On Sunday 16 July 2006 19:38, Webb Sprague wrote:
> I have data with missing values represented by nans (like array([1.0,
> nan, 3.0]) that I am plotting with pylab.semilogy(). Unfortunately,
> the lines are getting connected through the nans, while I was hoping
> they would be left empty. If som
On Sunday 16 July 2006 7:43 pm, PGM wrote:
> On Sunday 16 July 2006 19:38, Webb Sprague wrote:
> > I have data with missing values represented by nans (like array([1.0,
> > nan, 3.0]) that I am plotting with pylab.semilogy().
>
> Please transform your array in a MaskedArray.
No, this is a bug that
Masked arrays seem to do the trick.
Is there a reason why the nan thing won't work?
On 7/16/06, PGM <[EMAIL PROTECTED]> wrote:
> On Sunday 16 July 2006 19:38, Webb Sprague wrote:
> > I have data with missing values represented by nans (like array([1.0,
> > nan, 3.0]) that I am plotting with pylab
On Sunday 16 July 2006 19:38, Webb Sprague wrote:
> I have data with missing values represented by nans (like array([1.0,
> nan, 3.0]) that I am plotting with pylab.semilogy().
Please transform your array in a MaskedArray.
import numpy as N
masked_x=N.ma.masked_where(N.isnan(x),x)
That should do
I have data with missing values represented by nans (like array([1.0,
nan, 3.0]) that I am plotting with pylab.semilogy(). Unfortunately,
the lines are getting connected through the nans, while I was hoping
they would be left empty. If someone could tell me how to get empty
lines, that would be g
