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From: Perry G. <pe...@st...> - 2005-04-01 15:53:29
|
It's clear you are running out of memory. The image you are displaying is on the order of 64MB in size. While the single array itself isn't enough to consume all your memory, it isn't clear what other memory is in use, or what your page size is, etc. Matplotlib will create some temporaries in the process of scaling arrays for display, so I wouldn't be surprised to see this image require a few more times that amount of memory. Perry On Apr 1, 2005, at 9:51 AM, Humufr wrote: > Hi, > > on a pc with linux and 512M of RAM, I have a problem of memory when > I'm using matplotlib. > > from pylab import * > imshow(zeros((2000,2000))) > show() > > is working but: > > from pylab import * > imshow(zeros((4000,4000))) > show() > > is not. > > > That slow down the computer, it close to be freeze and I obtain this > error (the two error message for show() and savefig('test.png') are at > the bottom of the mail. (matshow give exactly the same result) > > It's a big problem, for me at least, because I'm working with some > image with 4000x4000 pixels. > > Thanks, > > N. > > Exception in Tkinter callback > Traceback (most recent call last): > File "/usr/local/lib/python2.4/lib-tk/Tkinter.py", line 1345, in > __call__ > return self.func(*args) > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_tkagg.py", line 140, in resize > self.show() > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_tkagg.py", line 143, in draw > FigureCanvasAgg.draw(self) > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_agg.py", line 312, in draw > self.figure.draw(renderer) > File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", > line 395, in draw > for a in self.axes: a.draw(renderer) > File > "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/ > axes.py", line 1339, in draw > im.draw(renderer) > File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", > line 182, in draw > im = self.make_image(isUpper) > File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", > line 112, in make_image > x = self.to_rgba(self._A, self._alpha) > File "/usr/local/lib/python2.4/site-packages/matplotlib/cm.py", line > 418, in to_rgba > return self.cmap(x, alpha) > File "/usr/local/lib/python2.4/site-packages/matplotlib/colors.py", > line 526, in __call__ > rgba = zeros(xa.shape+(4,), Float) > File > "/usr/local/lib/python2.4/site-packages/numarray/numarraycore.py", > line 1407, in zeros > retarr = NumArray(shape=shape, type=type) > MemoryError: Couldn't allocate requested memory > > > I did the same with savefig > > Traceback (most recent call last): > File "test.py", line 12, in ? > savefig('test.png') > File > "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/ > pylab.py", line 719, in savefig > return fig.savefig(*args, **kwargs) > File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", > line 512, in savefig > self.canvas.print_figure(*args, **kwargs) > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_tkagg.py", line 161, in print_figure > agg.print_figure(filename, dpi, facecolor, edgecolor, orientation) > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_agg.py", line 375, in print_figure > self.draw() > File > "/usr/local/lib/python2.4/site-packages/matplotlib/backends/ > backend_agg.py", line 312, in draw > self.figure.draw(renderer) > File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", > line 395, in draw > for a in self.axes: a.draw(renderer) > File > "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/ > axes.py", line 1339, in draw > im.draw(renderer) > File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", > line 182, in draw > im = self.make_image(isUpper) > File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", > line 112, in make_image > x = self.to_rgba(self._A, self._alpha) > File "/usr/local/lib/python2.4/site-packages/matplotlib/cm.py", line > 418, in to_rgba > return self.cmap(x, alpha) > File "/usr/local/lib/python2.4/site-packages/matplotlib/colors.py", > line 526, in __call__ > rgba = zeros(xa.shape+(4,), Float) > File > "/usr/local/lib/python2.4/site-packages/numarray/numarraycore.py", > line 1407, in zeros > retarr = NumArray(shape=shape, type=type) > MemoryError: Couldn't allocate requested memory > > > > > > > ------------------------------------------------------- > This SF.net email is sponsored by Demarc: > A global provider of Threat Management Solutions. > Download our HomeAdmin security software for free today! > http://www.demarc.com/info/Sentarus/hamr30 > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
From: John H. <jdh...@ac...> - 2005-04-01 15:34:47
|
>>>>> "Humufr" == Humufr <hu...@ya...> writes: Humufr> Hi, on a pc with linux and 512M of Humufr> RAM, I have a problem of memory when I'm using matplotlib. Humufr> from pylab import * imshow(zeros((2000,2000))) show() Humufr> is working but: Humufr> from pylab import * imshow(zeros((4000,4000))) show() Yes this is a problem. The image module turns everything into an rgba matrix under the hood. This was an early design decision to conserve programmer resources (my time) over memory and CPU. We made it with the knowledge that this couldn't last forever, since someone (you apparently) would eventually need a grayscale image w/o this overhead. Note if you want to colormap this image, then the problem is going to be there regardless. Several releases ago I spent some time hammering on the image module looking for CPU performance gains, with some success. Looks like I'll have to do the same for memory..... Note that agg has a built-in limit of 4096x4096 buffers, and your display device is likely to be much smaller still. I suggest you consider down-sampling your image in numarray before processing passing it to imshow. There are a number of people working on algorithms to down-sample images (I think Maxim, the agg author is one of them, and I think the numarray/stsci people are too). If there is a good agg algorithm to do it, it would be nice to expose is in mpl. JDH |
From: Humufr <hu...@ya...> - 2005-04-01 15:25:03
|
Hi, on a pc with linux and 512M of RAM, I have a problem of memory when I'm using matplotlib. from pylab import * imshow(zeros((2000,2000))) show() is working but: from pylab import * imshow(zeros((4000,4000))) show() is not. That slow down the computer, it close to be freeze and I obtain this error (the two error message for show() and savefig('test.png') are at the bottom of the mail. (matshow give exactly the same result) It's a big problem, for me at least, because I'm working with some image with 4000x4000 pixels. Thanks, N. Exception in Tkinter callback Traceback (most recent call last): File "/usr/local/lib/python2.4/lib-tk/Tkinter.py", line 1345, in __call__ return self.func(*args) File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_tkagg.py", line 140, in resize self.show() File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_tkagg.py", line 143, in draw FigureCanvasAgg.draw(self) File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py", line 312, in draw self.figure.draw(renderer) File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", line 395, in draw for a in self.axes: a.draw(renderer) File "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/axes.py", line 1339, in draw im.draw(renderer) File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", line 182, in draw im = self.make_image(isUpper) File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", line 112, in make_image x = self.to_rgba(self._A, self._alpha) File "/usr/local/lib/python2.4/site-packages/matplotlib/cm.py", line 418, in to_rgba return self.cmap(x, alpha) File "/usr/local/lib/python2.4/site-packages/matplotlib/colors.py", line 526, in __call__ rgba = zeros(xa.shape+(4,), Float) File "/usr/local/lib/python2.4/site-packages/numarray/numarraycore.py", line 1407, in zeros retarr = NumArray(shape=shape, type=type) MemoryError: Couldn't allocate requested memory I did the same with savefig Traceback (most recent call last): File "test.py", line 12, in ? savefig('test.png') File "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/pylab.py", line 719, in savefig return fig.savefig(*args, **kwargs) File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", line 512, in savefig self.canvas.print_figure(*args, **kwargs) File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_tkagg.py", line 161, in print_figure agg.print_figure(filename, dpi, facecolor, edgecolor, orientation) File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py", line 375, in print_figure self.draw() File "/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py", line 312, in draw self.figure.draw(renderer) File "/usr/local/lib/python2.4/site-packages/matplotlib/figure.py", line 395, in draw for a in self.axes: a.draw(renderer) File "/scratch/gruel/usr/local/lib/python2.4/site-packages/matplotlib/axes.py", line 1339, in draw im.draw(renderer) File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", line 182, in draw im = self.make_image(isUpper) File "/usr/local/lib/python2.4/site-packages/matplotlib/image.py", line 112, in make_image x = self.to_rgba(self._A, self._alpha) File "/usr/local/lib/python2.4/site-packages/matplotlib/cm.py", line 418, in to_rgba return self.cmap(x, alpha) File "/usr/local/lib/python2.4/site-packages/matplotlib/colors.py", line 526, in __call__ rgba = zeros(xa.shape+(4,), Float) File "/usr/local/lib/python2.4/site-packages/numarray/numarraycore.py", line 1407, in zeros retarr = NumArray(shape=shape, type=type) MemoryError: Couldn't allocate requested memory |
From: Jan R. G. <jr...@gm...> - 2005-03-31 23:59:42
|
thanks to you all, that's a really big help!!! On Thu, 31 Mar 2005 09:38:26 -0500, Darren Dale <dd...@co...> wrote: > On Thursday 31 March 2005 04:34 am, Jan Rienyer Gadil wrote: > > ok, so i've done plotting two list on boa/wxpython > > now, i want to add labels and everything else to my graph... > > adding labels i've done this: > > > > self.figure = Figure() > > self.axes = self.figure.add_subplot(111) > > > > self.axes.plot(parent.listX,parent.listY, 'bo') > > > > self.axes.xlabel(parent.Xaxis.GetStringSelection()) > > self.axes.ylabel(parent.Xaxis.GetStringSelection()) > > > > self.canvas = FigureCanvas(self, -1, self.figure) > > > > =========================================== > > but i'm getting some error that says: > > Traceback (most recent call last): > > File "E:\final docu\Folder4.2pssl2\wxFrame1.py", line 729, in > > OnGraphOldFileButton > > wxFrame2.create(self).Show(true) > > File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 16, in create > > return wxFrame2(parent) > > File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 39, in __init__ > > self.axes.xlabel(parent.Xaxis.GetStringSelection()) > > > > AttributeError: Subplot instance has no attribute 'xlabel' > > > > ============================================== > > what should i do??? > > Hi Jan, > > axes.xlabel doesnt exist. What you are looking for is > > self.axes.set_xlabel(parent.Xaxis.GetStringSelection()) > self.axes.set_ylabel(parent.Xaxis.GetStringSelection()) > > The Matplotlib devs have put a lot of effort into documenting the project. In > situations like this, I often end up relying on the python interactive > interpreter to find the method I am looking for: > > from pylab import * > fig = figure() > ax = fig.add_subplot(111) > dir(ax) > > or you could add a line in your own code: > > self.figure = Figure() > self.axes = self.figure.add_subplot(111) > > self.axes.plot(parent.listX,parent.listY, 'bo') > print dir(self.axes) > > both would give you a list of available methods. > > Hope this helps, > > Darren > |
From: Brian B. <b-m...@bb...> - 2005-03-31 21:54:29
|
John, Kristen: Thanks a lot for the replies! This is really helpful information. Also, John, apologies for not looking in the user's guide. I actually misread its link to be an alternative (PDF) form of the normal docs. Sorry! Thanks again, Brian |
From: John H. <jdh...@ac...> - 2005-03-31 21:10:18
|
What's new in matplotlib 0.74 basic unicode support in *Agg and PS See examples/unicode_demo.py. Unicode strings are rendered in the agg and postscript backends. Currently, all the symbols in the unicode string have to be in the active font file. In later releases we'll try and support symbols from multiple ttf files in one string. No support yet for unicode ttf filenames Auto-legends The automatic placement of legends is now supported with loc='best'; see examples/legend_auto.py. We did this at the matplotlib sprint at pycon -- Thanks John Gill and Phil! Note that your legend will move if you interact with your data and you force data under the legend line. If this is not what you want, use a designated location code. Quiver (direction fields) Ludovic Aubry contributed a patch for the matlab compatible quiver method. This makes a direction field with arrows. See examples/quiver_demo.py boxplot David Haas contributed a matlab-compatible boxplot function -- see examples/boxplot_demo.py. This currently returns all the boxplot boxes, whiskers, flyer points, etc as a list of lines. This will soon be refactored to return multiple lists so that the different elements can be more readily configured. Hubble data example Perry Greenfield of STScIcontributed this nice example showing Hubble data with overlayed contours. http://matplotlib.sf.net/screenshots.html#hstdemo minor enhancements and bug-fixes Some ticker locations bugs were fixed including a problem causing a memory error in psd, an ellipse bug in backend ps that was causing errant lines was fixed, svg text enhanced, added label kwarg to axes constructor to support creation of otherwise identical axes, fixed the NULL string pointer causing some Japanses fonts to segfault mpl Downloads at http://matplotlib.sf.net JDH |
From: Fernando P. <Fer...@co...> - 2005-03-31 19:51:59
|
John Hunter wrote: >>>>>>"Darren" == Darren Dale <dd...@co...> writes: > > > Darren> Segmentation fault > > me too -- does the stat64 call ring a bell with anyone? Or does the > output below indicate the stat64 call succeeded and a subsequent > unknown followup call failed. I'm an strace baby.... > > peds-pc311:~> strace pydoc matplotlib.axes FWIW, identical output here, Fedora 3 box. Python bug, me says. Best, f |
From: John H. <jdh...@ac...> - 2005-03-31 15:34:45
|
>>>>> "Darren" == Darren Dale <dd...@co...> writes: Darren> """ % ', '.join(Axes._events) # <---Whats that Darren> doing there? It's building the appropriate docstring from the Axes._events Note that _events is defined above that docstring with _events = ('xlim_changed', 'ylim_changed') This is basically the principle of trying to avoid having to change things in two places. We do a lot of this kind of stuff with docstrings, especially in the pylab module Eg, for the plot documentation plot.__doc__ = _shift_string(Axes.plot.__doc__) + """ Addition kwargs: hold = [True|False] overrides default hold state""" You can test removing it to see if this is the cause of the segfault, but I would be surprised.... Thanks, JDH |
From: Darren D. <dd...@co...> - 2005-03-31 15:32:25
|
Disregard that last email, I just learned something new. Sorry. -- Darren |
From: Darren D. <dd...@co...> - 2005-03-31 15:29:27
|
On Thursday 31 March 2005 09:56 am, John Hunter wrote: > >>>>> "Darren" == Darren Dale <dd...@co...> writes: > > Darren> Segmentation fault I'm looking through axes.py trying to find a badly formatted docstring (or something) and found this: def connect(self, s, func): """ Register observers to be notified when certain events occur. Register with callback functions with the following signatures. The function has the following signature func(ax) # where ax is the instance making the callback. The following events can be connected to: %s The connection id is is returned - you can use this with disconnect to disconnect from the axes event """ % ', '.join(Axes._events) # <---Whats that doing there? -- Darren |
From: John H. <jdh...@ac...> - 2005-03-31 15:09:14
|
>>>>> "Darren" == Darren Dale <dd...@co...> writes: Darren> Segmentation fault me too -- does the stat64 call ring a bell with anyone? Or does the output below indicate the stat64 call succeeded and a subsequent unknown followup call failed. I'm an strace baby.... peds-pc311:~> strace pydoc matplotlib.axes ...snip.... read(3, "e:\n rowColours = \'w\' "..., 4096) = 4096 read(3, ", x.typecode())\n if len(y"..., 4096) = 4096 read(3, "numRows, numCols, plotNum)\n\n "..., 4096) = 4096 read(3, "nit_bbox(), self.bbox)\n\n\n def"..., 4096) = 4096 read(3, "\')\n t.set_transform(s"..., 4096) = 4096 read(3, "for polar axes (yet)\')\n\n\n def"..., 4096) = 2678 read(3, "", 4096) = 0 close(3) = 0 munmap(0x40ba0000, 4096) = 0 stat64("/usr/local/lib/python2.3/site-packages/matplotlib/axes.py", {st_mode=S_IFREG|0644, st_size=129654, ...}) = 0 --- SIGSEGV (Segmentation fault) @ 0 (0) --- peds-pc311:~> uname -a Linux peds-pc311.bsd.uchicago.edu 2.4.21-15.0.2.ELsmp #1 SMP Wed Jun 16 22:52:07 EDT 2004 i686 i686 i386 GNU/Linux peds-pc311:~> |
From: Darren D. <dd...@co...> - 2005-03-31 14:58:01
|
I am getting a Segmentation fault when I run $ pydoc matplotlib.axes Could someone confirm this? -- Darren |
From: John H. <jdh...@ac...> - 2005-03-31 14:54:53
|
>>>>> "Brian" == Brian B <b-m...@bb...> writes: Brian> Hello, I graph of weather data from a CGI script using the Brian> Agg backend only. The graph is a common time Brian> vs. temperature 2D line plot. Since the graph plots every n Brian> minutes, the lines on the graph tend to look pointed and Brian> not very aesthetically pleasing (as many people have Brian> informed me.) I did some research and found I needed to do Brian> curve fitting. Brian> I'm trying to use 8th order polynomial fitting. I have Brian> found a sample on the Web that shows how to use matplotlib Brian> to do a best-fit line from polyfit, but I want a curve that Brian> follows the curve of weather temperature data. Brian> I plot the data using a list of X-coordinates and a list of Brian> Y-coordinates. I assume I can call polyfit with (x,y,8) Brian> for 8th order polynomial fitting. However, I am not sure Brian> what to do with the results. I have tried to translate the Brian> 1st order polyfit example for my needs but I don't think I Brian> am using the polyfit data correctly. You would need to use polyval to get the results of polyfit (there is an example in the matplotlib Users Guide in the Cookbook chapter for a 3rd order fit), but I don't think you want to use an 8-th order polynomial for this -- as you indicate below, a spline or a filter is a better choice. Brian> Also, it has been suggested that a spline or Butterworth Brian> filter on the data may yield more predictable results. I Brian> have found some of this functionality in SciPy and a nifty Brian> module in a language called Octave. Would matplotlib Brian> benefit from this? Use spline if you want a curve that passes through all your data, use butterworth or convolution if you want to smooth your data. scipy is your best bet -- scipy spline and a butterworth filter examples from my scipy examples directory are included. In general, we try to stay focused on plotting in matplotlib rather than algorithms, and leave algorithms to the scipy folks. They are working hard on getting a modular package that is easy to install. I think it would be useful to provide some wrappers around scipy in the matplotlib.mlab module that exposed a matlab interface to some of their algorithms, with imports done in such a way that having the additional scipy functionality would be optional Here is a scipy spline example, plotted with mpl from scipy import arange, sin, pi, interpolate from pylab import plot, show # Cubic-spline t = arange(0, 2.0, 0.1) y = sin(2*pi*t) tck = interpolate.splrep(t, y, s=0) tnew = arange(0, 2.0, 0.01) ynew = interpolate.splev(tnew, tck, der=0) plot(t, y, 'o', tnew, ynew) show() And here is a butterworth filter. Note that filters can introduce phase shifts in your data (illustrated in this example) so use with caution! from __future__ import division from scipy import signal, arange, sin, pi, linspace, transpose from RandomArray import normal from pylab import plot, show, subplot from scipy.signal import buttord, butter, lfilter dt = 0.001 t = arange(0.0, 10.0, dt) nse = normal(0.0, 0.1, t.shape) #s = s = normal(0.0, 1.0, (len(t),22)) for i in range(22): s[:,i] += sin(2*pi*t) lpcf = 3 lpsf = 5 Nyq = 1/(2*dt) Rp = 2 Rs = 20 Wp = lpcf/Nyq Ws = lpsf/Nyq [n,Wn] = buttord(Wp,Ws,Rp,Rs) [b,a] = butter(n,Wn) xlp = transpose(lfilter(b,a,transpose(s))) subplot(311) plot(t, s[:,0]) subplot(312) plot(t, xlp[:,0]) subplot(313) plot(t, xlp[:,1]) show() Brian> Any assistance is much appreciated. I'm just starting out Brian> on this type of stuff but it is fascinating to work with! Have fun! JDH |
From: Darren D. <dd...@co...> - 2005-03-31 14:38:35
|
On Thursday 31 March 2005 04:34 am, Jan Rienyer Gadil wrote: > ok, so i've done plotting two list on boa/wxpython > now, i want to add labels and everything else to my graph... > adding labels i've done this: > > self.figure = Figure() > self.axes = self.figure.add_subplot(111) > > self.axes.plot(parent.listX,parent.listY, 'bo') > > self.axes.xlabel(parent.Xaxis.GetStringSelection()) > self.axes.ylabel(parent.Xaxis.GetStringSelection()) > > self.canvas = FigureCanvas(self, -1, self.figure) > > =========================================== > but i'm getting some error that says: > Traceback (most recent call last): > File "E:\final docu\Folder4.2pssl2\wxFrame1.py", line 729, in > OnGraphOldFileButton > wxFrame2.create(self).Show(true) > File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 16, in create > return wxFrame2(parent) > File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 39, in __init__ > self.axes.xlabel(parent.Xaxis.GetStringSelection()) > > AttributeError: Subplot instance has no attribute 'xlabel' > > ============================================== > what should i do??? Hi Jan, axes.xlabel doesnt exist. What you are looking for is self.axes.set_xlabel(parent.Xaxis.GetStringSelection()) self.axes.set_ylabel(parent.Xaxis.GetStringSelection()) The Matplotlib devs have put a lot of effort into documenting the project. In situations like this, I often end up relying on the python interactive interpreter to find the method I am looking for: from pylab import * fig = figure() ax = fig.add_subplot(111) dir(ax) or you could add a line in your own code: self.figure = Figure() self.axes = self.figure.add_subplot(111) self.axes.plot(parent.listX,parent.listY, 'bo') print dir(self.axes) both would give you a list of available methods. Hope this helps, Darren |
From: John H. <jdh...@ac...> - 2005-03-31 14:32:16
|
>>>>> "Jan" =3D=3D Jan Rienyer Gadil <jr...@gm...> writes: Jan> ok, so i've done plotting two list on boa/wxpython now, i Jan> want to add labels and everything else to my graph... adding Jan> labels i've done this: Glad to see you are getting this working... self.figure =3D Figure()=20 self.axes =3D self.figure.add_subplot(111)=20=20=20=20=20=20=20 self.axes.plot(parent.listX,parent.listY, 'bo')=20=20=20=20=20=20 self.axes.xlabel(parent.Xaxis.GetStringSelection()) Jan> AttributeError: Subplot instance has no attribute 'xlabel' Rather than giving you the answer, I'll show you how to find it.... You can use python's introspection capability (help, dir, type) to ask an object about itself. You can insert print statements directly into your code print dir(self.axes) # see below the results of dir(self.axes) and look for methods that have the right names. Or you can keep a python shell open and use the python help system. If for example, at the shell you do help(self.axes), you'll find Help on instance of Subplot: <matplotlib.axes.Subplot instance> So self.axes is a Subplot instance. You can then import the Subplot class and get much richer help by doing >>> from matplotlib.axes import Subplot >>> help(Subplot)=20=20 If you don't like working from the shell, head on over to the class docs at http://matplotlib.sourceforge.net/classdocs.html and click on the "axes" link and near the top of your screen you'll seen a link that reads Subplot(SubplotBase, Axes) That means the subplot class is derived from SubplotBase and Axes. Click on Subplot, and read through the available methods. If you get impatient, search the web page for "xlabel" Good luck! JDH Python 2.3.3 (#2, Apr 13 2004, 17:41:29) [GCC 3.3.3] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> from matplotlib.figure import Figure >>> fig =3D Figure() >>> ax =3D fig.add_subplot(111) >>> help(ax) >>> dir(ax) ['__doc__', '__init__', '__module__', '_alpha', '_axisbg', '_cid', '_clipon= ', '_connected', '_contourHelper', '_contourLabeler', '_cursorProps', '_eve= nts', '_frameon', '_get_lines', '_get_patches_for_fill', '_get_verts_in_dat= a_coords', '_gridOn', '_hold', '_init_axis', '_label', '_lod', '_position',= '_send_xlim_event', '_send_ylim_event', '_set_artist_props', '_set_lim_and= _transforms', '_sharex', '_sharey', '_transform', '_transformSet', '_visibl= e', 'add_artist', 'add_collection', 'add_line', 'add_patch', 'add_table', '= aname', 'artists', 'autoscale_view', 'axesPatch', 'axhline', 'axhspan', 'ax= ison', 'axvline', 'axvspan', 'bar', 'barh', 'bbox', 'bottom', 'boxplot', 'c= la', 'clabel', 'clear', 'clipbox', 'cohere', 'colNum', 'collections', 'conn= ect', 'contour', 'contourf', 'csd', 'dataLim', 'disconnect', 'draw', 'error= bar', 'figBottom', 'figH', 'figLeft', 'figW', 'figure', 'fill', 'fmt_xdata'= , 'fmt_ydata', 'format_coord', 'format_xdata', 'format_ydata', 'get_alpha',= 'get_axis_bgcolor', 'get_child_artists', 'get_clip_on', 'get_cursor_props'= , 'get_figure', 'get_frame', 'get_images', 'get_label', 'get_legend', 'get_= lines', 'get_position', 'get_transform', 'get_visible', 'get_xaxis', 'get_x= gridlines', 'get_xlim', 'get_xscale', 'get_xticklabels', 'get_xticklines', = 'get_xticks', 'get_yaxis', 'get_ygridlines', 'get_ylim', 'get_yscale', 'get= _yticklabels', 'get_yticklines', 'get_yticks', 'get_zorder', 'grid', 'has_d= ata', 'hist', 'hlines', 'hold', 'images', 'imshow', 'in_axes', 'is_figure_s= et', 'is_first_col', 'is_first_row', 'is_last_col', 'is_last_row', 'is_tran= sform_set', 'ishold', 'left', 'legend', 'legend_', 'lines', 'loglog', 'numC= ols', 'numRows', 'panx', 'pany', 'patches', 'pcolor', 'pcolor_classic', 'pi= ck', 'pie', 'plot', 'plot_date', 'psd', 'quiver', 'right', 'rowNum', 'scale= d', 'scatter', 'scatter_classic', 'semilogx', 'semilogy', 'set_alpha', 'set= _axis_bgcolor', 'set_axis_off', 'set_axis_on', 'set_clip_box', 'set_clip_on= ', 'set_cursor_props', 'set_figure', 'set_frame_on', 'set_label', 'set_lod'= , 'set_position', 'set_title', 'set_transform', 'set_visible', 'set_xlabel'= , 'set_xlim', 'set_xscale', 'set_xticklabels', 'set_xticks', 'set_ylabel', = 'set_ylim', 'set_yscale', 'set_yticklabels', 'set_yticks', 'set_zorder', 's= pecgram', 'spy', 'spy2', 'stem', 'table', 'tables', 'text', 'texts', 'title= ', 'toggle_log_lineary', 'top', 'transAxes', 'transData', 'update', 'update= _datalim', 'update_datalim_numerix', 'update_from', 'viewLim', 'vlines', 'x= axis', 'yaxis', 'zoomx', 'zoomy', 'zorder'] >>> |
From: Jan R. G. <jr...@gm...> - 2005-03-31 09:34:28
|
ok, so i've done plotting two list on boa/wxpython now, i want to add labels and everything else to my graph... adding labels i've done this: self.figure = Figure() self.axes = self.figure.add_subplot(111) self.axes.plot(parent.listX,parent.listY, 'bo') self.axes.xlabel(parent.Xaxis.GetStringSelection()) self.axes.ylabel(parent.Xaxis.GetStringSelection()) self.canvas = FigureCanvas(self, -1, self.figure) =========================================== but i'm getting some error that says: Traceback (most recent call last): File "E:\final docu\Folder4.2pssl2\wxFrame1.py", line 729, in OnGraphOldFileButton wxFrame2.create(self).Show(true) File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 16, in create return wxFrame2(parent) File "E:\final docu\Folder4.2pssl2\wxFrame2.py", line 39, in __init__ self.axes.xlabel(parent.Xaxis.GetStringSelection()) AttributeError: Subplot instance has no attribute 'xlabel' ============================================== what should i do??? |
From: Jan R. G. <jr...@gm...> - 2005-03-31 07:32:26
|
i'd just like to ask how to make a simple graph of two lists??? i've seen this in the tutorials... a = self.fig.add_subplot(111) t = numpy.arange(0.0,3.0,0.01) s = numpy.sin(2*numpy.pi*t) c = numpy.cos(2*numpy.pi*t) a.plot(t,s) a.plot(t,c) ============= so if i am to plot two lists say listY[] and listX[], i should do this: a.plot(listY, listX) ============= please, any help will be greatly appreciated! |
From: Brian B. <b-m...@bb...> - 2005-03-30 20:59:26
|
Hello, I graph of weather data from a CGI script using the Agg backend only. The graph is a common time vs. temperature 2D line plot. Since the graph plots every n minutes, the lines on the graph tend to look pointed and not very aesthetically pleasing (as many people have informed me.) I did some research and found I needed to do curve fitting. I'm trying to use 8th order polynomial fitting. I have found a sample on the Web that shows how to use matplotlib to do a best-fit line from polyfit, but I want a curve that follows the curve of weather temperature data. I plot the data using a list of X-coordinates and a list of Y-coordinates. I assume I can call polyfit with (x,y,8) for 8th order polynomial fitting. However, I am not sure what to do with the results. I have tried to translate the 1st order polyfit example for my needs but I don't think I am using the polyfit data correctly. Also, it has been suggested that a spline or Butterworth filter on the data may yield more predictable results. I have found some of this functionality in SciPy and a nifty module in a language called Octave. Would matplotlib benefit from this? Any assistance is much appreciated. I'm just starting out on this type of stuff but it is fascinating to work with! Thank you, Brian |
From: Matt N. <new...@ca...> - 2005-03-30 20:57:54
|
Kosta, > I'm trying to embed matplotlib on WX (which seems to work well for the > moment). I'd like to avoid the wx mainloop() by making it run in a > different thread than that of my main program. > > The classical way of doing (using show() ) doesn't work. The > first time, the figure becomes the main thread and my program > stops running until I close the window. The second time I call > it though, my program remains the main thread... Check the > following code Hmm, could you explain why you want to avoid the wx mainloop, and what you mean by this. Do want wx to process events, right? You say you're trying to embed matplotlib on WX, but the code you posted doesn't do this. It uses pylab, which creates a wx App and runs its mainloop when you do show(). My guess is that you're probably start getting the behavior you expect once that auto-created wxapp is killed. A simple answer would be to not use pylab, and just use a matplotlib FigureCanvas with wx. You'd have a mainloop then (I don't see how you avoid that!!). You could start another thread for non-GUI processing if you wanted, or *use* the mainloop's events (timers or data-changing events) to update the plot. Hope that helps, --Matt |
From: John H. <jdh...@ac...> - 2005-03-30 20:48:11
|
>>>>> "Jean-Michel" == Jean-Michel Philippe <jea...@ar...> writes: Jean-Michel> Yes I have but was a little bit disappointed since Jean-Michel> this nested expression fails (matplotlib 0.72): Jean-Michel> \rm{\acute{e}} This was a parser bug in mathtext which is fixed in CVS. Be sure and let me know when you encounter these kinds of problems since they are usually easy to fix While I was at it, I also implemented unicode support for the *Agg and PS backends :-) If you have access to CVS, you may want to give it a test drive. See examples/unicode_demo.py. CVS mirrors may lag. Jean-Michel> Believe me I would really be glad to participate to Jean-Michel> the matplotlib source code. Unfortunately I don't Jean-Michel> think I have the required skills (unless you know Jean-Michel> some introducing pages that could change my opinion?) Jean-Michel> and my company - a research centre - isn't mature Jean-Michel> enough to let us participate to open source :-(. It Jean-Michel> is even hard to make people accept open source Jean-Michel> software for everyday use... They don't feel secure Jean-Michel> if do not pay for! If they are looking for someone to pay.... :-) JDH |
From: Matt N. <new...@ca...> - 2005-03-30 20:41:35
|
Jan, On many lists, asking 'please help me' three times in under twelve hours is liable to get you no help at all, and quite possibly prevent people from helping you in the future. > could anyone show me how to incorporate this example on my GUI? > > what i want to do is to implement this in a wxPanel that is > part of my wxFrame, but i am getting errors that says wxPanel > instance has no attribute GetToolBar... The embedding_in_wx*.py examples didn't help?? The code you posted doesn't have a wxPanel or a wxFrame, so it's difficult to say what the problem might be or what you actually want to do. In general, you can put a FigureCanvasXXX on a wxPanel or wxFrame. A simple example putting a figure on a wxPanel is below. Hope that helps, --Matt import wx from matplotlib.numerix import arange, sin, pi from matplotlib.figure import Figure from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg class PlotPanel(wx.Panel): def __init__(self,parent=None): wx.Panel.__init__(self,parent,-1) self.fig = Figure((5,4), 75) self.canvas = FigureCanvasWxAgg(self,-1,self.fig) self.axes = self.fig.add_axes([0.12,0.12,0.76,0.76]) sizer = wx.BoxSizer(wx.VERTICAL) sizer.Add(self.canvas,1, wx.LEFT|wx.TOP) self.SetSizer(sizer) ; self.Fit() def plot(self,x,y): self.axes.cla() self.axes.plot(x,y) class PlotFrame(wx.Frame): def __init__(self,parent=None): wx.Frame.__init__(self,parent,-1,'Frame') self.plotpanel = PlotPanel(self) sizer = wx.BoxSizer(wx.VERTICAL) sizer.Add(wx.StaticText(self, -1 , ' WX Matplotlib example ') ,0, wx.LEFT|wx.TOP) sizer.Add(self.plotpanel,1, wx.LEFT|wx.TOP) self.SetSizer(sizer) ; self.Fit() def plot(self,x,y): self.plotpanel.plot(x,y) if __name__ == '__main__': app = wx.PySimpleApp() frame = PlotFrame() x = arange(0,10.0,0.025) y = sin(x*pi/2) frame.plot(x,y) frame.Show() app.MainLoop() |
From: John H. <jdh...@ac...> - 2005-03-30 16:20:11
|
>>>>> "Laurent" == Laurent THIOUDELLET <lau...@la...> writes: Laurent> The error is reproduced hereafter: Laurent> In file included from src/_gtkagg.cpp:8: Laurent> /usr/include/pygtk-2.0/pygobject.h:124: error: expected Laurent> `,' or `...' before "typename" Laurent> /usr/include/pygtk-2.0/pygobject.h:131: error: expected Laurent> `,' or `...' before "typename" In file included from This is a pygtk bug, discussed here: http://matplotlib.sourceforge.net/faq.html#PYGTK24 Search the matplotlib-users archive at http://sourceforge.net/mailarchive/forum.php?forum_id=33405 for "typename" for more specific information. JDH |
From: John H. <jdh...@ac...> - 2005-03-30 16:17:02
|
>>>>> "Jessika" == Jessika Chumak <eli...@ya...> writes: Jessika> hours = HourLocator() minutes = MinuteLocator() timeFmt = Jessika> DateFormatter('%H:%M') Jessika> ax.xaxis.set_major_locator(hours) Jessika> ax.xaxis.set_minor_locator(minutes) Jessika> ax.xaxis.set_minor_formatter(timeFmt) Jessika> ax.autoscale_view() Jessika> Am I too far off target here? Because I can't get it to Jessika> work. Jessika> I've also looked at the user's manual (5.4 example 2: Jessika> date ticking). Could someone please point me in the Jessika> right direction or provide an example of how it _should_ Jessika> be done? Thank you in advance. All of the date ticker locators accept ranges to indicate where you want the ticks. See, eg, http://matplotlib.sourceforge.net/matplotlib.dates.html#MinuteLocator To tick every 5 minutes, just give the range of minutes you want ticked loc = MinuteLocator(range(5,60,5)) # don't tick on 0 and 60 loc = MinuteLocator(range(0,61,5)) # tick on 0 and 60 as well The default is to tick on every minute... JDH |
From: Laurent T. <lau...@la...> - 2005-03-30 01:38:51
|
Hello all, I am trying to install matplotlib for Python 2.3 under Linux (Mandrake 10.1 AMD64) and the installation fails while trying to perform the build command. I checked for the prerequisite and all the recommended packages seem to be correctly installed. I am unable to understand the compilation error as it does not look like a trivial error (include file missing, library not reachable, ....) and as my C++ and Python skills are yet very weak. The error is reproduced hereafter: [root@TigerBox matplotlib-0.73.1]# python setup.py build running build running build_py running build_ext building 'matplotlib.backends._gtkagg' extension creating build/temp.linux-x86_64-2.3 creating build/temp.linux-x86_64-2.3/src creating build/temp.linux-x86_64-2.3/CXX gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c CXX/IndirectPythonInterface.cxx -o build/temp.linux-x86_64-2.3/CXX/IndirectPythonInterface.o gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c CXX/cxxextensions.c -o build/temp.linux-x86_64-2.3/CXX/cxxextensions.o gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c CXX/cxx_extensions.cxx -o build/temp.linux-x86_64-2.3/CXX/cxx_extensions.o ./CXX/Extensions.hxx: In constructor `Py::PythonExtension<T>::PythonExtension() [with T = Py::ExtensionModuleBasePtr]': CXX/cxx_extensions.cxx:92: instantiated from here ./CXX/Extensions.hxx:472: warning: right-hand operand of comma has no effect gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c src/mplutils.cpp -o build/temp.linux-x86_64-2.3/src/mplutils.o gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c CXX/cxxsupport.cxx -o build/temp.linux-x86_64-2.3/CXX/cxxsupport.o gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -pipe -Wall -g -fPIC -I/usr/local/include -I/usr/include -Isrc -Iagg22/include -I. -I/usr/local/include -I/usr/include -I/usr/local/include/freetype2 -I/usr/include/freetype2 -Isrc/freetype2 -Iagg22/include/freetype2 -I./freetype2 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I/usr/include/pygtk-2.0 -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/gtk-2.0 -I/usr/lib64/gtk-2.0/include -I/usr/X11R6/include -I/usr/include/atk-1.0 -I/usr/include/pango-1.0 -I/usr/include/freetype2 -I/usr/include/freetype2/freetype2 -I/usr/include/freetype2/freetype2/config -I/usr/include/glib-2.0 -I/usr/lib64/glib-2.0/include -I/usr/include/python2.3 -c src/_gtkagg.cpp -o build/temp.linux-x86_64-2.3/src/_gtkagg.o In file included from /usr/include/python2.3/Python.h:8, from /usr/include/pygtk-2.0/pygobject.h:5, from src/_gtkagg.cpp:8: /usr/include/python2.3/pyconfig.h:850:1: warning: "_POSIX_C_SOURCE" redefined In file included from /usr/include/string.h:26, from /usr/lib64/gcc/x86_64-mandrake-linux-gnu/3.4.1/../../../../include/c++/3.4.1/cstring:51, from src/_gtkagg.cpp:1: /usr/include/features.h:132:1: warning: this is the location of the previous definition In file included from src/_gtkagg.cpp:8: /usr/include/pygtk-2.0/pygobject.h:124: error: expected `,' or `...' before "typename" /usr/include/pygtk-2.0/pygobject.h:131: error: expected `,' or `...' before "typename" In file included from agg22/include/agg_vertex_sequence.h:23, from agg22/include/agg_vcgen_contour.h:20, from agg22/include/agg_conv_contour.h:23, from src/_backend_agg.h:13, from src/_gtkagg.cpp:11: agg22/include/agg_array.h: In member function `agg::int8u* agg::pod_allocator::allocate(unsigned int, unsigned int)': agg22/include/agg_array.h:581: warning: cast from pointer to integer of different size error: command 'gcc' failed with exit status 1 I wonder if it can be due to x86_64 architecture or a wrong devel version in the required libs. It would be a great help if someone could give me a few advices or an idea about how to yank out this nasty mess. I thank you in advance for your contribution and feel sorry for my bad english, Laurent PS: I successfuly built gtk, pygtk, numarray, OpenGL for my python 2.3 |
From: Jan R. G. <jr...@gm...> - 2005-03-29 22:18:40
|
please, help me on this! On Tue, 29 Mar 2005 10:11:20 -0800, Jan Rienyer Gadil <jr...@gm...> wrote: > any help will be very much appreciated... > or could you suggest a better implementation of this graphing part > > > On Tue, 29 Mar 2005 08:54:06 -0800, Jan Rienyer Gadil <jr...@gm...> wrote: > > could anyone show me how to incorporate this example on my GUI? > > > > what i want to do is to implement this in a wxPanel that is part of my > > wxFrame, but i am getting errors that says wxPanel instance has no > > attribute GetToolBar... > > > > how am i going to get around with this??? > > > > actually, i am doing this because i'm making a graph based on some > > data stored on a list. what i am thinking is to just replace t,s,and c > > part of this example with my group of list : > > > > def plot_data(self): > > # Use ths line if using a toolbar > > a = self.fig.add_subplot(111) > > > > # Or this one if there is no toolbar > > #a = Subplot(self.fig, 111) > > > > t = numpy.arange(0.0,3.0,0.01) > > s = numpy.sin(2*numpy.pi*t) > > c = numpy.cos(2*numpy.pi*t) > > a.plot(t,s) > > a.plot(t,c) > > self.toolbar.update() > > > > please, i need help asap... > > > |