Re: [Matplotlib-users] Lines drawn across NaN data

[Matthew T. <tsc...@gm...>]

I worked around this using masked arrays from numpy.ma.

import numpy.ma as ma
import pylab as pl
import numpy as np

x = ...
x = ma.masked_where(np.isnan(x), x)
pl.plot(x)
pl.show()

On Wed, Sep 17, 2008 at 6:36 PM, Goyo <goy...@gm...> wrote:

> I'm having trouble plotting data with NaN values. My plot has lines and
> markers and usually both are skipped for NaN values. But when I have
> more than 127 data a line is drawn from the last non-NaN to the next.
>
> I read somewhere about a similar issue (maybe here? sorry I can't find
> it just now), it seems like it has to do with some optimization
> performed for large datasets and the use if lineto instead of moveto or
> something like that. It was supposed to be fixed in 0.98.2 but I'm using
> 0.98.3 from Benjamin Drung's PPA (http://ppa.launchpad.net/bdrung).
>
> This code shows the difference between plotting 127 and 128 data (look
> at the left of each figure):
>
> import pylab as pl
> x = pl.random(128)
> x[4:7] = pl.NaN
> y = x[:-1]
> pl.figure(1)
> pl.plot(x, '-o')
> pl.grid(True)
> pl.figure(2)
> pl.plot(y, '-o')
> pl.grid(True)
> pl.show()
>
> Is this a known issue? Is there any workaround?
>
> Thanks
>
> Goyo
>
>
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