matplotlib-users Mailing List for matplotlib

On Mon, Aug 30, 2010 at 4:36 PM, Jeremy Conlin <jlc...@gm...> wrote:

> I have a matplotlib plot that I saved to a pdf image.  The plot
> consists of 1E5 dots plotted with varying colors and opacities.
> Actually 1E5 black dots with varying opacities and 64 colored markers.
>  The trouble is my image is 11 MB and takes a few seconds to fully
> display in a PDF reader.  I am using this figure in a presentation and
> therefore need to reduce the file size so it will display more
> quickly.  Is there any way I can reduce the size of my image while
> still keeping all the data?
>
> Thanks,
> Jeremy
>
>
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There a few pdf related parameters in the matplotlibrc file (e.g.
resolution, compression). You could play around with them to see if you can
get any lower-size output.

-- 
Gökhan

If it is only one image, an easy low-tech workaround is to save it as
PNG and then put it into a PDF. This way, you only have to load one
element.

On Mon, Aug 30, 2010 at 11:36 PM, Jeremy Conlin <jlc...@gm...> wrote:
> I have a matplotlib plot that I saved to a pdf image.  The plot
> consists of 1E5 dots plotted with varying colors and opacities.
> Actually 1E5 black dots with varying opacities and 64 colored markers.
>  The trouble is my image is 11 MB and takes a few seconds to fully
> display in a PDF reader.  I am using this figure in a presentation and
> therefore need to reduce the file size so it will display more
> quickly.  Is there any way I can reduce the size of my image while
> still keeping all the data?
>
> Thanks,
> Jeremy
>
> ------------------------------------------------------------------------------
> This SF.net Dev2Dev email is sponsored by:
>
> Show off your parallel programming skills.
> Enter the Intel(R) Threading Challenge 2010.
> http://p.sf.net/sfu/intel-thread-sfd
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I have a matplotlib plot that I saved to a pdf image.  The plot
consists of 1E5 dots plotted with varying colors and opacities.
Actually 1E5 black dots with varying opacities and 64 colored markers.
 The trouble is my image is 11 MB and takes a few seconds to fully
display in a PDF reader.  I am using this figure in a presentation and
therefore need to reduce the file size so it will display more
quickly.  Is there any way I can reduce the size of my image while
still keeping all the data?

Thanks,
Jeremy

I don't think there is a release numpy that is compatible with Python 
2.7 (though it is due shortly in the form of numpy 1.5) and matplotlib 
requires numpy.

-- Russell

In article 
<AANLkTikNi4k5qkRzt=0AM...@ma...>,
 Åke Kullenberg 
 <ake...@gm...> wrote:

> I've seen some posts asking for the same thing, but there's been quite some
> time now. Does anyone know the progress? Should I wait, or just downgrade to
> 2.6 for now?
> 
> Thanks
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I

setupext.py contains the code:

    if gotit:
        print_status("Tkinter", "Tkinter: %s, Tk: %s, Tcl: %s" %
                     (Tkinter.__version__, Tkinter.TkVersion, Tkinter.TclVersion))

Because I built from source, the Tkinter.__version__ value is
'$Revision$'.  It seems poor practice to assume specific formatting
of this field.

Also, I built my copy of Python using "ccache gcc" as the compiler.
The matplotlib build gets confused by this and tries to link with:

    c++ gcc -pthread -shared build/temp.linux-x86_64-2.7/src/ft2font.o ...

I suspect somewhere that the "ccache" part is split off and "c++"
added.

Regards,

  Neil

On Mon, Aug 30, 2010 at 4:44 AM, xyz <mi...@op...> wrote:
> On 30/08/10 03:51, Benjamin Root wrote:
>> maxy = max(max(y1), max(y2))
>> maxx = max(x)
>>
>> ax.set_xlim((0.0, maxx))
>> ax.set_ylim((0.0, maxy))
> Thank you, but unfortunately I have still the same problems:
> * plt.text appears outside x and y coordinates
> * and the coordinates starts not from 0
>
> with the updated code:
> from pylab import *
> import matplotlib.pyplot as plt
>
> x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
> 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
> y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32,
> 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
> y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10,
> 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
> point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
> 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
> 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
> 'A=1']
> point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
> 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
> 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
> 'B=1']
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> ax.set_title('The red point should be on the path')
>
> plt.plot(x, y1, 'bo', x, y2, 'go')
> ax.grid(True)
> maxy = max(max(y1), max(y2))
> maxx = max(x)
>
> ax.set_xlim((0.0, maxx))
> ax.set_ylim((0.0, maxy))
>
> fig.autofmt_xdate()
>
> plt.xticks(range(0, 40, 1))
>
> plt.yticks(range(0, 40, 1))
> plt.xlabel('Longitude')
> plt.ylabel('Latitude')
> plt.legend(('Model length', 'Data length'),
>            'best', shadow=True, fancybox=True)
>
> for i, label in enumerate(y1):
>   plt.text (x[i], y1[i]+0.2, label,
>             horizontalalignment='center' )
>
> for i, label in enumerate(y2):
>   plt.text (x[i], y2[i]+0.2, label,
>             horizontalalignment='center' )
>
>
> ax.autoscale_view()
> plt.savefig('test.png')
> plt.show()
>
> What did I wrong?

Like Eric said, the call to ax.autoscale_view() overrides the limits
you set by hand. Remove this line.

Ryan

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

I've seen some posts asking for the same thing, but there's been quite some
time now. Does anyone know the progress? Should I wait, or just downgrade to
2.6 for now?

Thanks

On 30/08/10 03:51, Benjamin Root wrote:
> maxy = max(max(y1), max(y2))
> maxx = max(x)
>
> ax.set_xlim((0.0, maxx))
> ax.set_ylim((0.0, maxy))
Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y coordinates
* and the coordinates starts not from 0

with the updated code:
from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
            'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
   plt.text (x[i], y1[i]+0.2, label,
             horizontalalignment='center' )

for i, label in enumerate(y2):
   plt.text (x[i], y2[i]+0.2, label,
             horizontalalignment='center' )


ax.autoscale_view()
plt.savefig('test.png')
plt.show()

What did I wrong?