gnuplot-py-users Mailing List for Gnuplot.py

Cygwin has its own version of Python. You appear to be confusing the
Cygwin Python with a version of Python installed on Windows.

In Windows, I prefer the the Windows version of Python and the Windows
version of Gnuplot, as they integrate better with Windows.

Is there some particular reason you prefer the cygwin versions?

Regards,
 Noel

On Fri, 2006-01-20 at 16:37 -0800, Nguyen Quang Chien wrote:
> Dear Sir or Madam,
>=20
> I have encountered an error when installing the gnuplot-py-1.7. I used
> cygwin and when performed setup, the message was as follows:
>=20
> File "/cygdrive/d/Setup
> opensource/Python-related/gnuplot-py-1.7/PlotItems.py", line 26, in ?
> import Numeric
> ImportError: No module named Numeric
>=20
> When I opened the PlotItems.py, the content was as follows:
>=20
> import os, string, tempfile, types
>=20
> try:
>     from cStringIO import StringIO
> except ImportError:
>     from StringIO import StringIO
>=20
> import Numeric
>=20
> import gp, utils, Errors
> # ... more codes
>=20
> I am sure that I have installed Numeric module, as I can call it well
> from the interactive prompt:
>=20
> PythonWin 2.4.2 (#67, Oct 30 2005, 16:11:18) [MSC v.1310 32 bit
> (Intel)] on win32.
> Portions Copyright 1994-2004 Mark Hammond (mha...@sk...)
> - see 'Help/About PythonWin' for further copyright information.
> >>> import Numeric
> >>> =20
>=20
> So could you tell me how to fix this error ? Thank you very much.
>=20
> With best regard,
> Q.C. Nguyen
>=20
>=20
>=20
> ______________________________________________________________________
> Yahoo! Photos =96 Showcase holiday pictures in hardcover
> Photo Books. You design it and we=92ll bind it!

Dear Sir or Madam,

I have encountered an error when installing the gnuplot-py-1.7. I used cygwin and when performed setup, the message was as follows:

 File "/cygdrive/d/Setup opensource/Python-related/gnuplot-py-1.7/PlotItems.py", line 26, in ?
import Numeric
ImportError: No module named Numeric
 
When I opened the PlotItems.py, the content was as follows:

import os, string, tempfile, types

try:
    from cStringIO import StringIO
except ImportError:
    from StringIO import StringIO

import Numeric

import gp, utils, Errors
# ... more codes

I am sure that I have installed Numeric module, as I can call it well from the interactive prompt:

PythonWin 2.4.2 (#67, Oct 30 2005, 16:11:18) [MSC v.1310 32 bit (Intel)] on win32.
Portions Copyright 1994-2004 Mark Hammond (mha...@sk...) - see 'Help/About PythonWin' for further copyright information.
>>> import Numeric
>>>  

So could you tell me how to fix this error ? Thank you very much.

With best regard,
Q.C. Nguyen


		
---------------------------------
Yahoo! Photos – Showcase holiday pictures in hardcover
 Photo Books. You design it and we’ll bind it!

Crider, Joseph A wrote:
> I've been looking at open source plotting packages for Python to use in
> a new internal project I'm heading up.  At a minimum, the platforms we
> want to support are Linux, Solaris, and Cygwin/X.  Now that all of the
> plotting packages are being dropped from SciPy (and gplt didn't support
> all of the features we need anyway), it appears that we will have to
> choose between Gnuplot-py and Matplotlib or roll our own.
> 
> Since Gnuplot does support all of the features we need, I believe
> Gnuplot-py would be sufficient for our needs.  However, I've got one
> small problem with version 1.7 on Cygwin/X for which I've found one
> solution, but I would like to know if anyone has come up with a better
> solution.  My first attempt to use Gnuplot-py failed miserably, but that
> appears to have been a problem with my Cygwin installation.  After
> re-installing a recent version, it is going much better.  However, I had
> to make two changes to gp_cygwin.py:  change the values of
> gnuplot_command to 'gnuplot.exe' (line 41) and default_term to 'x11'
> (line 60).  Is there a better solution so that I would not have to
> maintain these changes if a newer version of Gnuplot-py is released that
> I want to use?

Unless you are suggesting that this should be changed for all Cygwin
users, the best solution is for you to set these options before
instantiating the Gnuplot object:

>>> import Gnuplot
>>> Gnuplot.GnuplotOpts.gnuplot_command = 'gnuplot.exe'
>>> Gnuplot.GnuplotOpts.default_term = 'x11'
>>> g = Gnuplot.Gnuplot()
>>> ...

Michael

I've been looking at open source plotting packages for Python to use in
a new internal project I'm heading up.  At a minimum, the platforms we
want to support are Linux, Solaris, and Cygwin/X.  Now that all of the
plotting packages are being dropped from SciPy (and gplt didn't support
all of the features we need anyway), it appears that we will have to
choose between Gnuplot-py and Matplotlib or roll our own.

Since Gnuplot does support all of the features we need, I believe
Gnuplot-py would be sufficient for our needs.  However, I've got one
small problem with version 1.7 on Cygwin/X for which I've found one
solution, but I would like to know if anyone has come up with a better
solution.  My first attempt to use Gnuplot-py failed miserably, but that
appears to have been a problem with my Cygwin installation.  After
re-installing a recent version, it is going much better.  However, I had
to make two changes to gp_cygwin.py:  change the values of
gnuplot_command to 'gnuplot.exe' (line 41) and default_term to 'x11'
(line 60).  Is there a better solution so that I would not have to
maintain these changes if a newer version of Gnuplot-py is released that
I want to use?

J. Allen Crider

On Tue, 10 Jan 2006, Michael Haggerty apparently wrote: 
> that leaves the more difficult question of how you can 
> output time data from Gnuplot.py.  Unfortunately, there is 
> no support for time data built in.  You could output the 
> data to a file via another mechanism then plot it using 
> a Gnuplot.File object.  Or you could hack Gnuplot.py to 
> add support for time data. 

Note that Allin Cottrell has done this for gretl, which uses 
gnuplot to plot.  So look there in hopes on not having to 
reinvent the wheel.  Also, the Matplotlib date handling 
routines might be useful; they work remarkably well.

fwiw,
Alan Isaac

> I suggest that you find out how to do what you need to do using gnuplot
> and let us know.  Then we might be able to get Gnuplot.py to do the same
> thing.

  You're right, 
  I'm going to investigate it with naked gnuplot, and you'll know about.
  Thanks everybody

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Thank you very much!
It works like charm!
> 
> >>> import Gnuplot
> >>> Gnuplot.GnuplotOpts.gnuplot_command = \
> ...     "gnuplot -xrm 'gnuplot*line2Color:yellow'"
> 
> (before creating your Gnuplot.Gnuplot object).

Albert



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frank h. wrote:
> I am not sure I understand gnuplot.py completely yet
> but I havent found a way to plot a timeseries, e.g.
> 
> set xdata time
> 
> in gnuplot speak
> 
> how would one go about this with gnuplot.py?

In general, you can send any command to gnuplot by using

>>> g = Gnuplot.Gnuplot()
>>> g('set xdata time')

But that leaves the more difficult question of how you can output time
data from Gnuplot.py.  Unfortunately, there is no support for time data
built in.  You could output the data to a file via another mechanism
then plot it using a Gnuplot.File object.  Or you could hack Gnuplot.py
to add support for time data.

This has been discussed before; see for example

http://sourceforge.net/mailarchive/message.php?msg_id=2172189
http://sourceforge.net/mailarchive/message.php?msg_id=11511622
http://sourceforge.net/mailarchive/message.php?msg_id=2179048

Michael

al...@mm... wrote:
> I'm trying to change the color of a function... and I can't.
> I used to call, for example:
> gnuplot -xrm 'gnuplot*line2Color:yellow', 
> 
> but, of course I can't do this now, so
> how can I do it?
> 
> One more thing. I can't change the file .Xdefaults because I'm not the system
> administrator.
> 
> Thank you very much...
> at least there's somebody on the other side... ;)

Assuming that you are on a Unix/Linux system, it is usually the case
that the login process causes a file in your home directory to be read
and added to the X resources.  For example, on my linux setup the magic
file is called ".Xresources".

Alternatively, you can load properties into your X resources manually
using the "xrdb" command.

Finally, if you only want these properties to be set when you are using
Gnuplot.py, you could add the command-line options to the
gnuplot_command variable as follows:

>>> import Gnuplot
>>> Gnuplot.GnuplotOpts.gnuplot_command = \
...     "gnuplot -xrm 'gnuplot*line2Color:yellow'"

(before creating your Gnuplot.Gnuplot object).

Michael

al...@mm... wrote:
>>4. Try a simple example with "naked" gnuplot, rather than Gnuplot.py,
>>using temporary files to hold the data.  Does it do what you expect?
> 
>     No, it does the same... ;P

I suggest that you find out how to do what you need to do using gnuplot
and let us know.  Then we might be able to get Gnuplot.py to do the same
thing.

Michael

> al...@mm... wrote:
> > I want to use gnuplot.py to represent several "4D" surfaces in the same
> plot, so
> > I write something like:
> >
> >   data1 = [
> >     [
> >         [1,1,z1(1,1),val1(1,1)],
> >         [1,2,z1(1,2),val1(1,2)],
> >         [1,3,z1(1,3),val1(1,3)],
> >     ],
> >     [
> >         [2,1,z1(2,1),val1(2,1)],
> >         [2,2,z1(2,2),val1(2,2)],
> >         [2,3,z1(2,3),val1(2,3)],
> >     ],
> >     ...
> >     ]
> >
> >   data2 = [
> >     [
> >         [1,1,z2(1,1),val2(1,1)],
> >         [1,2,z2(1,2),val2(1,2)],
> >         [1,3,z2(1,3),val2(1,3)],
> >     ],
> >     [
> >         [2,1,z2(2,1),val2(2,1)],
> >         [2,2,z2(2,2),val2(2,2)],
> >         [2,3,z2(2,3),val2(2,3)],
> >     ],
> >     ...
> >     ],
> >
> >   ...
> >
> >   dataN = ...
> >
> >   and then, data = [Gnuplot.Data(data1, using=(1,2,3,4), inline = 1),
> >                     Gnuplot.Data(data2, using=(1,2,3,4), inline = 1),
> >                     ...
> >                     Gnuplot.Data(dataN, using=(1,2,3,4), inline = 1)]
> >
> >   So, when I go to plot:
> >     g = Gnuplot.Gnuplot(debug = 1)
> >     g.splot(*data)
> >
> >   it seems something works because you can read:
> >   gnuplot> splot '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-'
> using
> > 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle
> >   on your terminal, but only the last surface is plotted, maybe because
> the
> > (x,y) pairs are the same in data1, data2, ...
> >
> >   So, how can I solve this?
> >   My target is to see all the 3D points in different colors or something
> like
> > that... do you understand?
>
> I'm a bit out of practice.  How do you expect the four values to be
> used?  Usually splot uses (x,y,z) triplets, no?
    I expect to see surfaces by (x,y,z) coloured in function of val, i.e., if
val is high I want to see the point in yellow and if it is low in black.
    
> Otherwise I don't see why this shouldn't work.  I can't imagine that it
> would be a problem that the (x,y) pairs are the same.  Ideas:
>
> 1. If you have hidden line removal on (which is the default, I think) it
> could be that all of your surfaces are being plotted but the top surface
> is visually obscuring the other surfaces.
    How do I know it? I tried with set & unset hidden3d, but it looks like the
same...  

>
> 2. If your z values are all the same, then you would not see distinct
> surfaces.
    You're right, but they aren't the same  
  
> 3. Try the same thing without the inline=1 option.  Does that work?
> (This would imply a Gnuplot.py bug.)
    It works the same.

> 4. Try a simple example with "naked" gnuplot, rather than Gnuplot.py,
> using temporary files to hold the data.  Does it do what you expect?
    No, it does the same... ;P
 
> Michael


In fact I can see the points colored typping
 splot  "temp.plot" using 1:2:3:4 with points pointtype 7 palette
but with no surface... (temp.plot is a file with the same data)

Maybe I shoud read the entire gnuplot tutorial... but I find it really boring...
;)

thank you very much!
Albert








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Hi everybody, 
I'm trying to change the color of a function... and I can't.
I used to call, for example:
gnuplot -xrm 'gnuplot*line2Color:yellow', 

but, of course I can't do this now, so
how can I do it?

One more thing. I can't change the file .Xdefaults because I'm not the system
administrator.

Thank you very much...
at least there's somebody on the other side... ;)
Albert

-------------------------------------------------
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Hello,
I am not sure I understand gnuplot.py completely yet
but I havent found a way to plot a timeseries, e.g.

set xdata time

in gnuplot speak

how would one go about this with gnuplot.py?
thanks,
-frank

al...@mm... wrote:
> I want to use gnuplot.py to represent several "4D" surfaces in the same plot, so
> I write something like:
> 
>   data1 = [
>     [
>         [1,1,z1(1,1),val1(1,1)],
>         [1,2,z1(1,2),val1(1,2)],
>         [1,3,z1(1,3),val1(1,3)],
>     ],
>     [
>         [2,1,z1(2,1),val1(2,1)],
>         [2,2,z1(2,2),val1(2,2)],
>         [2,3,z1(2,3),val1(2,3)],
>     ],
>     ...
>     ]
> 
>   data2 = [
>     [
>         [1,1,z2(1,1),val2(1,1)],
>         [1,2,z2(1,2),val2(1,2)],
>         [1,3,z2(1,3),val2(1,3)],
>     ],
>     [
>         [2,1,z2(2,1),val2(2,1)],
>         [2,2,z2(2,2),val2(2,2)],
>         [2,3,z2(2,3),val2(2,3)],
>     ],
>     ...
>     ], 
> 
>   ...
> 
>   dataN = ...
> 
>   and then, data = [Gnuplot.Data(data1, using=(1,2,3,4), inline = 1), 
>                     Gnuplot.Data(data2, using=(1,2,3,4), inline = 1),
>                     ...
>                     Gnuplot.Data(dataN, using=(1,2,3,4), inline = 1)]
> 
>   So, when I go to plot:
>     g = Gnuplot.Gnuplot(debug = 1)
>     g.splot(*data)
> 
>   it seems something works because you can read:
>   gnuplot> splot '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using
> 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle
>   on your terminal, but only the last surface is plotted, maybe because the
> (x,y) pairs are the same in data1, data2, ...
> 
>   So, how can I solve this?
>   My target is to see all the 3D points in different colors or something like
> that... do you understand?

I'm a bit out of practice.  How do you expect the four values to be
used?  Usually splot uses (x,y,z) triplets, no?

Otherwise I don't see why this shouldn't work.  I can't imagine that it
would be a problem that the (x,y) pairs are the same.  Ideas:

1. If you have hidden line removal on (which is the default, I think) it
could be that all of your surfaces are being plotted but the top surface
is visually obscuring the other surfaces.

2. If your z values are all the same, then you would not see distinct
surfaces.

3. Try the same thing without the inline=1 option.  Does that work?
(This would imply a Gnuplot.py bug.)

4. Try a simple example with "naked" gnuplot, rather than Gnuplot.py,
using temporary files to hold the data.  Does it do what you expect?

Michael

al...@mm...

this is my email.
I want to post the following message:
 
Hi everybody,
I want to use gnuplot.py to represent several "4D" surfaces in the same plot, so
I write something like:

  data1 = [
    [
        [1,1,z1(1,1),val1(1,1)],
        [1,2,z1(1,2),val1(1,2)],
        [1,3,z1(1,3),val1(1,3)],
    ],
    [
        [2,1,z1(2,1),val1(2,1)],
        [2,2,z1(2,2),val1(2,2)],
        [2,3,z1(2,3),val1(2,3)],
    ],
    ...
    ]

  data2 = [
    [
        [1,1,z2(1,1),val2(1,1)],
        [1,2,z2(1,2),val2(1,2)],
        [1,3,z2(1,3),val2(1,3)],
    ],
    [
        [2,1,z2(2,1),val2(2,1)],
        [2,2,z2(2,2),val2(2,2)],
        [2,3,z2(2,3),val2(2,3)],
    ],
    ...
    ],

  ...
 
  dataN = ...

  and then, data = [Gnuplot.Data(data1, using=(1,2,3,4), inline = 1),
                    Gnuplot.Data(data2, using=(1,2,3,4), inline = 1),
                    ...
                    Gnuplot.Data(dataN, using=(1,2,3,4), inline = 1)]

  So, when I go to plot:
    g = Gnuplot.Gnuplot(debug = 1)
    g.splot(*data)

  it seems something works because you can read:
  gnuplot> splot '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using
1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle
  on your terminal, but only the last surface is plotted, maybe because the
(x,y) pairs are the same in data1, data2, ...

  So, how can I solve this?
  My target is to see all the 3D points in different colors or something like
that... do you understand?

  Many thanks in advance,
  and have happy new year!
  Albert

  P.S.-the same happens if I type
     apply(g.splot, data)
     instead of g.splot(*data)



I sent it before, so I don't know if you need it again,
Many thanks, 
Albert

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Hi everybody,
I want to use gnuplot.py to represent several "4D" surfaces in the same plot, so
I write something like:

  data1 = [
    [
        [1,1,z1(1,1),val1(1,1)],
        [1,2,z1(1,2),val1(1,2)],
        [1,3,z1(1,3),val1(1,3)],
    ],
    [
        [2,1,z1(2,1),val1(2,1)],
        [2,2,z1(2,2),val1(2,2)],
        [2,3,z1(2,3),val1(2,3)],
    ],
    ...
    ]

  data2 = [
    [
        [1,1,z2(1,1),val2(1,1)],
        [1,2,z2(1,2),val2(1,2)],
        [1,3,z2(1,3),val2(1,3)],
    ],
    [
        [2,1,z2(2,1),val2(2,1)],
        [2,2,z2(2,2),val2(2,2)],
        [2,3,z2(2,3),val2(2,3)],
    ],
    ...
    ], 

  ...

  dataN = ...

  and then, data = [Gnuplot.Data(data1, using=(1,2,3,4), inline = 1), 
                    Gnuplot.Data(data2, using=(1,2,3,4), inline = 1),
                    ...
                    Gnuplot.Data(dataN, using=(1,2,3,4), inline = 1)]

  So, when I go to plot:
    g = Gnuplot.Gnuplot(debug = 1)
    g.splot(*data)

  it seems something works because you can read:
  gnuplot> splot '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using
1:2:3:4 notitle, '-' using 1:2:3:4 notitle, '-' using 1:2:3:4 notitle
  on your terminal, but only the last surface is plotted, maybe because the
(x,y) pairs are the same in data1, data2, ...

  So, how can I solve this?
  My target is to see all the 3D points in different colors or something like
that... do you understand?

  Many thanks in advance, 
  and have happy new year!
  Albert

  P.S.-the same happens if I type 
     apply(g.splot, data) 
     instead of g.splot(*data)
    

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