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
Works like a champ.
Thank you, S.
John Hunter wrote:
>> "Simon" == Simon Hook <[EMAIL PROTECTED]> writes:
>>
>
> Simon> Hi, [cross posted to egenix and matplotlib]
>
> Simon> I have been using the egenix mxDateTime module and want to
> Simon> plot some of the date
> "Simon" == Simon Hook <[EMAIL PROTECTED]> writes:
Simon> Hi, [cross posted to egenix and matplotlib]
Simon> I have been using the egenix mxDateTime module and want to
Simon> plot some of the dates with Matplotlib (pylab). Pylab uses
Simon> num2date and date2num to covert dat
Hi,
[cross posted to egenix and matplotlib]
I have been using the egenix mxDateTime module and want to plot some of
the dates with Matplotlib (pylab). Pylab uses num2date and date2num to
covert datesandtimes to floating point values for plotting.
Unfortunately if you give pylab date2num an ege
