Re: [Gnuplot-py-users] quick and dirty catch-all plot function

[<bm...@ca...>]

It would be nice to have a cookbook section somewhere where  
interesting code examples can be posted.

Benny

Quoting Michael Haggerty <mh...@al...>:

> 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
> mh...@al...
> http://softwareswirl.blogspot.com/
>
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