles assuming that
>> the
>> input _is_ the raw data. I would guess that if you gave boxplot the raw
>> data
>> you would not see this issue of missing whiskers.
>> --
>> View this message in context:
>> http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
>>
>> ------------------------------------------------------------------------------
>> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
>> production scanning environment may not be a perfect world - but thanks to
>> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK
>> i700
>> Series Scanner you'll get full speed at 300 dpi even with all image
>> processing features enabled. http://p.sf.net/sfu/kodak-com
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>

hello everyone,

I have use maplotlib to show an image. the image is a map. 
The problem is when I zoom in the map, The extent of self.ax changes to fix
my selected. However, I want the extent of self.ax stand unchanged. Only the
map's extent changed. Is there any suggestion?

        self.fig = Figure((8.8,6),facecolor='w')
        self.canvas= FigureCanvasWxAgg(frame, -1, self.fig)       
        self.ax= self.fig.add_axes([0.17,0.15,0.7,0.7],axisbg='#ffffff')
        self.im = self.ax.imshow(Zm, norm = colors.Normalize(vmin =
valueSet[0], vmax = valueSet[1], clip =
False),cmap=palette,interpolation='nearest')                    

Thank you.
Huang.
-- 
View this message in context: http://www.nabble.com/the-problem-about-axe-tp23532518p23532518.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Eric Firing wrote:
> Christopher Barker wrote:
>> Has anyone used MPL to make stick plots? If so, can I borrow your code?

> If no one volunteers anything, then I suggest using quiver(..., 
> headlength=0, headwidth=0, headaxislength=0), together with 
> quiverkey(...).  This will effectively give you a stick plot, with lots 
> of flexibility.

I've got a start enclosed. I'm having trouble with a few issues:

1) I'd like to be able to pass in datetime objects for the x axis, but 
that doesn't seem to be supported -- is that a bug? (uncomment the 
datetime list comp to see the error)

2) I'm a little confused about what to put on the y axis -- stick plots 
often use the y axis to provide a scale for the velocites, but I can't 
figure out what units I'd use there -- quiver is scaling the "arrows", 
so I don't know what units they are in.

3) it seemed like I should be able to use angles=array to pass in the 
angles directly, but that didn't work for me.

>  It could be implemented more efficiently in any of 
> several ways, but it would take work to do it well.

yup -- and the whole LineCollection/transforms thing confuses me anyway...

Any suggestions to improve this?

-Chris


-- 
Christopher Barker, Ph.D.
Oceanographer

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Chr...@no...

Hi Gang,

As you may know, Sourceforge hosts a Community Choice Awards thing 
(http://sourceforge.net/community/cca09/). If you really like matplotlib I would 
encourage you to nominate it for an award (I chose the "Best Project for 
Academia" category). The nomination page is here 
(http://sourceforge.net/community/cca09/nominate/)

Best
-Kaushik

Nop John,

I was just wondering whether my assignment syntactically correct in Python
or a missing feature in matplotlib.

Gökhan


On Wed, May 13, 2009 at 2:23 PM, John Hunter <jd...@gm...> wrote:

> On Wed, May 13, 2009 at 2:15 PM, Gökhan SEVER <gok...@gm...>
> wrote:
> > Hmm, Thank you for the guidance John :)
> >
> > def myformat(x):
> >      return '%1.2f'%x
> >
> > axes().fmt_xdata = myformat  works like you said.
> >
> > How can I join x and y in one function? The following line gives me a
> syntax
> > error.
> >
> > def myformat(x, y):
> >       return '%1.2f'%x, '%1.2f'%y
> >
> > axes().(fmt_xdata, fmt_ydata) = myformat
> >
> > Since the function will return a tuple with two values could they be
> > assigned directly in the give fashion?
> >
>
> There is no support for this currently, sorry
>
> JDH
>