On Wednesday 18 July 2007 6:56:18 am Armando Serrano Lombillo wrote:
> Yes!
> matplotlib is beautiful. Thanks everybody for your help.
Here is another way, with numpy arrays:
data[data==0]=nan
plot(data)
> On 7/18/07, Angus McMorland <[EMAIL PROTECTED]> wrote:
> > Hi Armando,
> >
> > On 18/07/07, Armando Serrano Lombillo <[EMAIL PROTECTED]> wrote:
> > > Hello, I have a question.
> > >
> > > Let's say I have the following data:
> > > [1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8]
> > > which I want to plot, but I want to omit the zeros, so I would like to
> >
> > do
> >
> > > something like:
> > > plot(range(1,6), [1,3,6,1,2], 'b')
> > > plot(range(10,18), [1,4,7,9,4,2,4,6], 'b')
> > > plot(range(30,36), [1,3,5,6,7,8], 'b')
> > > savefig('filtered.eps')
> > >
> > > Is there an elegant way of doing this?
> >
> > Do masked arrays achieve what you want?
> >
> > from numpy.core import ma
> > data = n.array
> > ([1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8])
> > masked_data = ma.masked_array(data, mask=(dat==0))
> > plot(masked_data)
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