matplotlib-users Mailing List for matplotlib

Hi,
the same problem occurred, when I also tried to plot some chaos systems
the solution I found (and works just fine) is to comment axes.py:2131
I didn't send a patch, 'cos I'm not sure that it wasn't really an
common bug (I played with my overall python distribution)
some OT:
1) trajectories -> you could use pydoc numpy.hsplit
2) IMHO to plot chaotic behaviour with iterations over 500k the matplotli=
b on
an ordinary computer is a little bit slow compared to creating a data
file and using gnuplot ...
Karol
On Fri, Jan 12, 2007 at 11:17:30AM +0100, Mico Fil=F3s wrote:
> Hi all
>=20
> I am trying to plot the trajectory of the Lorenz system with the axes3d=
.py
> module (version 0.87.7). The code is the following:
>=20
...
>=20
> I get however some errors related with the autoscale_view() method (see=
 below).
> I have two questions: Is plot3D the correct choice for plotting a 3D
> curve? In that case, is there any way to fix these errors?
>=20
> Thanks a lot for your help and for making matplotlib possible,
>=20
> dani
>=20
> Errors (pdb output):
>=20
> lorenz.py
> ---> 42 plot3D(x,y,z)
>=20
> /usr/lib/python2.4/site-packages/matplotlib/axes3d.py in plot3D(self,
> xs, ys, zs, *args, **kwargs)
> 488 def plot3D(self, xs, ys, zs, *args, **kwargs):
> 489 had_data =3D self.has_data()
> --> 490 lines =3D Axes.plot(self, xs,ys, *args, **kwargs)
> 491 if len(lines)=3D=3D1:
> 492 line =3D lines[0]
>=20
> /usr/lib/python2.4/site-packages/matplotlib/axes.py in plot(self,
> *args, **kwargs)
> 2129 lines =3D [line for line in lines] # consume the genera=
tor
> 2130
> -> 2131 self.autoscale_view(scalex=3Dscalex, scaley=3Dscaley)
> 2132 return lines
>=20
> TypeError: autoscale_view() got an unexpected keyword argument 'scalex'
> > /usr/lib/python2.4/site-packages/matplotlib/axes.py(2131)plot()
> 2130
> -> 2131 self.autoscale_view(scalex=3Dscalex, scaley=3Dscaley)
> 2132 return lines
>=20

Hi,
the following simple code (in Matlab syntax):
x1 = [5, 6]
y1 = [3, 2]
bar([1,2], [x1; y1])
produces a bar plot where two of the bars have a color (let's say red) and
the two other bars have another color (let's say blue). I'd like to know
whether it's possible in matplotlib to plot the bars not simply with a
different color but with a different filling pattern. So, for example, the
blue bars filled with vertical lines (or something else) and the red bars
filled with horizontal lines (or again something else).
Please, note that I'm not talking about the borders of the bars. The reason
why I need this feature is that I have to clearly distinguish the bars also
when they are plotted in black and white, because many publications can't be
done in colors.
Any help will be very appreciated.
Thanks and regards
Francesco

Hi Folks,
 
 I was wondering how to set the Matplotlib classic Toolbar in order to display only existent data when the back/forward arrows are clicked (i.e, the pan feature) for a subplot that displays plotted data. 
 
 How to set the code in the matplotlib toolbar to only display the data from the file? ( clicking the left arrow when the left most point is at the start of the data file should result in freezing of the plot and a similar action when the right arrow is clicked when the right most point is at the end of the data file). 
 
 I'm not sure if my post was sufficiently as clear as spring water. Any suggestions would be greatly appreciated.
 
 Great forum, by the way.. 
 
 Thanks.
 -Maser
 
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