gnuplot-py-users — A mailing list for the users of Gnuplot.py.

[Gnuplot-py-users] Plotting time formats in gnuplot-py - Question on status

[Thomas P. <tho...@lu...>]

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Hash: SHA1
 
Hello everyone,

I'm not yet a subscriber to this list, so please send at least a CC of
your answers to me personally.

I have basically the same question as Geoff Low had in his post '
Plotting time formats in gnuplot-py
<http://sourceforge.net/mailarchive/message.php?msg_id=10079214> ' on
2004-11-18 01:45
I used gnuplot.py quite extensively a couple of years ago and I really
loved it, except for the problem that the gnuplot process needed the
'using' keyword when plotting time-series data. As the PlotItems of
that time didn't allow setting the using-keyword I was forced to work
with temporary files which takes away much of the speed and comfort of
having python controlling gnuplot.

Recently I'm again doing more visualization of time-series and I have
tried to utilize gnuplot's rather limited batch-file capabilities
using nested 'call's to achieve my goals. But that still means a lot
of duplication of code, which I would like to avoid.
I have also tried IDL, but I found that gnuplot's defaults make up
much better images and the cusomization is much easier with gnuplot
even though IDL is basically more powerful if you have enough time to
tweak it the way you want (and this is what I don't have, as usual :-) ).

So my question is, if there is any way to trick the gnuplot process
into using python-arrays that contain time-series information without
resorting to temporary files? I would be back to gnuplot and python in
no time :-)

Best regards,



Thomas

- --
_______________________________________________________

Dipl.-Ing Thomas Pfaff, M.Eng.

Dr.-Ing. Karl Ludwig
Beratender Ingenieur
Wasserwirtschaft - Wasserbau
Herrenstr. 14
76133 Karlsruhe

Tel: 0721 / 91251-46
Fax: 0721 / 91251-19

tho...@lu...
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[Gnuplot-py-users] help me with these problems so that I can go on with my work, please!

[Edurne D. <ed...@ke...>]

Hello, I have some troubles with Gnuplot. I'm working with python gnuplot.py 
module. I don't know why an error message appears in my screen when trying to 
draw a plot. This is the message:

 Traceback (most recent call last):
  File "<stdin>", line 1, in ?
  File "graficas.py", line 55
    Gnuplot.plot 'fichero0' with linespoints, 'fichero1' with linespoints
                          ^
SyntaxError: invalid syntax

How must the be the name of the file so that I can call it without problems?? 
when I create these files with python I don't give them any extension since 
it seems not to be necessary. 

I would be also pleased if you could help me with another question: can I 
change names to every point in the axis?? I mean... I want to represent dates 
in the Xaxis. To do so I have previously converted those dates to seconds 
with python since I know the file must contain just numbers. But once I have 
created the files I don't want to see the X axis divided into numbers, but 
into dates, so can I change the names of the divisions of the axis? And in 
case it must be divided into many points.... can I make my graph to move 
horizontally with the help of any kind of bar?is there any way to create it?

Thank you very very much for your help!!
Edurne from Spain.

[Gnuplot-py-users] set window size and position on windows?

[sven <sv...@su...>]

hi,
i'm using gnuplot to plot waveforms and sonograms under windows.
as i'm having up to 10 plotwindows on the screen it would be nice
to have the possibility to set the positions and sizes of the windows
from py. is it possible and if so, how?

sven.

[Gnuplot-py-users] using gnuplot.py with numarray

[Karl E. <um...@cc...>]

In order to allow the use of numarray instead of Numeric for gnuplot I 
suggest  changing  all  the

import Numeric

lines to:
try:
    import Numeric
except:
    try:
        import numarray
        Numeric=numarray
    except:
        raise

Which seems to work...

Re: [Gnuplot-py-users] Problem with plotting different linestyles

[Juho S. <juh...@as...>]

Hi, 

When I need to plot both lines and points (data and fitted model)
I use something like this:

plt1 = Gnuplot.Gnuplot()
plt1.plot(Gnuplot.Data(MJD,most_flux,most_err,with='yerrorbars 1'))
plt1.replot(Gnuplot.Data(MJD,flux_fit,with='lines 1'))



--

   Juho Schultz

   e-mail: juh...@as...
   www.astro.helsinki.fi/~jschultz
   Observatory
   P.O. Box 14
   FIN-00014 University of Helsinki
   FINLAND

On Mon, 7 Feb 2005, Jette Krause wrote:

>Hallo,
>
>I need to plot some curves and a data point into one diagram. I can't 
>find out how to tell Gnuplot to use different linestyles for different 
>items ("lines" for the curves and "points" for data) when plotting from 
>a python script.
>
>E.g., if I write
>
>g=Gnuplot.Gnuplot()
>g('set data style lines'),
>
>the plotting command for the point is not executed (naturally...).
>But is there a way to give a data style different from the general on, 
>e.g in the plotting command?
>
>I tried things like
>g.plot(a,b,c,k with points)
>where a to c are the curves and k should be the point, but it does not work.
>
>I would be grateful for any help.
>
>Greetings, Jette
>
>
>
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Re: [Gnuplot-py-users] Problem with plotting different linestyles

[Fernando P. <Fer...@co...>]

Jette Krause wrote:
> Hallo,
> 
> I need to plot some curves and a data point into one diagram. I can't 
> find out how to tell Gnuplot to use different linestyles for different 
> items ("lines" for the curves and "points" for data) when plotting from 
> a python script.
> 
> E.g., if I write
> 
> g=Gnuplot.Gnuplot()
> g('set data style lines'),
> 
> the plotting command for the point is not executed (naturally...).
> But is there a way to give a data style different from the general on, 
> e.g in the plotting command?
> 
> I tried things like
> g.plot(a,b,c,k with points)
> where a to c are the curves and k should be the point, but it does not work.
> 
> I would be grateful for any help.

I've moved away from gnuplot to matplotlib, but here's some old code which can 
get you going:

if 0:
      #transcript = utils.TranscriptPrint('transcript_%s.ref' %
max_band,start=True)
      print "*** OLDEST (REFERENCE) NATURAL-SCALE IMPLEMENTATION"
      all_r = {}
      lft_r = {}
      #phinsc   = poisson._call_nsc_ref(rho,truncate,verbose,all_r,lft_r)
      phinsc   = poisson._call_nsc_ref(rho,truncate,verbose)
      x,pnx    = eval_diag(phinsc)
      nscref   = GP.Data(x,pnx,title='Ref Nat-scale',with='linespoints lt 4')
      errornscr= GP.Data(x,abs(pxx-pnx),title='Slow (ref) Nat-scale error',
                         with='lines lt 4')
      gp.replot(errornscr)
      #transcript.Stop()

if 0:
      # Compare two implementations, which should agree to within roundoff
      gp.plot(x,N.absolute(pnx-px))
      gp.replot(GP.Func('1e-16',with='lines lt 2'))

if 0:
      print "*** REFERENCE 2-SCALE IMPLEMENTATION"
      phi2sc   = poisson._call_2sc(rho)
      x,p2x    = eval_diag(phi2sc)
      twosc    = GP.Data(x,p2x,title='2-scale',with='linespoints lt 5')
      error2sc = GP.Data(x,abs(pxx-p2x),title='Two-scale error',
                         with='lines lt 5')

Cheers,

f

[Gnuplot-py-users] Problem with plotting different linestyles

[Jette K. <jet...@pi...>]

Hallo,

I need to plot some curves and a data point into one diagram. I can't 
find out how to tell Gnuplot to use different linestyles for different 
items ("lines" for the curves and "points" for data) when plotting from 
a python script.

E.g., if I write

g=Gnuplot.Gnuplot()
g('set data style lines'),

the plotting command for the point is not executed (naturally...).
But is there a way to give a data style different from the general on, 
e.g in the plotting command?

I tried things like
g.plot(a,b,c,k with points)
where a to c are the curves and k should be the point, but it does not work.

I would be grateful for any help.

Greetings, Jette

[Gnuplot-py-users] Running gnuplot from f3

[Lozza H. <loz...@ho...>]

Hey all!
First time user here having problems trying to get the module to install.  
I'm running F3 and I'm actually having problems trying to get Numeric to 
install.  My problem is that no one seems to be able to tell me what modules 
I need to install Numeric in the first place, apparently it can't find a 
bunch of files it needs.
Hoping someone here had been through the same stuff and could help me out.

Saludos,
Lozza

[Gnuplot-py-users] Plotting time formats in gnuplot-py

[Geoff L. <gl...@cm...>]

Hi

Has anyone got plotting of time data working properly?  I am trying to
plot the following:
	toplot = [(time.mktime(x.DateGenerated), x.MemoryPercUsed,
x.SwapPercUsed) for x in self.Resources]
	g = Gnuplot.Gnuplot()
	g.title('Resource Usage for carbon')
	g.xlabel('Date')
	g.ylabel('Resource Used')
	# g('set timefmt "%s"')
	# g('set xdata time')
	g('set data style linespoints')
        g.plot(toplot)

and get

gnuplot> plot '/tmp/tmp-8L_Ak' notitle
                                      ^
         line 0: Need full using spec for x time data
if the lines are uncommented.

If anyone has some suggestions that would be excellent.

Thanks
Geoff

Re: [Gnuplot-py-users] help with splot & 3d data

[kevin p. <ke...@ma...>]

Michael Haggery,

Thanks for taking the time to respond. This is a very elegant and 
instructive. I like the way that you
set the styles in the styles dictionary. I would not have thought to do 
that. I wasn't aware that  the data
for Gnuplot.py, could also go into a separate file. That certainly 
makes for less cluttered code.

I have be playing and tweeking the code you sent and tried 'steps' and 
linesplots and changing the
grid. Everything works, but i wonder if there is not some more elegant 
way to represent this
data. I am wondering if there is a way to not only use plot, but splot?
Having x be the time (column 1), y be the value from column 2 and have 
z be the last value (column 4) and
then having the linespoints being not only a different style but spread 
out on the z axis to
boot. Perhaps that would be more salient?

Problem is, when i try to change:

items = [
    Gnuplot.Data(
        subsets[value],
        with=styles[value],
        using=(1,3,),
        )
    for value in values
    ]

g.plot(*items)

to use splot the whole thing barfs..... and i can't quite get my head 
around the splot entry in the
manual. I wonder if you could suggest an splot approach that is more 
visually clear.

It seems that splot is quite a different beast. In any case thanks for 
you instructions thus far. That is helpful handiwork
in that script, a real pea-shooter!

cheers,

kevin






On Nov 5, 2004, at 9:31 PM, Michael Haggerty wrote:

> kevin parks wrote:
>
>> I have data that looks like:
>>
>> 0 5.5 0 1
>> 2 5.5 2 4
>> 4 5.5 4 2
>> 6 5.5 5 3
>> 8 5.5 7 1
>> 10 5.5 9 4
>> 12 5.5 11 3
>> 14 5.5 0 2
>> 16 5.5 2 1
>> 18 5.5 4 4
>> 20 5.5 5 3
>
>
> It's easiest if you put your data into a file in the above format, 
> rather than typing it into Python as a list constant.
>
>> [...] I would like to use splot and points of different colors to 
>> convey as much info as i can. The X axis would be the time axis (that 
>> would take care of the first two parameters) and the Y axis could be 
>> the third column. Then for the fouth item, there are only four 
>> possibilities (1, 2, 3, or 4), so i thought that i could use points 
>> of red, blue, green, black to indicate that.
>
>
> I don't believe gnuplot offers a way to vary the style of points 
> depending on a data column, so I believe you should read the data into 
> Python, then use Python to pick it apart into four separate data sets, 
> then plot the four sets in one plot using four different data styles.  
> I believe the following script should do the trick.  It uses some 
> newer python features (2.2?) so parts might have to be changed if you 
> are using an older version of python.  Run it with the name of your 
> data file as command-line argument.
>
> |#! /usr/bin/env python
>
> import sys
> import Numeric
> import Gnuplot
>
> [filename] = sys.argv[1:]
>
> data = []
>
> for l in open(filename).readlines():
>    l = l.strip().split()
>    data.append([float(l[0]), float(l[1]), float(l[2]), int(l[3])])
>
> values = [1,2,3,4]
>
> # Here you can adjust the style options for each subset.  The
> # interpretation of the numbers depends on what "terminal" you are
> # using.
> styles = {
>    1 : 'points pt 1',
>    2 : 'points pt 2',
>    3 : 'points pt 3',
>    4 : 'points pt 4',
>    }
>
> subsets = {}
> for value in values:
>    subsets[value] = [l for l in data if l[3] == value]
>
> g = Gnuplot.Gnuplot()
> items = [
>    Gnuplot.Data(
>        subsets[value],
>        with=styles[value],
>        using=(1,3,),
>        )
>    for value in values
>    ]
>
> g.plot(*items)
>
> raw_input('Press enter to continue')
>
>
> Yours,
> Michael
> |
>
> -- 
> Michael Haggerty
> mh...@al...
>
>
>
> -------------------------------------------------------
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Re: [Gnuplot-py-users] help with splot & 3d data

[Michael H. <mh...@ka...>]

kevin parks wrote:

> I have data that looks like:
>
> 0 5.5 0 1
> 2 5.5 2 4
> 4 5.5 4 2
> 6 5.5 5 3
> 8 5.5 7 1
> 10 5.5 9 4
> 12 5.5 11 3
> 14 5.5 0 2
> 16 5.5 2 1
> 18 5.5 4 4
> 20 5.5 5 3


It's easiest if you put your data into a file in the above format, 
rather than typing it into Python as a list constant.

> [...] I would like to use splot and points of different colors to 
> convey as much info as i can. The X axis would be the time axis (that 
> would take care of the first two parameters) and the Y axis could be 
> the third column. Then for the fouth item, there are only four 
> possibilities (1, 2, 3, or 4), so i thought that i could use points of 
> red, blue, green, black to indicate that.


I don't believe gnuplot offers a way to vary the style of points 
depending on a data column, so I believe you should read the data into 
Python, then use Python to pick it apart into four separate data sets, 
then plot the four sets in one plot using four different data styles.  I 
believe the following script should do the trick.  It uses some newer 
python features (2.2?) so parts might have to be changed if you are 
using an older version of python.  Run it with the name of your data 
file as command-line argument.

|#! /usr/bin/env python

import sys
import Numeric
import Gnuplot

[filename] = sys.argv[1:]

data = []

for l in open(filename).readlines():
    l = l.strip().split()
    data.append([float(l[0]), float(l[1]), float(l[2]), int(l[3])])

values = [1,2,3,4]

# Here you can adjust the style options for each subset.  The
# interpretation of the numbers depends on what "terminal" you are
# using.
styles = {
    1 : 'points pt 1',
    2 : 'points pt 2',
    3 : 'points pt 3',
    4 : 'points pt 4',
    }

subsets = {}
for value in values:
    subsets[value] = [l for l in data if l[3] == value]

g = Gnuplot.Gnuplot()
items = [
    Gnuplot.Data(
        subsets[value],
        with=styles[value],
        using=(1,3,),
        )
    for value in values
    ]

g.plot(*items)

raw_input('Press enter to continue')


Yours,
Michael
|

-- 
Michael Haggerty
mh...@al...

[Gnuplot-py-users] help with splot & 3d data

[kevin p. <ke...@ma...>]

i have some data that would like to plot with Gnuplot-py and need to 
get a little fancier than i am used to.

I have data that looks like:

0 5.5 0 1
2 5.5 2 4
4 5.5 4 2
6 5.5 5 3
8 5.5 7 1
10 5.5 9 4
12 5.5 11 3
14 5.5 0 2
16 5.5 2 1
18 5.5 4 4
20 5.5 5 3


The first number is the start time of the event. The second is the 
duration. The third is the event identifier and the last is what stream 
it belongs to. I would like to use splot and points of different colors 
to convey as much info as i can. The X axis would be the time axis 
(that would take care of the first two parameters) and the Y axis could 
be the third column. Then for the fouth item, there are only four 
possibilities (1, 2, 3, or 4), so i thought that i could use points of 
red, blue, green, black to indicate that.

So that is where i am headed... But i have a long way to go and am a 
gnuplot novice and not a great Python hacker to boot.. Could anyone 
help me along?

I would be grateful for any help.

Cheers,

kevin



Here is some (*gasp*) code.


------------ [snip] ----------------

#! /usr/bin/env python

from Numeric import *
import Gnuplot, Gnuplot.funcutils

def main():

     all = [ [ 0, 5.5, 0, 1 ], [ 2, 5.5, 2, 4 ], [ 4, 5.5, 4, 2 ], [ 6, 
5.5, 5, 3 ], [ 8, 5.5, 7, 1 ], [ 10, 5.5, 9, 4 ], [ 12, 5.5, 11, 3 ], [ 
14, 5.5, 0, 2 ], [ 16, 5.5, 2, 1 ], [ 18, 5.5, 4, 4 ], [ 20, 5.5, 5, 3 
], [ 22, 5.5, 7, 2 ], [ 24, 5.5, 9, 1 ], [ 26, 5.5, 11, 4 ], [ 28, 5.5, 
0, 3 ], [ 30, 5.5, 2, 2 ], [ 32, 5.5, 4, 1 ], [ 34, 5.5, 5, 3 ], [ 36, 
5.5, 7, 4 ], [ 38, 5.5, 9, 2 ], [ 40, 5.5, 11, 3 ], [ 42, 5.5, 0, 4 ], 
[ 44, 5.5, 2, 1 ], [ 46, 5.5, 4, 2 ], [ 48, 5.5, 5, 4 ], [ 50, 5.5, 7, 
3 ], [ 52, 5.5, 9, 1 ], [ 54, 5.5, 11, 2 ], [ 56, 5.5, 0, 4 ], [ 58, 
5.5, 2, 1 ], [ 60, 5.5, 4, 3 ], [ 62, 5.5, 5, 2 ], [ 64, 5.5, 7, 4 ], [ 
66, 5.5, 9, 3 ], [ 68, 5.5, 9, 1 ], [ 70, 5.5, 0, 2 ], [ 72, 5.5, 2, 4 
], [ 74, 5.5, 4, 1 ], [ 76, 5.5, 5, 2 ], [ 78, 5.5, 7, 3 ], [ 80, 5.5, 
9, 4 ], [ 82, 11.5, 11, 2 ], [ 84, 5.5, 0, 1 ], [ 86, 5.5, 2, 3 ], [ 
88, 7.5, 4, 4 ], [ 90, 11.5, 5, 1 ], [ 92, 5.5, 7, 3 ], [ 94, 3.5, 9, 2 
], [ 96, 7.5, 11, 4 ], [ 98, 7.5, 0, 2 ], [ 100, 11.5, 2, 3 ], [ 102, 
5.5, 4, 1 ], [ 104, 7.5, 5, 4 ], [ 106, 11.5, 7, 2 ], [ 108, 5.5, 9, 1 
], [ 110, 5.5, 11, 3 ], [ 112, 8.5, 0, 4 ], [ 114, 5.5, 2, 1 ], [ 116, 
5.5, 4, 3 ], [ 118, 5.5, 5, 2 ], [ 120, 9.5, 7, 1 ], [ 122, 3.5, 9, 4 
], [ 124, 3.5, 11, 2 ], [ 126, 5.5, 0, 3 ], [ 128, 5.5, 2, 2 ], [ 130, 
5.5, 4, 1 ], [ 132, 5.5, 5, 3 ], [ 134, 10, 7, 2 ], [ 136, 8, 9, 4 ], [ 
138, 6, 11, 1 ], [ 140, 4, 0, 3 ] ]
     g = Gnuplot.Gnuplot(debug=1)
     g.title('REALLY COOL GRAPH') # (optional)
     g.xlabel('Start Time')
     g.ylabel('Duration')
     g('set data style linespoints') # give gnuplot an arbitrary command
     # Plot a list of (x, y) pairs (tuples or a Numeric array would
     # also be OK):
     #g.plot([[0,1.1], [1,5.8], [2,3.3], [3,4.2]])
     g.plot(all)
     raw_input('Please press return to continue...\n')
     g.reset()
# -- ---------------
     print '############### test splot 
##################################'
     #g.splot(Gnuplot.Data(all, with='linesp', inline=1,))
     g.splot(Gnuplot.Data(all, using=(1,), with='points', inline=1,))
#g.plot(Gnuplot.Data(d, with='lp 4 4'))
#g.plot(Gnuplot.Data(d, cols=(0,1), inline=0),
#Gnuplot.Data(d, cols=(0,2), inline=0))
#g.plot(Gnuplot.Data(d, cols=(0,1), inline=1),
#Gnuplot.Data(d, cols=(0,2), inline=1))

     #g.splot(Gnuplot.Data(all, with='linesp', inline=1))


# when executed, just run main

if __name__ == '__main__':
     main()


------------ [snip] ----------------

[Gnuplot-py-users] Re: Terminal Options?

[Tom K. <to...@ko...>]

My error. It's clearly not your problem. I appreciate the debug=1 flag 
reminder. It certainly showed me that the gnuplot-py module was feeding 
everything to gnuplot appropriately.

So, for the record, if this is the specification:

> set terminal aqua {<n>} {title "<wintitle>"} {size <x> <y>} {fname
> "<fontface>"} {fsize <fontsize>}

Then this is incorrect:

> plotobj('set terminal aqua size 800 450 fname "ComputerModern" fsize 
> 16')

And this is correct:

plotobj('set terminal aqua 0 title "MyPlot" size 800 450 fname 
"ComputerModern" fsize 16')

Simple. Sorry.

Tom

Re: [Gnuplot-py-users] Terminal Options?

[Michael H. <mh...@ka...>]

Tom Kornack wrote:

> Is there any access to terminal options? I'm using Mac OS X, so I'd 
> like to be able to modify the aqua window size, fonts, etc:
>
> set terminal aqua {<n>} {title "<wintitle>"} {size <x> <y>} {fname 
> "<fontface>"} {fsize <fontsize>}
>
> Whenever I try to issue:
>
> plotobj = Gnuplot.Gnuplot()
> plotobj('set terminal aqua size 800 450 fname "ComputerModern" fsize 16')
>
> and plot something it doesn't seem to take. Where should I look?


Hmmm, that's strange.  I don't know why that wouldn't work.

There is one peculiarity with respect to terminals: after a call to 
plotobj.hardcopy(), the terminal set has to be set back to the 
"non-printer" terminal.  In practice it does this by setting it back to 
GnuplotOpts.default_term, which for Mac OS X is set in gp_maxosx.py to 
be 'aqua'.  But if you haven't done a hardcopy() this shouldn't affect you.

As with many other problems with Gnuplot.py, try setting the debug option:

    plotobj = Gnuplot.Gnuplot(debug=1)

This will print out each of the commands being sent to the gnuplot 
program and should help you figure out where the problem lies.

Michael

-- 
Michael Haggerty
mh...@al...

[Gnuplot-py-users] Terminal Options?

[Tom K. <to...@ko...>]

Is there any access to terminal options? I'm using Mac OS X, so I'd 
like to be able to modify the aqua window size, fonts, etc:

set terminal aqua {<n>} {title "<wintitle>"} {size <x> <y>} {fname 
"<fontface>"} {fsize <fontsize>}

Whenever I try to issue:

plotobj = Gnuplot.Gnuplot()
plotobj('set terminal aqua size 800 450 fname "ComputerModern" fsize 
16')

and plot something it doesn't seem to take. Where should I look?

Tom

Re: [Gnuplot-py-users] Gnuplot Problem

[Leonardo M. <lm...@ud...>]

On Thursday 30 September 2004 10:39, Dee Wortman wrote:
> 
> Thanks Leo,
> 
> That's what I think is happening as well, but as you know, with gnuplot no way to prove it.  I guess it is time to experience the world of Python and gnuplot-py.
> 
> Thanks again,
> Dee

My pleasure :-)

IMHO if you need a jump start, you may wanna:

1) Install Python + Numeric extension
2) Install gnuplot-py
3) Run and play with the test/sample code in Gnuplot-py.
4) quick read to the python tutorial 
5) http://docs.python.org/tut/tut.html
6) get familiar with the docs, http://www.python.org/doc/
   I always end up browsing the modules index: 
   http://docs.python.org/modindex.html
   You'll need at least
   http://docs.python.org/lib/module-os.html
   http://docs.python.org/lib/module-os.path.html

One afternoon and plenty of coffee/green tea should do, really!

Gotta go, best!
-- leo


> 
> > I was thinking about using gnuplot-py to try to take of a problem I am having with gnuplot itself.  I have a gnuplot script that runs  in a endless 6 second loop (on purpose) that reads a data file that is updated with new data every 4 seconds.  Eventually though, it will abort with the following message:
> >
> >
> > gnuplot> plot 'gnuplot.txt' index 0 using 1:2 with points 09,      
> >               'gnuplot.txt' index 1 using 1:2 with points 04,
> >               'gnuplot.txt' index 2 using 1:2 with points 03,
> >               'deviation_upper.txt' thru (( $1 * $2)/(-10.*55.1))**2        with  lines 12,      
> >               'deviation_lower.txt' thru ((($1 * $2)/(-10. *55.1))**2)* -1 with  lines 12 ,      
> >                U_CPS2 with lines 11 , L_CPS2 with lines 11
> >                                                             ^
> >          "/emsdat/santee/scripts/gplot/cps.pl", line 25395: no data point found in specified file
> >
> > Attached is the script and I would appreciate any suggestions on how to make it work before I dive into Python.  If anyone thinks gnuplot-py can fix the problem I would be most thankful for some help in getting started.
> 
> maybe gnuplot, everyonce in a while, trys to read  a data file while it
> is being updated ? If the period of data update and data reading from
> gnuplot are 6 and 4 seqs, chances are they'll meet at 12, 24, 36 sec. (assuming
> they start at the same time)
> 
> The advantage I would see on using gnuplot-py is that. within a python
> script, you can check for existance/sanity of the data files before
> feeding the gnuplot. So, you could, within the loop:
> 
> start endless loop:
>   * import data files data into python arrays if files exist   
>   * check that the data is actually there, check types, value ranges, etc.
>   * plot
>   * wait some time
>  
> Hope this helps,
> Leo
>    
> 
> 
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> 
> 
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> This message is intended exclusively for the individual or entity to which it is addressed. This communication may contain information that is proprietary, privileged, confidential or otherwise legally exempt from disclosure. If you are not the named addressee, you are not authorized to read, print, retain, copy or disseminate this message or any part of it. If you have received this message in error, please notify the sender immediately either by phone or reply to this e-mail, and delete all copies of this message.

Re: [Gnuplot-py-users] Gnuplot Problem

[Dee W. <DAW...@sa...>]

Thanks Leo,
=0D
That's what I think is happening as well, but as you know, with gnuplot no=
 way to prove it.  I guess it is time to experience the world of Python and=
 gnuplot-py.
=0D
Thanks again,
Dee

>>> lm...@ud... 09/30/04 10:00AM >>>
Hi Dee:

> I was thinking about using gnuplot-py to try to take of a problem I am=
 having with gnuplot itself.  I have a gnuplot script that runs  in a=
 endless 6 second loop (on purpose) that reads a data file that is updated=
 with new data every 4 seconds.  Eventually though, it will abort with the=
 following message:
>=0D
>=0D
> gnuplot> plot 'gnuplot.txt' index 0 using 1:2 with points 09,      =0D
>               'gnuplot.txt' index 1 using 1:2 with points 04,
>               'gnuplot.txt' index 2 using 1:2 with points 03,
>               'deviation_upper.txt' thru (( $1 * $2)/(-10.*55.1))**2     =
   with  lines 12,      =0D
>               'deviation_lower.txt' thru ((($1 * $2)/(-10. *55.1))**2)*=
 -1 with  lines 12 ,      =0D
>                U_CPS2 with lines 11 , L_CPS2 with lines 11
>                                                             ^
>          "/emsdat/santee/scripts/gplot/cps.pl", line 25395: no data point=
 found in specified file
>=0D
> Attached is the script and I would appreciate any suggestions on how to=
 make it work before I dive into Python.  If anyone thinks gnuplot-py can=
 fix the problem I would be most thankful for some help in getting started.

maybe gnuplot, everyonce in a while, trys to read  a data file while it
is being updated ? If the period of data update and data reading from
gnuplot are 6 and 4 seqs, chances are they'll meet at 12, 24, 36 sec.=
 (assuming
they start at the same time)

The advantage I would see on using gnuplot-py is that. within a python
script, you can check for existance/sanity of the data files before
feeding the gnuplot. So, you could, within the loop:

start endless loop:
  * import data files data into python arrays if files exist   =0D
  * check that the data is actually there, check types, value ranges, etc.
  * plot
  * wait some time
 =0D
Hope this helps,
Leo
   =0D


-------------------------------------------------------
This SF.net email is sponsored by: IT Product Guide on ITManagersJournal
Use IT products in your business? Tell us what you think of them. Give us
Your Opinions, Get Free ThinkGeek Gift Certificates! Click to find out more
http://productguide.itmanagersjournal.com/guidepromo.tmpl=0D
_______________________________________________
Gnuplot-py-users mailing list
Gnu...@li...=0D
https://lists.sourceforge.net/lists/listinfo/gnuplot-py-users=0D




____________________
Confidentiality Notice:
This message is intended exclusively for the individual or entity to which=
 it is addressed. This communication may contain information that is=
 proprietary, privileged, confidential or otherwise legally exempt from=
 disclosure. If you are not the named addressee, you are not authorized to=
 read, print, retain, copy or disseminate this message or any part of it.=
 If you have received this message in error, please notify the sender=
 immediately either by phone or reply to this e-mail, and delete all copies=
 of this message.

Re: [Gnuplot-py-users] Gnuplot Problem

[Leonardo M. <lm...@ud...>]

Hi Dee:

> I was thinking about using gnuplot-py to try to take of a problem I am having with gnuplot itself.  I have a gnuplot script that runs  in a endless 6 second loop (on purpose) that reads a data file that is updated with new data every 4 seconds.  Eventually though, it will abort with the following message:
> 
> 
> gnuplot> plot 'gnuplot.txt' index 0 using 1:2 with points 09,       
>               'gnuplot.txt' index 1 using 1:2 with points 04,
>               'gnuplot.txt' index 2 using 1:2 with points 03,
>               'deviation_upper.txt' thru (( $1 * $2)/(-10.*55.1))**2        with  lines 12,       
>               'deviation_lower.txt' thru ((($1 * $2)/(-10. *55.1))**2)* -1 with  lines 12 ,       
>                U_CPS2 with lines 11 , L_CPS2 with lines 11
>                                                             ^
>          "/emsdat/santee/scripts/gplot/cps.pl", line 25395: no data point found in specified file
> 
> Attached is the script and I would appreciate any suggestions on how to make it work before I dive into Python.  If anyone thinks gnuplot-py can fix the problem I would be most thankful for some help in getting started.

maybe gnuplot, everyonce in a while, trys to read  a data file while it
is being updated ? If the period of data update and data reading from
gnuplot are 6 and 4 seqs, chances are they'll meet at 12, 24, 36 sec. (assuming
they start at the same time)

The advantage I would see on using gnuplot-py is that. within a python
script, you can check for existance/sanity of the data files before
feeding the gnuplot. So, you could, within the loop:

start endless loop:
  * import data files data into python arrays if files exist	
  * check that the data is actually there, check types, value ranges, etc.
  * plot
  * wait some time
  
Hope this helps,
Leo
	

Re: [Gnuplot-py-users] Re: Error bars?

[Robert L. <ro...@le...>]

Tom Kornack wrote:
> 
>>> 2. Is it possible to make two scales for the x and y axes? Like celsius
>>> on one side and fahrenheit on the other?
>>
>>
>> I haven't done it myself but I think you can use the set 
>> x2/y2...(range, label,
>> tics, etc) to do this, i.e. gnuplot('set x2range [-10:10]')
> 
> 
> import Gnuplot
> g = Gnuplot.Gnuplot()
> g('set x2range [-10:10]')
> g('show x2range')
> g.plot([[0,1.1], [1,5.8], [2,3.3], [3,4.2]])
> 
> Am I doing the right thing? I appreciate your help.

A quick search of the Gnuplot mailing list 
(http://groups.google.com/groups?group=comp.graphics.apps.gnuplot) turned up 
that you also need to call 'set x2tics', i.e. g('set x2tics').
Note that this sets up x2 as an independent axis, if you do want to do the 
Celsius/Fahrenheit style related axis 'thing' you may have to use a function to 
specify the x2 range. Search the above list for more info - I found :

http://groups.google.com/groups?hl=en&lr=&ie=UTF-8&threadm=9inmhv%24clg%241%40brogar.bmsc.washington.edu&rnum=8&prev=/groups%3Fq%3Dx2range%26hl%3Den%26lr%3D%26ie%3DUTF-8%26group%3Dcomp.graphics.apps.gnuplot%26selm%3D9inmhv%2524clg%25241%2540brogar.bmsc.washington.edu%26rnum%3D8

which is a little old and may be out of date.

HTH

Robert

[Gnuplot-py-users] Re: Error bars?

[Tom K. <to...@ko...>]

Robert:

Thank you so much.

> Add 'errorbars' to the 'with' keyword, e.g.:
>
> gnuplot.plot(Gnuplot.Data(theData, with="errorbars"))

This works beautifully. I'm having trouble with the x2/y2 stuff:

>> 2. Is it possible to make two scales for the x and y axes? Like 
>> celsius
>> on one side and fahrenheit on the other?
>
> I haven't done it myself but I think you can use the set 
> x2/y2...(range, label,
> tics, etc) to do this, i.e. gnuplot('set x2range [-10:10]')

import Gnuplot
g = Gnuplot.Gnuplot()
g('set x2range [-10:10]')
g('show x2range')
g.plot([[0,1.1], [1,5.8], [2,3.3], [3,4.2]])

Am I doing the right thing? I appreciate your help.

Tom

Re: [Gnuplot-py-users] Error bars?

[Robert L. <ro...@le...>]

Tom Kornack wrote:
> I have two plotting needs:
> 
> 1. Does anyone know if there is a way to make error bars in this gnuplot 
> module?

Add 'errorbars' to the 'with' keyword, e.g.:

gnuplot.plot(Gnuplot.Data(theData, with="errorbars"))

The data must include the necessary information to plot the errorbars, see the 
gnuplot help on errorbars for more info.

> 2. Is it possible to make two scales for the x and y axes? Like celsius 
> on one side and fahrenheit on the other?

I haven't done it myself but I think you can use the set x2/y2...(range, label, 
tics, etc) to do this, i.e. gnuplot('set x2range [-10:10]')


HTH

Robert

Re: [Gnuplot-py-users] Error bars?

[Fernando P. <Fer...@co...>]

Tom Kornack wrote:
> Hello:
> 
> I have two plotting needs:
> 
> 1. Does anyone know if there is a way to make error bars in this 
> gnuplot module?

Sure, just call gp('set data style errorbars') (assuming gp is your gnuplot 
instance) and then plot your data as an Nx3 array, where the first column is 
X, the 2nd is Y and the third is dY.

Hth,

f

[Gnuplot-py-users] Error bars?

[Tom K. <to...@ko...>]

Hello:

I have two plotting needs:

1. Does anyone know if there is a way to make error bars in this 
gnuplot module?
2. Is it possible to make two scales for the x and y axes? Like celsius 
on one side and fahrenheit on the other?

Thanks very much.

best,
Tom


http://kornack.com
Fundamental Symmetries Lab, Princeton University
609-716-7259 (h), 609-933-2186 (m), 609-258-0702 (w), 609-258-1625 (f)
Thomas Kornack, 157 North Post Road, Princeton Junction, NJ 08550-5009

[Gnuplot-py-users] Executing command line

[Angelo S. <se...@ss...>]

Hi,
suppose I have a variable "data" created inside a python
script. I would like to execute in the same Python script the following
gnuplot line

plot "data | my_program " w line

where my_program is an utility to manipulate data.

Is that possible?

thanks
a.


--
========================================================
 Angelo Secchi                     PGP Key ID:EA280337
========================================================
  Current Position:
  Graduate Fellow Scuola Superiore S.Anna
  Piazza Martiri della Liberta' 33, Pisa, 56127 Italy
  ph.: +39 050 883365
  email: se...@ss...	www.sssup.it/~secchi/
========================================================

Re: [Gnuplot-py-users] Gnuplot in windows exits prematurely

[Jim K. <jek...@kl...>]

Seth Lesky wrote:
> 
> I apologize in advance if this has been brought up somewhere before,
> 
> Gnuplot on Windows exits immediately when the python script exits. Is 
> there a nice way of preventing this without a call to time.sleep()?
> 
> Regards,
> SL

In the past, a call to
  g.gnuplot.gnuplot.close()

in some circumstances would cause the popen() to
wait until closed.  Give that a try and see if
it helps.

Jim