From: John E Field <jfield@do...>  20110221 20:52:28

Hi All, I installed Gnuplot.py and I like it a lot. How about a really quick and easy routine to just plot a function or several functions. It seems like I am plotting things so much that I shouldn't have to write several lines of code to make it happen. Perhaps it is already in there and I just don't know about it. Something sort of like this : gplot(x,y) < plots y vs x gplot(x,y,with_='lines',title='my title') < adds title and plots with lines gplot(x,y,z) < plots y and z versus x gplot([1,2],sin) < plots sin(x) from 1.0 to 2.0 and, the code might look something like this : def gplot(*xy,**args) : """ routine for plotting a function using gnuplot directly from python usage: pass arguments in args. for with lines, do with_='lines' title = 'my title' xlabel= 'my xlabel', etc. if the persist option is false, then the plot will only last until the returned object is destroyed otherwise, the plot is forever. """ try : if args.has_key('persist') : g = Gnuplot.Gnuplot(persist=args['persist']); del args['persist']; else : g = Gnuplot.Gnuplot(persist=True); except : from Gnuplot import Gnuplot,Data if args.has_key('persist') : g = Gnuplot(persist=args['persist']); del args['persist']; else : g = Gnuplot(persist=True); x = xy[0]; if len(x) == 2 : # fill up the range x = [x[0]+(x[1]x[0])*0.005*i for i in range(201)]; d = []; # make an argument list for each plot function for yi in xy[1:] : if not (yi.__class__ is list or yi.__class__ is tuple) : yi = map(yi,x); if args.has_key('with_') : di = Data(x,yi,with_=args['with_']); else : di = Data(x,yi); d.append(di); if args.has_key('with_') : del args['with_']; return g.plot(*d,**args); cheers, John Field 
From: Michael Haggerty <mhagger@al...>  20110222 09:16:13

On 02/21/2011 09:51 PM, John E Field wrote: > I installed Gnuplot.py and I like it a lot. How about a really quick and > easy routine to just plot a function or several functions. It seems like > I am plotting things so much that I shouldn't have to write several > lines of code to make it happen. Perhaps it is already in there and I > just don't know about it. Something sort of like this : I'm not such a fan of magical functions that try to guess what you mean. The problem is that everybody has a different opinion about what magic they prefer. I prefer flexible but straightforward functions that can be *used* to make magical functions. So I wouldn't advocate putting a function like this in Gnuplot.py, though it is a fine example. > gplot(x,y) < plots y vs x > gplot(x,y,with_='lines',title='my title') < adds title and plots with lines > gplot(x,y,z) < plots y and z versus x > gplot([1,2],sin) < plots sin(x) from 1.0 to 2.0 > > and, the code might look something like this : > > def gplot(*xy,**args) : > """ routine for plotting a function using gnuplot directly from python > usage: pass arguments in args. for with lines, do with_='lines' > title = 'my title' > xlabel= 'my xlabel', > etc. > if the persist option is false, then the plot will only last > until the returned object is destroyed > otherwise, the plot is forever. > """ > try : > if args.has_key('persist') : > g = Gnuplot.Gnuplot(persist=args['persist']); > del args['persist']; > else : g = Gnuplot.Gnuplot(persist=True); > except : > from Gnuplot import Gnuplot,Data > if args.has_key('persist') : > g = Gnuplot(persist=args['persist']); > del args['persist']; > else : g = Gnuplot(persist=True); > x = xy[0]; > if len(x) == 2 : # fill up the range > x = [x[0]+(x[1]x[0])*0.005*i for i in range(201)]; > d = []; # make an argument list for each plot function > for yi in xy[1:] : > if not (yi.__class__ is list or yi.__class__ is tuple) : yi = > map(yi,x); > if args.has_key('with_') : > di = Data(x,yi,with_=args['with_']); > else : di = Data(x,yi); > d.append(di); > if args.has_key('with_') : del args['with_']; > return g.plot(*d,**args); BTW, there are some things in your function that can be simplified (untested code): def gplot(*xy,**args): """...""" try: Gnuplot, Data except NameError: from Gnuplot import Gnuplot, Data g = Gnuplot(persist=args.pop('persist', True)); x = xy[0] if len(x) == 2: # fill up the range x = [x[0]+(x[1]x[0])*0.005*i for i in range(201)] d = [] # make an argument list for each plot function data_opts = {} if 'with_' in args: data_opts['with_'] = args.pop('with_') for yi in xy[1:]: if not isinstance(yi, (list, tuple)): yi = map(yi,x) d.append(Data(x, yi, **data_args)) return g.plot(*d, **args) Michael  Michael Haggerty mhagger@... http://softwareswirl.blogspot.com/ 
From: <bm@ca...>  20110222 10:41:48

It would be nice to have a cookbook section somewhere where interesting code examples can be posted. Benny Quoting Michael Haggerty <mhagger@...>: > On 02/21/2011 09:51 PM, John E Field wrote: >> I installed Gnuplot.py and I like it a lot. How about a really quick and >> easy routine to just plot a function or several functions. It seems like >> I am plotting things so much that I shouldn't have to write several >> lines of code to make it happen. Perhaps it is already in there and I >> just don't know about it. Something sort of like this : > > I'm not such a fan of magical functions that try to guess what you mean. > The problem is that everybody has a different opinion about what magic > they prefer. I prefer flexible but straightforward functions that can > be *used* to make magical functions. So I wouldn't advocate putting a > function like this in Gnuplot.py, though it is a fine example. > >> gplot(x,y) < plots y vs x >> gplot(x,y,with_='lines',title='my title') < adds title and plots with lines >> gplot(x,y,z) < plots y and z versus x >> gplot([1,2],sin) < plots sin(x) from 1.0 to 2.0 >> >> and, the code might look something like this : >> >> def gplot(*xy,**args) : >> """ routine for plotting a function using gnuplot directly from python >> usage: pass arguments in args. for with lines, do with_='lines' >> title = 'my title' >> xlabel= 'my xlabel', >> etc. >> if the persist option is false, then the plot will only last >> until the returned object is destroyed >> otherwise, the plot is forever. >> """ >> try : >> if args.has_key('persist') : >> g = Gnuplot.Gnuplot(persist=args['persist']); >> del args['persist']; >> else : g = Gnuplot.Gnuplot(persist=True); >> except : >> from Gnuplot import Gnuplot,Data >> if args.has_key('persist') : >> g = Gnuplot(persist=args['persist']); >> del args['persist']; >> else : g = Gnuplot(persist=True); >> x = xy[0]; >> if len(x) == 2 : # fill up the range >> x = [x[0]+(x[1]x[0])*0.005*i for i in range(201)]; >> d = []; # make an argument list for each plot function >> for yi in xy[1:] : >> if not (yi.__class__ is list or yi.__class__ is tuple) : yi = >> map(yi,x); >> if args.has_key('with_') : >> di = Data(x,yi,with_=args['with_']); >> else : di = Data(x,yi); >> d.append(di); >> if args.has_key('with_') : del args['with_']; >> return g.plot(*d,**args); > > BTW, there are some things in your function that can be simplified > (untested code): > > def gplot(*xy,**args): > """...""" > try: > Gnuplot, Data > except NameError: > from Gnuplot import Gnuplot, Data > > g = Gnuplot(persist=args.pop('persist', True)); > > x = xy[0] > if len(x) == 2: > # fill up the range > x = [x[0]+(x[1]x[0])*0.005*i for i in range(201)] > d = [] # make an argument list for each plot function > data_opts = {} > if 'with_' in args: > data_opts['with_'] = args.pop('with_') > for yi in xy[1:]: > if not isinstance(yi, (list, tuple)): > yi = map(yi,x) > d.append(Data(x, yi, **data_args)) > return g.plot(*d, **args) > > Michael > >  > Michael Haggerty > mhagger@... > http://softwareswirl.blogspot.com/ > >  > Index, Search & Analyze Logs and other IT data in RealTime with Splunk > Collect, index and harness all the fast moving IT data generated by your > applications, servers and devices whether physical, virtual or in the cloud. > Deliver compliance at lower cost and gain new business insights. > Free Software Download: http://p.sf.net/sfu/splunkdev2dev > _______________________________________________ > Gnuplotpyusers mailing list > Gnuplotpyusers@... > https://lists.sourceforge.net/lists/listinfo/gnuplotpyusers >  This message was sent using IMP, the Internet Messaging Program. 