[Matplotlib-users] [matplotlib-users] Is it possible to show a fullscreen plot on windows?

2012-02-06 Thread Fabien Lafont
The question is inside the title...

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Re: [Matplotlib-users] specgram memory problem

2012-02-06 Thread Fabrice Silva
On Sat, Feb 4, 2012 at 9:44 AM, Fabrice Silva si...@lma.cnrs-mrs.fr wrote:
 Le vendredi 03 février 2012 à 17:39 +, David Craig a écrit :
  sure how to get it to plot the outputs from specgram. I use
  specgram as follows,
  Pxx, freqs, bins, im = plt.specgram(..)
  what am I trying imshow??
 
 
 plt.specgram computes the spectrogram and when calls imshow to display
 the resulting array into an image
 
 Please tell the shape of Pxx, and try the following
 
 import numpy as np
 import matplotlib.pyplot as plt
 a = np.empty((12000, 14400), dtype=float)
 plt.imshow(a)
 plt.show()

Le samedi 04 février 2012 à 10:30 +, David Craig a écrit :
 Pxx has shape (6001, 1430) and when I tried the lines of code it returned the 
 following memory error,
 
 Traceback (most recent call last):
   File /usr/lib/python2.7/site-packages/matplotlib/backends/backend_gtk.py, 
 line 394, in expose_event
 self._render_figure(self._pixmap, w, h)
   File 
 /usr/lib/python2.7/site-packages/matplotlib/backends/backend_gtkagg.py, 
 line 75, in _render_figure
 FigureCanvasAgg.draw(self)
   File /usr/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py, 
 line 394, in draw
 self.figure.draw(self.renderer)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py, line 55, in 
 draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/figure.py, line 798, in 
 draw
 func(*args)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py, line 55, in 
 draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/axes.py, line 1946, in 
 draw
 a.draw(renderer)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py, line 55, in 
 draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/image.py, line 354, in 
 draw
 im = self.make_image(renderer.get_image_magnification())
   File /usr/lib/python2.7/site-packages/matplotlib/image.py, line 569, in 
 make_image
 transformed_viewLim)
   File /usr/lib/python2.7/site-packages/matplotlib/image.py, line 201, in 
 _get_unsampled_image
 x = self.to_rgba(self._A, self._alpha)
   File /usr/lib/python2.7/site-packages/matplotlib/cm.py, line 193, in 
 to_rgba
 x = self.norm(x)
   File /usr/lib/python2.7/site-packages/matplotlib/colors.py, line 802, in 
 __call__
 val = ma.asarray(value).astype(np.float)
   File /usr/lib/python2.7/site-packages/numpy/ma/core.py, line 2908, in 
 astype
 output = self._data.astype(newtype).view(type(self))
 MemoryError

Please, answer on the mailing list,
It confirms that the troubles lie in the rendering of images. Could you
tell the versions of numpy and matplotlib you are using, and the
characteristics of the computer you are working on ?


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Re: [Matplotlib-users] Setting x scale manually, but letting y scale automatic within the current x-axis

2012-02-06 Thread Pål Gunnar Ellingsen
Hi

I understand that it would be hard to implement, as it requires that all
the points are checked, which for a arbitrary plot is not easy.
Though is this not what is already done for the normal autoscale, or have I
misunderstood how the normal autoscale is done?

I would like to have this as a new feature, as it would prove useful for
analysing graphs, especially in scientific research.

Kind regards

Pål





On 3 February 2012 19:56, Eric Firing efir...@hawaii.edu wrote:

 On 02/03/2012 06:07 AM, Benjamin Root wrote:
 
 
  On Fri, Feb 3, 2012 at 9:15 AM, Pål Gunnar Ellingsen paa...@gmail.com
  mailto:paa...@gmail.com wrote:
 
  Hi
 
  Thank you for trying to help me, though I can't see how aspect is
 going
  to help me. As I understand of the documentation, it would require
  me to know the
  relationship between x and y, which I don't.
  I can calculate it, but since it varies between each change in
 xlimits
  and different plot, it would be the same as calculating the ylimits.
 
  As for pyplot.xlim(xmin,xmax) (suggested by Ethan Swint), it does
  the same as ax.set_xlim() for me.
 
  Below is a sample code that will illustrate the problem.
 
  Regards
 
  Pål
 
  ### Start code 
 
  #!/usr/bin/env python
  import matplotlib
  matplotlib.use('Qt4Agg')   # generate postscript output by default
 
  import matplotlib.pyplot as plt
  import numpy as np
 
  # Creating a function to plot
  x = np.linspace(-10, 10, 200)
  p = np.poly1d([2, 3, 1, 4])
  y = p(x) * np.sin(x)
 
  # plotting the full figure
  fig = plt.figure()
 
  ax = fig.add_subplot(111)
  ax.plot(x, y)
  ax.autoscale(tight=True)
  plt.title('Full graph. (Press key for next plot)')
  plt.draw()
 
  plt.waitforbuttonpress()
 
  # This is how I'm currently doing it
  # x limits
  xmin = 2
  xmax = 6
 
  # Calculating y limits
  ymin = y[np.logical_and(xmin  x, x  xmax)].min()
  ymax = y[np.logical_and(xmin  x, x  xmax)].max()
 
  # Inserting some room
  room = np.maximum(np.abs(ymin * 0.05), np.abs(ymax * 0.05))
  ymin = ymin + room * np.sign(ymin)
  ymax = ymax + room * np.sign(ymax)
 
  # Setting the limits
  ax.set_xlim([xmin, xmax])
  ax.set_ylim([ymin, ymax])
 
  plt.title('What I want (Press key for next plot)')
  plt.draw()
  plt.waitforbuttonpress()
 
  # This is what pyplot does by default if I only set the limits
  ax.autoscale(tight=True)
  ax.set_xlim([2, 6])
 
  plt.title('What I get if I only use set_xlim (Press key for exit)')
  plt.draw()
  plt.waitforbuttonpress()
  plt.close()
 
  ### End code 
 
 
 
  Ok, I see what you want.  You want the y-limits to automatically change
  to fit only the data that is displayed for the x-domain you have chosen.

 This has never been supported; it would have to be a new option.  I
 suspect it would be quite difficult to get this right in general, even
 though the concept seems simple enough.

 Eric

 
  I have tried some tricks, and I am not sure that it is currently
  possible.  There might even be some sort of bug at play here because the
  function ax.update_datalim() does not appear to update the internal data
  used for autoscaling.  We might have to look into this further.
 
  Ben Root
 
 
 
 
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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

2012-02-06 Thread Jae-Joon Lee
Thanks. Now I understand the situation.

As far as I can see, marker=, is implemented as a rectangle path
with width/height of 1 pixel, so this result in 2x2 pixel filled
square.
I tried to change the size of the rectangle, etc, to get a single
pixel filled square, but did not get a satisfactory result.
I think we need an Agg expert. I hope Mike or others take a look.

Chris,
if you do not get a response from others in this mailing list, I
recommend you to open a new issue in our github page.

Regards,

-JJ


On Mon, Feb 6, 2012 at 1:53 AM, Chris plut...@gmail.com wrote:
 Thanks JJ.

 The problem seems not to be a size issue --  markersize has no effect
 when use marker=, (pixel).  I have also tried to turn off aa, and it
 doesn't help either.  I also tried different backends.  The PNG output
 from Agg and Cairo is slightly different: Agg's point has 4 solid
 pixel, while Cairo's has 4 pixel with random shade.

 Postscript output has the same problem.  The pixel in an EPS file
 generated by mpl is significantly bigger than that from another
 drawing program I used.

 The problem occurs in all my plotting scripts, e.g., this basic one:

 [CODE]
 import numpy as np

 x=np.arange(100)
 y=np.random.randn(100)

 ioff()
 fig=gcf()
 fig.clf()

 ax=fig.add_axes(0.15,0.1,0.8, 0.85)
 ax.plot(x,y,k,)

 ion()
 fig.canvas.draw()
 [/CODE]

 Here is how I identify the problem:
 1. use the above script to plot on screen
 2. savefig(plot.png)
 3. open plot.png in GIMP and check the pixel size.

 I also attached the two PNG files generated with Agg and Cairo backends.


 On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 How are you plotting your points.

 If you use *plot*, there is a *markersize* parameter.
 If you use *scatter*, the third argument controls the marker size.

 But you may actually complaining about other issues, e.g.,
 antialiasing, etc. So, if above are not your answer, please post a
 complete example and describe your problem in more detail.

 Regards,

 -JJ


 On Sat, Feb 4, 2012 at 2:15 PM, Chris plut...@gmail.com wrote:
 I noticed this a few years back, but left it aside because most of the
 time I can live with it.  Recently I need to make a few plots
 containing a few million points, and 4 pixels for a point is a
 disaster.  So my question is why the pixel marker size is set at 4
 pixels?  And is there anyway to change it to a single pixel?

 Thanks,
 Chris

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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

2012-02-06 Thread Jonathan Slavin
Chris,

You might want to try a module written by Tom Robitaille (aka astrofrog)
called rasterized_scatter.  Look for it on github.

Jon

On Mon, 2012-02-06 at 21:28 +0900, Jae-Joon Lee wrote:
 Thanks. Now I understand the situation.
 
 As far as I can see, marker=, is implemented as a rectangle path
 with width/height of 1 pixel, so this result in 2x2 pixel filled
 square.
 I tried to change the size of the rectangle, etc, to get a single
 pixel filled square, but did not get a satisfactory result.
 I think we need an Agg expert. I hope Mike or others take a look.
 
 Chris,
 if you do not get a response from others in this mailing list, I
 recommend you to open a new issue in our github page.
 
 Regards,
 
 -JJ
 
 
 On Mon, Feb 6, 2012 at 1:53 AM, Chris plut...@gmail.com wrote:
  Thanks JJ.
 
  The problem seems not to be a size issue --  markersize has no effect
  when use marker=, (pixel).  I have also tried to turn off aa, and it
  doesn't help either.  I also tried different backends.  The PNG output
  from Agg and Cairo is slightly different: Agg's point has 4 solid
  pixel, while Cairo's has 4 pixel with random shade.
 
  Postscript output has the same problem.  The pixel in an EPS file
  generated by mpl is significantly bigger than that from another
  drawing program I used.
 
  The problem occurs in all my plotting scripts, e.g., this basic one:
 
  [CODE]
  import numpy as np
 
  x=np.arange(100)
  y=np.random.randn(100)
 
  ioff()
  fig=gcf()
  fig.clf()
 
  ax=fig.add_axes(0.15,0.1,0.8, 0.85)
  ax.plot(x,y,k,)
 
  ion()
  fig.canvas.draw()
  [/CODE]
 
  Here is how I identify the problem:
  1. use the above script to plot on screen
  2. savefig(plot.png)
  3. open plot.png in GIMP and check the pixel size.
 
  I also attached the two PNG files generated with Agg and Cairo backends.
 
 
  On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
  How are you plotting your points.
 
  If you use *plot*, there is a *markersize* parameter.
  If you use *scatter*, the third argument controls the marker size.
 
  But you may actually complaining about other issues, e.g.,
  antialiasing, etc. So, if above are not your answer, please post a
  complete example and describe your problem in more detail.
 
  Regards,
 
  -JJ
 
 
  On Sat, Feb 4, 2012 at 2:15 PM, Chris plut...@gmail.com wrote:
  I noticed this a few years back, but left it aside because most of the
  time I can live with it.  Recently I need to make a few plots
  containing a few million points, and 4 pixels for a point is a
  disaster.  So my question is why the pixel marker size is set at 4
  pixels?  And is there anyway to change it to a single pixel?
 
  Thanks,
  Chris


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[Matplotlib-users] Change xaxis labels

2012-02-06 Thread David Craig
Hi, I have a plot and the xaxis shows number of seconds after a start 
point. I would like to convert them to days anyone know how to do this. 
I have looked at the documentation but cant find what I need.

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Re: [Matplotlib-users] Change xaxis labels

2012-02-06 Thread C M
On Mon, Feb 6, 2012 at 9:23 AM, David Craig dcdavem...@gmail.com wrote:

 Hi, I have a plot and the xaxis shows number of seconds after a start
 point. I would like to convert them to days anyone know how to do this.
 I have looked at the documentation but cant find what I need.


Couldn't you divide your data points by the conversion (86400) before
plotting?  E.g., 432,000 seconds then becomes 5 days.
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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

2012-02-06 Thread Michael Droettboom
I'm looking into the source of this bug now.

Mike

On 02/06/2012 09:19 AM, Jonathan Slavin wrote:
 Chris,

 You might want to try a module written by Tom Robitaille (aka astrofrog)
 called rasterized_scatter.  Look for it on github.

 Jon

 On Mon, 2012-02-06 at 21:28 +0900, Jae-Joon Lee wrote:
 Thanks. Now I understand the situation.

 As far as I can see, marker=, is implemented as a rectangle path
 with width/height of 1 pixel, so this result in 2x2 pixel filled
 square.
 I tried to change the size of the rectangle, etc, to get a single
 pixel filled square, but did not get a satisfactory result.
 I think we need an Agg expert. I hope Mike or others take a look.

 Chris,
 if you do not get a response from others in this mailing list, I
 recommend you to open a new issue in our github page.

 Regards,

 -JJ


 On Mon, Feb 6, 2012 at 1:53 AM, Chrisplut...@gmail.com  wrote:
 Thanks JJ.

 The problem seems not to be a size issue --  markersize has no effect
 when use marker=, (pixel).  I have also tried to turn off aa, and it
 doesn't help either.  I also tried different backends.  The PNG output
 from Agg and Cairo is slightly different: Agg's point has 4 solid
 pixel, while Cairo's has 4 pixel with random shade.

 Postscript output has the same problem.  The pixel in an EPS file
 generated by mpl is significantly bigger than that from another
 drawing program I used.

 The problem occurs in all my plotting scripts, e.g., this basic one:

 [CODE]
 import numpy as np

 x=np.arange(100)
 y=np.random.randn(100)

 ioff()
 fig=gcf()
 fig.clf()

 ax=fig.add_axes(0.15,0.1,0.8, 0.85)
 ax.plot(x,y,k,)

 ion()
 fig.canvas.draw()
 [/CODE]

 Here is how I identify the problem:
 1. use the above script to plot on screen
 2. savefig(plot.png)
 3. open plot.png in GIMP and check the pixel size.

 I also attached the two PNG files generated with Agg and Cairo backends.


 On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Leelee.j.j...@gmail.com  wrote:
 How are you plotting your points.

 If you use *plot*, there is a *markersize* parameter.
 If you use *scatter*, the third argument controls the marker size.

 But you may actually complaining about other issues, e.g.,
 antialiasing, etc. So, if above are not your answer, please post a
 complete example and describe your problem in more detail.

 Regards,

 -JJ


 On Sat, Feb 4, 2012 at 2:15 PM, Chrisplut...@gmail.com  wrote:
 I noticed this a few years back, but left it aside because most of the
 time I can live with it.  Recently I need to make a few plots
 containing a few million points, and 4 pixels for a point is a
 disaster.  So my question is why the pixel marker size is set at 4
 pixels?  And is there anyway to change it to a single pixel?

 Thanks,
 Chris

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Re: [Matplotlib-users] Setting x scale manually, but letting y scale automatic within the current x-axis

2012-02-06 Thread Benjamin Root
On Mon, Feb 6, 2012 at 4:47 AM, Pål Gunnar Ellingsen paa...@gmail.comwrote:

 Hi

 I understand that it would be hard to implement, as it requires that all
 the points are checked, which for a arbitrary plot is not easy.
 Though is this not what is already done for the normal autoscale, or have
 I misunderstood how the normal autoscale is done?

 I would like to have this as a new feature, as it would prove useful for
 analysing graphs, especially in scientific research.

 Kind regards

 Pål



Pal,

Normal autoscaling (when aspect is None, which is default) means to display
all the data that has been plotted.  This is possible because the plotting
functions (which were given the data as input) updates the limits of the
known data bounding box for the axes.  This data is not stored except
within each artist object, in their own form. It becomes difficult to then
re-query that data in the general case.  It isn't to say that it isn't
possible to do, just that the architecture isn't set up to query subsets of
collections.

I hope this is clearer,
Ben Root
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Re: [Matplotlib-users] Setting x scale manually, but letting y scale automatic within the current x-axis

2012-02-06 Thread Pål Gunnar Ellingsen
Hi

That was a very nice explanation of how autoscale works, thank you very
much :D
After now understanding how the function autoscale function works, I see
that this would be a major change in the code, as it would require the axes
to know all of the bounding boxes, and not only one of them.
As it, at least in my code, is easy to calculate the new limits on the
unset axis, I would not put this up as something that should be a feature.
Though I think the documentation for autoscale, section axis could be a bit
clearer and state that autoscaling only one axis autoscales that axis with
respect to everything plotted, even though xlim/ylim has been set.

Regards

Pål


On 6 February 2012 18:02, Benjamin Root ben.r...@ou.edu wrote:



 On Mon, Feb 6, 2012 at 4:47 AM, Pål Gunnar Ellingsen paa...@gmail.comwrote:

 Hi

 I understand that it would be hard to implement, as it requires that all
 the points are checked, which for a arbitrary plot is not easy.
 Though is this not what is already done for the normal autoscale, or have
 I misunderstood how the normal autoscale is done?

 I would like to have this as a new feature, as it would prove useful for
 analysing graphs, especially in scientific research.

 Kind regards

 Pål



 Pal,

 Normal autoscaling (when aspect is None, which is default) means to
 display all the data that has been plotted.  This is possible because the
 plotting functions (which were given the data as input) updates the limits
 of the known data bounding box for the axes.  This data is not stored
 except within each artist object, in their own form. It becomes difficult
 to then re-query that data in the general case.  It isn't to say that it
 isn't possible to do, just that the architecture isn't set up to query
 subsets of collections.

 I hope this is clearer,
 Ben Root


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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

2012-02-06 Thread Chris
JJ,

Thanks for the clarification.  Now I understand why EPS outputs of
pixel plot from mpl is a few times bigger than those from SuperMongo.
I guess that mpl uses the square implementation for pixel so that it
would use the same method to handle all marker types.  I will file an
issue report on git.  Meanwhile, is there any easy workaround?

Jonathan,

Tom Robitaille's module does help reducing file size of postscript,
but by rasterize a scalable plot.  It doesn't really help my problem
since the markers are still drawn with the same method as other
plotting methods.

Bests,
Chris


On Mon, Feb 6, 2012 at 4:28 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 Thanks. Now I understand the situation.

 As far as I can see, marker=, is implemented as a rectangle path
 with width/height of 1 pixel, so this result in 2x2 pixel filled
 square.
 I tried to change the size of the rectangle, etc, to get a single
 pixel filled square, but did not get a satisfactory result.
 I think we need an Agg expert. I hope Mike or others take a look.

 Chris,
 if you do not get a response from others in this mailing list, I
 recommend you to open a new issue in our github page.

 Regards,

 -JJ



On Mon, Feb 6, 2012 at 6:19 AM, Jonathan Slavin jsla...@cfa.harvard.edu wrote:
 Chris,

 You might want to try a module written by Tom Robitaille (aka astrofrog)
 called rasterized_scatter.  Look for it on github.

 Jon

 On Mon, 2012-02-06 at 21:28 +0900, Jae-Joon Lee wrote:
 Thanks. Now I understand the situation.

 As far as I can see, marker=, is implemented as a rectangle path
 with width/height of 1 pixel, so this result in 2x2 pixel filled
 square.
 I tried to change the size of the rectangle, etc, to get a single
 pixel filled square, but did not get a satisfactory result.
 I think we need an Agg expert. I hope Mike or others take a look.

 Chris,
 if you do not get a response from others in this mailing list, I
 recommend you to open a new issue in our github page.

 Regards,

 -JJ


 On Mon, Feb 6, 2012 at 1:53 AM, Chris plut...@gmail.com wrote:
  Thanks JJ.
 
  The problem seems not to be a size issue --  markersize has no effect
  when use marker=, (pixel).  I have also tried to turn off aa, and it
  doesn't help either.  I also tried different backends.  The PNG output
  from Agg and Cairo is slightly different: Agg's point has 4 solid
  pixel, while Cairo's has 4 pixel with random shade.
 
  Postscript output has the same problem.  The pixel in an EPS file
  generated by mpl is significantly bigger than that from another
  drawing program I used.
 
  The problem occurs in all my plotting scripts, e.g., this basic one:
 
  [CODE]
  import numpy as np
 
  x=np.arange(100)
  y=np.random.randn(100)
 
  ioff()
  fig=gcf()
  fig.clf()
 
  ax=fig.add_axes(0.15,0.1,0.8, 0.85)
  ax.plot(x,y,k,)
 
  ion()
  fig.canvas.draw()
  [/CODE]
 
  Here is how I identify the problem:
  1. use the above script to plot on screen
  2. savefig(plot.png)
  3. open plot.png in GIMP and check the pixel size.
 
  I also attached the two PNG files generated with Agg and Cairo backends.
 
 
  On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
  How are you plotting your points.
 
  If you use *plot*, there is a *markersize* parameter.
  If you use *scatter*, the third argument controls the marker size.
 
  But you may actually complaining about other issues, e.g.,
  antialiasing, etc. So, if above are not your answer, please post a
  complete example and describe your problem in more detail.
 
  Regards,
 
  -JJ
 
 
  On Sat, Feb 4, 2012 at 2:15 PM, Chris plut...@gmail.com wrote:
  I noticed this a few years back, but left it aside because most of the
  time I can live with it.  Recently I need to make a few plots
  containing a few million points, and 4 pixels for a point is a
  disaster.  So my question is why the pixel marker size is set at 4
  pixels?  And is there anyway to change it to a single pixel?
 
  Thanks,
  Chris


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Re: [Matplotlib-users] specgram memory problem

2012-02-06 Thread David Craig
I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4  
intel core CPUs @ 2.3GHz each. Available disk space is 147.9GiB.
numpy 1.6.0
matplotlib 1.0.1


On 6 Feb 2012, at 10:29, Fabrice Silva wrote:

 On Sat, Feb 4, 2012 at 9:44 AM, Fabrice Silva si...@lma.cnrs- 
 mrs.fr wrote:
 Le vendredi 03 février 2012 à 17:39 +, David Craig a  
 écrit :
 sure how to get it to plot the outputs from specgram. I use
 specgram as follows,
 Pxx, freqs, bins, im = plt.specgram(..)
 what am I trying imshow??


 plt.specgram computes the spectrogram and when calls  
 imshow to display
 the resulting array into an image

 Please tell the shape of Pxx, and try the following

 import numpy as np
 import matplotlib.pyplot as plt
 a = np.empty((12000, 14400), dtype=float)
 plt.imshow(a)
 plt.show()

 Le samedi 04 février 2012 à 10:30 +, David Craig a écrit :
 Pxx has shape (6001, 1430) and when I tried the lines of code it  
 returned the following memory error,

 Traceback (most recent call last):
   File /usr/lib/python2.7/site-packages/matplotlib/backends/ 
 backend_gtk.py, line 394, in expose_event
 self._render_figure(self._pixmap, w, h)
   File /usr/lib/python2.7/site-packages/matplotlib/backends/ 
 backend_gtkagg.py, line 75, in _render_figure
 FigureCanvasAgg.draw(self)
   File /usr/lib/python2.7/site-packages/matplotlib/backends/ 
 backend_agg.py, line 394, in draw
 self.figure.draw(self.renderer)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py,  
 line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/figure.py,  
 line 798, in draw
 func(*args)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py,  
 line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/axes.py, line  
 1946, in draw
 a.draw(renderer)
   File /usr/lib/python2.7/site-packages/matplotlib/artist.py,  
 line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
   File /usr/lib/python2.7/site-packages/matplotlib/image.py,  
 line 354, in draw
 im = self.make_image(renderer.get_image_magnification())
   File /usr/lib/python2.7/site-packages/matplotlib/image.py,  
 line 569, in make_image
 transformed_viewLim)
   File /usr/lib/python2.7/site-packages/matplotlib/image.py,  
 line 201, in _get_unsampled_image
 x = self.to_rgba(self._A, self._alpha)
   File /usr/lib/python2.7/site-packages/matplotlib/cm.py, line  
 193, in to_rgba
 x = self.norm(x)
   File /usr/lib/python2.7/site-packages/matplotlib/colors.py,  
 line 802, in __call__
 val = ma.asarray(value).astype(np.float)
   File /usr/lib/python2.7/site-packages/numpy/ma/core.py, line  
 2908, in astype
 output = self._data.astype(newtype).view(type(self))
 MemoryError

 Please, answer on the mailing list,
 It confirms that the troubles lie in the rendering of images. Could  
 you
 tell the versions of numpy and matplotlib you are using, and the
 characteristics of the computer you are working on ?


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Re: [Matplotlib-users] specgram memory problem

2012-02-06 Thread Benjamin Root
On Mon, Feb 6, 2012 at 11:59 AM, David Craig dcdavem...@gmail.com wrote:

 I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4
 intel core CPUs @ 2.3GHz each. Available disk space is 147.9GiB.
 numpy 1.6.0
 matplotlib 1.0.1


32-bit or 64-bit OS?  Please use 'uname -a' to tell us, because you can
install a 32-bit OS on a 64-bit machine.

Ben Root
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[Matplotlib-users] (no subject)

2012-02-06 Thread Debashish Saha
what is the basic difference between the commands
import pylab as *
import matplotlib.pyplot as plt

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Re: [Matplotlib-users] (no subject)

2012-02-06 Thread Benjamin Root
On Mon, Feb 6, 2012 at 1:07 PM, Debashish Saha silid...@gmail.com wrote:

 what is the basic difference between the commands
 import pylab as *
 import matplotlib.pyplot as plt


This page should help you out.  Let us know if you have any further
questions.

http://matplotlib.sourceforge.net/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related

Ben Root
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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

2012-02-06 Thread Michael Droettboom

There is a pull request for this here:

https://github.com/matplotlib/matplotlib/pull/695

If you're able to checkout and build that branch from git, I would 
appreciate hearing if it resolves your issue.


Mike

On 02/06/2012 12:58 PM, Chris wrote:

JJ,

Thanks for the clarification.  Now I understand why EPS outputs of
pixel plot from mpl is a few times bigger than those from SuperMongo.
I guess that mpl uses the square implementation for pixel so that it
would use the same method to handle all marker types.  I will file an
issue report on git.  Meanwhile, is there any easy workaround?

Jonathan,

Tom Robitaille's module does help reducing file size of postscript,
but by rasterize a scalable plot.  It doesn't really help my problem
since the markers are still drawn with the same method as other
plotting methods.

Bests,
Chris


On Mon, Feb 6, 2012 at 4:28 AM, Jae-Joon Leelee.j.j...@gmail.com  wrote:

Thanks. Now I understand the situation.

As far as I can see, marker=, is implemented as a rectangle path
with width/height of 1 pixel, so this result in 2x2 pixel filled
square.
I tried to change the size of the rectangle, etc, to get a single
pixel filled square, but did not get a satisfactory result.
I think we need an Agg expert. I hope Mike or others take a look.

Chris,
if you do not get a response from others in this mailing list, I
recommend you to open a new issue in our github page.

Regards,

-JJ



On Mon, Feb 6, 2012 at 6:19 AM, Jonathan Slavinjsla...@cfa.harvard.edu  wrote:

Chris,

You might want to try a module written by Tom Robitaille (aka astrofrog)
called rasterized_scatter.  Look for it on github.

Jon

On Mon, 2012-02-06 at 21:28 +0900, Jae-Joon Lee wrote:

Thanks. Now I understand the situation.

As far as I can see, marker=, is implemented as a rectangle path
with width/height of 1 pixel, so this result in 2x2 pixel filled
square.
I tried to change the size of the rectangle, etc, to get a single
pixel filled square, but did not get a satisfactory result.
I think we need an Agg expert. I hope Mike or others take a look.

Chris,
if you do not get a response from others in this mailing list, I
recommend you to open a new issue in our github page.

Regards,

-JJ


On Mon, Feb 6, 2012 at 1:53 AM, Chrisplut...@gmail.com  wrote:

Thanks JJ.

The problem seems not to be a size issue --  markersize has no effect
when use marker=, (pixel).  I have also tried to turn off aa, and it
doesn't help either.  I also tried different backends.  The PNG output
from Agg and Cairo is slightly different: Agg's point has 4 solid
pixel, while Cairo's has 4 pixel with random shade.

Postscript output has the same problem.  The pixel in an EPS file
generated by mpl is significantly bigger than that from another
drawing program I used.

The problem occurs in all my plotting scripts, e.g., this basic one:

[CODE]
import numpy as np

x=np.arange(100)
y=np.random.randn(100)

ioff()
fig=gcf()
fig.clf()

ax=fig.add_axes(0.15,0.1,0.8, 0.85)
ax.plot(x,y,k,)

ion()
fig.canvas.draw()
[/CODE]

Here is how I identify the problem:
1. use the above script to plot on screen
2. savefig(plot.png)
3. open plot.png in GIMP and check the pixel size.

I also attached the two PNG files generated with Agg and Cairo backends.


On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Leelee.j.j...@gmail.com  wrote:

How are you plotting your points.

If you use *plot*, there is a *markersize* parameter.
If you use *scatter*, the third argument controls the marker size.

But you may actually complaining about other issues, e.g.,
antialiasing, etc. So, if above are not your answer, please post a
complete example and describe your problem in more detail.

Regards,

-JJ


On Sat, Feb 4, 2012 at 2:15 PM, Chrisplut...@gmail.com  wrote:

I noticed this a few years back, but left it aside because most of the
time I can live with it.  Recently I need to make a few plots
containing a few million points, and 4 pixels for a point is a
disaster.  So my question is why the pixel marker size is set at 4
pixels?  And is there anyway to change it to a single pixel?

Thanks,
Chris

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Re: [Matplotlib-users] specgram memory problem

2012-02-06 Thread David Craig
uname -a gives,
Linux David 3.2.2-1.fc16.i686 #1 SMP Thu Jan 26 03:38:31 UTC 2012 i686 i686
i386 GNU/Linux

On Mon, Feb 6, 2012 at 6:07 PM, Benjamin Root ben.r...@ou.edu wrote:



 On Mon, Feb 6, 2012 at 11:59 AM, David Craig dcdavem...@gmail.com wrote:

 I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4
 intel core CPUs @ 2.3GHz each. Available disk space is 147.9GiB.
 numpy 1.6.0
 matplotlib 1.0.1


 32-bit or 64-bit OS?  Please use 'uname -a' to tell us, because you can
 install a 32-bit OS on a 64-bit machine.

 Ben Root


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[Matplotlib-users] How matplotlib got me a job

2012-02-06 Thread Benjamin Root
Alternate title: How I finally convinced my Dad that open-source can put
food on the table. Since this entire story got started on this mailing
list, I figured it would be appropriate to end it here.

Last Friday, I signed a contract to begin working as a Senior Scientific
Programmer for a research company.  The company has recently begun making
Python the preferred language for new development and has become heavily
dependent upon NumPy, SciPy and matplotlib.  They have been doing fairly
well for a while now, but a few months ago, they ran into a problem with
matplotlib.  After spending a few weeks butting heads on it, they finally
decided to post a question about it to the matplotlib-users list.  After
reading the question and seeing the code example, I replied with a one-line
fix within half an hour of its posting and moved on.

About a week later, I got a personal email from the original poster
informing me that my solution worked perfectly.  He also noticed that I was
working in a neighboring building on campus and wondered just how much
longer my PhD was going to take and if I had any interest in going into the
private sector.  (The company happened to deal with atmospheric science and
my PhD is in meteorology).

It turned out that the company realized the value of having on-staff a
SciPy Guru (I still consider myself a beginner).  After the usual visits
and interviews, I was offered a position.  At multiple times throughout the
process, it was obvious to me that while it was good that I was an
atmospheric scientist, what was most valuable to them was my knowledge,
insight and expertise with Python and its tools.

The lesson I hope everyone here can take in is that there are many
companies out there that are using open-source tools and libraries for
their purposes.  Learning and using these tools for your own purposes not
only solves your immediate needs, but also sets you up for future
opportunities.

Therefore, I would like to thank John Hunter for making matplotlib
available for the community, and a hearty thanks to the rest of the
community for their contributions to matplotlib.  Without this, I doubt I
would have found this job opportunity, nor have the value-added skills to
have them consider hiring me.

Lastly, a reminder to everyone on this list, I hope this encourages more of
you to help each other out with answers.  You never know if the person you
help out is your future co-worker!

Cheers!
Ben Root
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Re: [Matplotlib-users] How matplotlib got me a job

2012-02-06 Thread Paul Ivanov
Benjamin Root, on 2012-02-06 13:59,  wrote:
 Alternate title: How I finally convinced my Dad that open-source can put
 food on the table. Since this entire story got started on this mailing
 list, I figured it would be appropriate to end it here.
 
 Last Friday, I signed a contract to begin working as a Senior Scientific
 Programmer for a research company.   

Congrats on the new job, Ben! Great story, I could say that it
had me Root-ing for you - but that would make you groan from
the number of times you've probably heard it before, so I'm not
gonna do that ;)

 Lastly, a reminder to everyone on this list, I hope this encourages more of
 you to help each other out with answers.  You never know if the person you
 help out is your future co-worker!

Hope this doesn't mean you'll be posting less, now :)

I want to second Ben's comments: I learned (and continue to
learn) quite a bit about matplotlib by trying to answer the
questions others have (with my trusty IPython tab-completion, and
when necessary, doing what every Python Jedi does, and use the
Source) - and by following along with the answers others provide.

best,
-- 
Paul Ivanov
314 address only used for lists,  off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

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Re: [Matplotlib-users] How matplotlib got me a job

2012-02-06 Thread C M
On Mon, Feb 6, 2012 at 2:59 PM, Benjamin Root ben.r...@ou.edu wrote:

 Alternate title: How I finally convinced my Dad that open-source can put
 food on the table. Since this entire story got started on this mailing
 list, I figured it would be appropriate to end it here.


Inspiring and uplifting story, Ben.  I'm glad you posted it.
Congratulations on your new job!  (That's also interesting that your father
even knows what open-source is).

Che
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[Matplotlib-users] rendering unicode using the PDF backend

2012-02-06 Thread Mark Janikas
Hi All,

I am having trouble rendering my Unicode strings in matplotlib using the PDF 
backend.   When I use certain fonts  (like the Win 7 default), I get no 
complaints but the characters are not rendered When I use a font like Arial 
Unicode MS, that I know contains all the chars, then I get the error message 
below.  I did in fact, find a tty file that would work with Chinese (Microsoft 
YaHei), but I would like to avoid trying to map font files to languages.  Any 
info on this subject would be greatly appreciated.  Here is a snippet that 
reproduces the error below... if you remove the fontproperties option to the 
PYLAB.xlabel() call then the error is avoided but the result is not rendered.  
Thanks so much!

MJ


import matplotlib.pyplot as PLT
import pylab as PYLAB
from matplotlib.backends.backend_pdf import PdfPages as PDF
import matplotlib.font_manager as fm

fontFile = r'C:\Windows\Fonts\ARIALUNI.TTF'
fp1 = fm.FontProperties(fname=fontFile)

reportFile = r'C:\Temp\TestUnicode.pdf'
pdfOutput = PDF(reportFile)
vals = range(100)

PLT.plot(vals, vals, color = r, linestyle = -)
mess = u'\u6B63\u5728\u8BFB\u53D6\u6570\u636E...'
PYLAB.xlabel(mess, fontproperties = fp1)
PLT.savefig(pdfOutput, format='pdf')
PLT.close()
pdfOutput.close()



Traceback (most recent call last):
  File C:\Data\CRs\10.1\MemLeak\matplotlib\Scripts\matplotlib_unicode.py, 
line 27, in module
PLT.savefig(pdfOutput, format='pdf')
  File C:\Python27\lib\site-packages\matplotlib\pyplot.py, line 472, in 
savefig
return fig.savefig(*args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\figure.py, line 1173, in 
savefig
self.canvas.print_figure(*args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\backend_bases.py, line 2027, 
in print_figure
**kwargs)
  File C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py, line 
2181, in print_pdf
self.figure.draw(renderer)
  File C:\Python27\lib\site-packages\matplotlib\artist.py, line 55, in 
draw_wrapper
draw(artist, renderer, *args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\figure.py, line 886, in draw
func(*args)
  File C:\Python27\lib\site-packages\matplotlib\artist.py, line 55, in 
draw_wrapper
draw(artist, renderer, *args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\axes.py, line 1983, in draw
a.draw(renderer)
  File C:\Python27\lib\site-packages\matplotlib\artist.py, line 55, in 
draw_wrapper
draw(artist, renderer, *args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\axis.py, line 1054, in draw
self.label.draw(renderer)
  File C:\Python27\lib\site-packages\matplotlib\artist.py, line 55, in 
draw_wrapper
draw(artist, renderer, *args, **kwargs)
  File C:\Python27\lib\site-packages\matplotlib\text.py, line 587, in draw
ismath=ismath)
  File C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py, line 
1784, in draw_text
return draw_text_woven(chunks)
  File C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py, line 
1754, in draw_text_woven
glyph_name = font.get_glyph_name(gind)
RuntimeError: Face has no glyph names










PS.  I cannot use a different backend.
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Re: [Matplotlib-users] How matplotlib got me a job

2012-02-06 Thread John Hunter
On Mon, Feb 6, 2012 at 1:59 PM, Benjamin Root ben.r...@ou.edu wrote:
 Alternate title: How I finally convinced my Dad that open-source can put
 food on the table. Since this entire story got started on this mailing
 list, I figured it would be appropriate to end it here.

Love the alternate title.  I'm sure we can all substitute
dad|mom|wife|husband|significant_other in that one.

 About a week later, I got a personal email from the original poster
 informing me that my solution worked perfectly.  He also noticed that I was
 working in a neighboring building on campus and wondered just how much
 longer my PhD was going to take and if I had any interest in going into the
 private sector.  (The company happened to deal with atmospheric science and
 my PhD is in meteorology).

I love that a tiny bit of altruism turned into a good job for you.
Recently my wife, who is a criminal defense attorney, decided to
transition from criminal law to family law, and took on a pro-bono
case of a friend who was in a tough spot (he was accused of spousal
battery by a mentally ill wife and they had several young kids in the
middle).  At a Halloween party, she met someone who worked at a family
law firm and began telling him about her case, and that led to a job
interview and soon she'll be having her third interview with the firm.
 I don't know how it will turn out, but I'm pretty sure that she
wouldn't have gotten this opportunity had she not taken on this case
pro-bono.

I grew up pretty much accepting the US ethos that 'there is no such
thing as free lunch and no one works for free.  So it came as a
great surprise to me, sometime in 1994-1995, when I posted a question
on comp.lang.awk about a script I was developing mixing sed and awk
which parsed BibTeX.  Some kind soul responded withing 12 hours, you
should really be using Perl for this, *and* wrote a non-trivial,
several hundred line piece of Perl to solve my problem.  I was
dumbstruck that someone would stay up all night solving a problem for
me, not looking for anything except perhaps for credit.  What I
learned next was that altruism is infectious.  I began diving deeply
into Perl, mastering it, and answering other people's questions on the
Perl mailing list.  At one point, I was one of the top ten posters on
the Perl mailing list -- no mean feat at the time -- mainly
obsessively answering people's questions.  Of course when I discovered
Python, I dropped Perl faster than a hot potato, but that spirit of
contributing to and benefiting from a community of people motivated
not by a payback but by contributing to and participating in something
excellent persisted.  That free help that guy gave me on comp.lang.awk
probably caused me to spend 8,000 hours over the next decade helping
other people.  I guess there is no such thing as free lunch.


 It turned out that the company realized the value of having on-staff a
 SciPy Guru (I still consider myself a beginner).  After the usual visits
 and interviews, I was offered a position.  At multiple times throughout the
 process, it was obvious to me that while it was good that I was an
 atmospheric scientist, what was most valuable to them was my knowledge,
 insight and expertise with Python and its tools.

 The lesson I hope everyone here can take in is that there are many companies
 out there that are using open-source tools and libraries for their
 purposes.  Learning and using these tools for your own purposes not only
 solves your immediate needs, but also sets you up for future opportunities.

No doubt about this one.  I have tried with mixed success on a number
of occasions to hire people for a job in quantitative finance who
possess skills in scientific python tools as well as statistics, and
it is hard to find good matches.  Whenever I meet other people like me
who are trying to hire people, they all tell the same tale: it's hard
to find talent.  So if you have these skills and would like a job,
contact me :-)

I've been astounded by the degree of uptake of the scientific python
toolset, and it is accelerating.  As more and more people use these
tools, more and more companies require them and most importantly, more
and more talented developers put their energies into them.  The amount
of productivity being poured into not only the core tools but also
pandas, scikits-learn, scikits-image, pystatsmodels and others is
awesome, and is definitely taking the tool chain to the next level.

 Therefore, I would like to thank John Hunter for making matplotlib available
 for the community, and a hearty thanks to the rest of the community for
 their contributions to matplotlib.  Without this, I doubt I would have found
 this job opportunity, nor have the value-added skills to have them
 consider hiring me.

You're welcome, but I owe you a significant thanks as well.  As my
time for significant development has dwindled, the major contributions
by you and the other developers has enabled the project to thrive.  I
hope that in your