[Matplotlib-users] 3d plotting

2012-03-18 Thread David Craig
Hi,
I'm using surface_plot to view the results of solving the 2d wave equation.
It works fine (code is below) except I would like to add a color bar and
fix the limits on the vertical axis. When I add the color bar a new one is
added in every iteration instead of overwriting the previous one, anyone
know how I can prevent this?
Also is it possible to specify a view point when plotting?
Thanks
D



import matplotlib.pyplot as plt
import numpy as np
import pylab as py
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm

pi = np.pi

#Set up grid.

fig = py.figure()
ax = Axes3D(fig)

nx = 50
nz = 50

X = np.arange(0, nx, 1)
Y = np.arange(0, nz, 1)
X, Y = np.meshgrid(X, Y)

nsteps = 100

# Constants for equation.
c = 4000
dt = 1e-4
h = 1


# Set up source.
xs = 0
zs = 0

#fig2 = py.figure()
ts = np.arange(dt,nsteps*dt,dt)
s = 0.5*np.sin(2*pi*100*ts)
#py.plot(ts,s)
#py.show()


# Homogeneous pressure field.
p = np.zeros([nx, nz, nsteps])

# Solve equation.
for t in range(0,nsteps-1):


for z in range(0,nz-1):

for x in range(0,nx-1):

p[xs,zs,t] = s[t]

k = (c*dt/h)**2

p[x,z,t] = 2*p[x,z,t-1] - p[x,z,t-2] +
k*(p[x+1,z,t-1]-4*p[x,z,t-1]+p[x-1,z,t-1]+p[x,z+1,t-1]+p[x,z-1,t-1])

snap = p[:,:,t]
surf = ax.plot_surface(X,Y,snap, rstride=1, cstride=1, cmap=cm.jet,
linewidth=0)
#fig.colorbar(surf, shrink=0.5, aspect=5)
#py.draw()
py.savefig('/home/davcra/Desktop/plots/2Dwave/'+str(t))
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[Matplotlib-users] 3D plotting

2011-12-13 Thread Martella, C.
Hello,

I have 2D array where each (x, y) cell represents the height of that point on 
the Z axis (you can think of it as the map of some mountain chain). 
I'd like to get the plot_surface() of this data. What I don't understand in 
particular is the content of the X, Y ,Z array parameter in my particular 
example.

Can anybody elaborate on this please?

Thanks!
Claudio

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Re: [Matplotlib-users] 3d plotting without ticklabels

2010-08-03 Thread Jae-Joon Lee
On Wed, Aug 4, 2010 at 12:11 AM, Benjamin Root  wrote:
> I have done some further research on this, and it appears to be a bug of
> some sort.  Possibly the Locators are already made by the time the
> ax.set_xticks([]) is called and that function falls on deaf ears because the
> real xaxis is actually a different object for Axes3D.  When trying to dig
> down and force zero ticks from being used (using NullLocator), I get errors
> when attempting to draw:

I think this is a bug in Axis3D. In the meantime, one can use

# make ticklabels and ticklines invisible
for a in ax.w_xaxis.get_ticklines()+ax.w_xaxis.get_ticklabels():
a.set_visible(False)

Note that w_xaxis, w_yaxis, w_zaxis correspond to x, y, z axis.
To remove y tickmakes, replace ax.w_xaxis with ax.w_yaxis.

Regards,

-JJ

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Re: [Matplotlib-users] 3d plotting without ticklabels

2010-08-03 Thread Benjamin Root
On Mon, Jun 14, 2010 at 2:14 AM, Ola Skavhaug  wrote:

> On Fri, Jun 11, 2010 at 4:50 PM, Benjamin Root  wrote:
> > Ola,
> >
> > Just to make sure, have you tried "ax.set_xticks([])"?
>
> Yes, I have tried that, but without success. Looks like the tick-logic
> is overridden for 3d plotting. Or at least, I cannot figure out how it
> works.
>
> Ola
>
> > Ben Root
> >
> >
> >
> > On Fri, Jun 11, 2010 at 3:05 AM, Ola Skavhaug 
> wrote:
> >>
> >> Hi,
> >>
> >> I'm trying to remove the xtickmarks and ytickmarks from a 3d plot,
> >> without any success.
> >>
> >> The example I experiment with is the following:
> >>
> >> from mpl_toolkits.mplot3d import axes3d
> >> import matplotlib.pyplot as plt
> >>
> >> fig = plt.figure()
> >> ax = axes3d.Axes3D(fig)
> >> X, Y, Z = axes3d.get_test_data(0.05)
> >> cset = ax.contour(X, Y, Z, 16, extend3d=True)
> >> ax.clabel(cset, fontsize=9, inline=1)
> >>
> >> #One try that didn't work
> >> ax.set_xticklabels("")
> >>
> >> plt.show()
> >>
> >> It looks like the final plot ignores all my efforts in turning the
> >> ticks off. Any help on this matter would be greatly appreciated.
> >>
> >> Regards,
> >> --
> >> Ola Skavhaug
> >> Research Programmer
> >> Simula Research Laboratory
> >>
> >>
>

I have done some further research on this, and it appears to be a bug of
some sort.  Possibly the Locators are already made by the time the
ax.set_xticks([]) is called and that function falls on deaf ears because the
real xaxis is actually a different object for Axes3D.  When trying to dig
down and force zero ticks from being used (using NullLocator), I get errors
when attempting to draw:

Traceback (most recent call last):
  File
"/home/bvr/Programs/matplotlib/matplotlib/lib/matplotlib/backends/backend_gtk.py",
line 390, in expose_event
self._render_figure(self._pixmap, w, h)
  File
"/home/bvr/Programs/matplotlib/matplotlib/lib/matplotlib/backends/backend_gtkagg.py",
line 75, in _render_figure
FigureCanvasAgg.draw(self)
  File
"/home/bvr/Programs/matplotlib/matplotlib/lib/matplotlib/backends/backend_agg.py",
line 394, in draw
self.figure.draw(self.renderer)
  File "/home/bvr/Programs/matplotlib/matplotlib/lib/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
  File "/home/bvr/Programs/matplotlib/matplotlib/lib/matplotlib/figure.py",
line 798, in draw
func(*args)
  File
"/home/bvr/Programs/matplotlib/matplotlib/lib/mpl_toolkits/mplot3d/axes3d.py",
line 172, in draw
ax.draw(renderer)
  File
"/home/bvr/Programs/matplotlib/matplotlib/lib/mpl_toolkits/mplot3d/axis3d.py",
line 231, in draw
newval = get_flip_min_max(xyz1[0], newindex, mins, maxs)
IndexError: list index out of range

Ben Root
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Re: [Matplotlib-users] 3d plotting without ticklabels

2010-07-31 Thread skorpio11

Bump.

Is this possible using mplot3d?? I would, also like to turn off the ticks
and the tick labels.



skavhaug wrote:
> 
> On Fri, Jun 11, 2010 at 4:50 PM, Benjamin Root  wrote:
>> Ola,
>>
>> Just to make sure, have you tried "ax.set_xticks([])"?
> 
> Yes, I have tried that, but without success. Looks like the tick-logic
> is overridden for 3d plotting. Or at least, I cannot figure out how it
> works.
> 
> Ola
> 
>> Ben Root
>>
>>
>>
>> On Fri, Jun 11, 2010 at 3:05 AM, Ola Skavhaug  wrote:
>>>
>>> Hi,
>>>
>>> I'm trying to remove the xtickmarks and ytickmarks from a 3d plot,
>>> without any success.
>>>
>>> The example I experiment with is the following:
>>>
>>> from mpl_toolkits.mplot3d import axes3d
>>> import matplotlib.pyplot as plt
>>>
>>> fig = plt.figure()
>>> ax = axes3d.Axes3D(fig)
>>> X, Y, Z = axes3d.get_test_data(0.05)
>>> cset = ax.contour(X, Y, Z, 16, extend3d=True)
>>> ax.clabel(cset, fontsize=9, inline=1)
>>>
>>> #One try that didn't work
>>> ax.set_xticklabels("")
>>>
>>> plt.show()
>>>
>>> It looks like the final plot ignores all my efforts in turning the
>>> ticks off. Any help on this matter would be greatly appreciated.
>>>
>>> Regards,
>>> --
>>> Ola Skavhaug
>>> Research Programmer
>>> Simula Research Laboratory
>>>
>>>
>>> --
>>> ThinkGeek and WIRED's GeekDad team up for the Ultimate
>>> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
>>> lucky parental unit.  See the prize list and enter to win:
>>> http://p.sf.net/sfu/thinkgeek-promo
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>>> Matplotlib-users@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
> 
> 
> 
> -- 
> Ola Skavhaug
> Research Programmer
> Simula Research Laboratory
> 
> --
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> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the 
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> 

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Re: [Matplotlib-users] 3d plotting without ticklabels

2010-06-14 Thread Ola Skavhaug
On Fri, Jun 11, 2010 at 4:50 PM, Benjamin Root  wrote:
> Ola,
>
> Just to make sure, have you tried "ax.set_xticks([])"?

Yes, I have tried that, but without success. Looks like the tick-logic
is overridden for 3d plotting. Or at least, I cannot figure out how it
works.

Ola

> Ben Root
>
>
>
> On Fri, Jun 11, 2010 at 3:05 AM, Ola Skavhaug  wrote:
>>
>> Hi,
>>
>> I'm trying to remove the xtickmarks and ytickmarks from a 3d plot,
>> without any success.
>>
>> The example I experiment with is the following:
>>
>> from mpl_toolkits.mplot3d import axes3d
>> import matplotlib.pyplot as plt
>>
>> fig = plt.figure()
>> ax = axes3d.Axes3D(fig)
>> X, Y, Z = axes3d.get_test_data(0.05)
>> cset = ax.contour(X, Y, Z, 16, extend3d=True)
>> ax.clabel(cset, fontsize=9, inline=1)
>>
>> #One try that didn't work
>> ax.set_xticklabels("")
>>
>> plt.show()
>>
>> It looks like the final plot ignores all my efforts in turning the
>> ticks off. Any help on this matter would be greatly appreciated.
>>
>> Regards,
>> --
>> Ola Skavhaug
>> Research Programmer
>> Simula Research Laboratory
>>
>>
>> --
>> ThinkGeek and WIRED's GeekDad team up for the Ultimate
>> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
>> lucky parental unit.  See the prize list and enter to win:
>> http://p.sf.net/sfu/thinkgeek-promo
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>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>



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Research Programmer
Simula Research Laboratory

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Re: [Matplotlib-users] 3d plotting without ticklabels

2010-06-11 Thread Benjamin Root
Ola,

Just to make sure, have you tried "ax.set_xticks([])"?

Ben Root



On Fri, Jun 11, 2010 at 3:05 AM, Ola Skavhaug  wrote:

> Hi,
>
> I'm trying to remove the xtickmarks and ytickmarks from a 3d plot,
> without any success.
>
> The example I experiment with is the following:
>
> from mpl_toolkits.mplot3d import axes3d
> import matplotlib.pyplot as plt
>
> fig = plt.figure()
> ax = axes3d.Axes3D(fig)
> X, Y, Z = axes3d.get_test_data(0.05)
> cset = ax.contour(X, Y, Z, 16, extend3d=True)
> ax.clabel(cset, fontsize=9, inline=1)
>
> #One try that didn't work
> ax.set_xticklabels("")
>
> plt.show()
>
> It looks like the final plot ignores all my efforts in turning the
> ticks off. Any help on this matter would be greatly appreciated.
>
> Regards,
> --
> Ola Skavhaug
> Research Programmer
> Simula Research Laboratory
>
>
> --
> ThinkGeek and WIRED's GeekDad team up for the Ultimate
> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
> lucky parental unit.  See the prize list and enter to win:
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[Matplotlib-users] 3d plotting without ticklabels

2010-06-11 Thread Ola Skavhaug
Hi,

I'm trying to remove the xtickmarks and ytickmarks from a 3d plot,
without any success.

The example I experiment with is the following:

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt

fig = plt.figure()
ax = axes3d.Axes3D(fig)
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)

#One try that didn't work
ax.set_xticklabels("")

plt.show()

It looks like the final plot ignores all my efforts in turning the
ticks off. Any help on this matter would be greatly appreciated.

Regards,
-- 
Ola Skavhaug
Research Programmer
Simula Research Laboratory

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Re: [Matplotlib-users] 3D plotting support

2007-08-14 Thread Tom Denniston
You might take a look at tvtk.mlab and mavayi.

http://www.scipy.org/Cookbook/MayaVi



On 8/14/07, Eric Firing <[EMAIL PROTECTED]> wrote:
> Kaushik Ghose wrote:
> > Hi Everyone,
> >
> > I vaguely remember a comment from a poster a short while back that
> > suggested that 3D support in matplotlib was not serious. I would like to
> > ask what plans there are for 3D plotting support in this great library.
>
> There are no plans.  The topic keeps coming up, but no one has come
> forward to put steady work into it.  It is not entirely clear how much
> can be done using the present approach, which is a layer on top of a
> fundamentally 2D framework.
>
> Eric
> >
> > thanks!
> > -Kaushik
>
>
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Re: [Matplotlib-users] 3D plotting support

2007-08-14 Thread Eric Firing
Kaushik Ghose wrote:
> Hi Everyone,
> 
> I vaguely remember a comment from a poster a short while back that 
> suggested that 3D support in matplotlib was not serious. I would like to 
> ask what plans there are for 3D plotting support in this great library.

There are no plans.  The topic keeps coming up, but no one has come 
forward to put steady work into it.  It is not entirely clear how much 
can be done using the present approach, which is a layer on top of a 
fundamentally 2D framework.

Eric
> 
> thanks!
> -Kaushik


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[Matplotlib-users] 3D plotting support

2007-08-14 Thread Kaushik Ghose
Hi Everyone,

I vaguely remember a comment from a poster a short while back that 
suggested that 3D support in matplotlib was not serious. I would like to 
ask what plans there are for 3D plotting support in this great library.

thanks!
-Kaushik

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Re: [Matplotlib-users] 3D plotting?

2007-08-10 Thread Eric Firing


3D plotting in mpl is unmaintained, so I don't recommend relying on it 
unless you can bring it up to date and maintain it.

After committing a bugfix to svn, the following works with svn mpl and 
does something like what you want (but might not work with whatever 
version of mpl you are using.)
--
from pylab import *
from  matplotlib import axes3d
N = 30
x = 0.9*rand(N)
y = 0.9*rand(N)
z = rand(N)
c = rand(N)
area = pi*(10 * rand(N))**2 # 0 to 10 point radiuses
fig = gcf()
ax3d = axes3d.Axes3D(fig)
plt = fig.axes.append(ax3d)

ax3d.scatter(x,y,z,s=area, marker='^', c=c)

show()
-

A more general problem is that a 3D scatter plot is ambiguous--how do 
you know where a point really is in 3D?  You would have to do something 
like mapping color to Z.  Is that what you want to do?

Eric

william ratcliff wrote:
> Is there a way to choose the color map for doing scatter plots using 
> Axes3D?  In the test_scatter() example in the class, there is a line 
> something like:
> 
> ax.scatter3D(xs,ys,zs, c='r')
> 
> I would like to plot points based on 3 dimensional coordinates specified 
> by xs,ys, zs, which works great.  However, I would like to color the 
> points with a third array, for example, cs which would either specify an 
> index in a color map, or even just an intensity of a given color.  Is 
> this possible within matplotlib?
> 
> Thanks,
> William
> 
> 
> 
> 
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Re: [Matplotlib-users] 3D plotting?

2007-08-10 Thread Matthieu Brucher
2007/8/10, william ratcliff <[EMAIL PROTECTED]>:
>
> so it would be something like:
>
>
> c=numpy.array([[1,2,3],[0,0,4],[0,2,4]]), where the values in the array go
> from 0-255 and denote r,g,b values?
>
> Thanks!


I use floatting point values, don't know if integers work.
I thing that colormap could be used, but I really don't know, I do not use
them.

Matthieu
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[Matplotlib-users] 3D plotting?

2007-08-10 Thread william ratcliff
Is there a way to choose the color map for doing scatter plots using
Axes3D?  In the test_scatter() example in the class, there is a line
something like:

ax.scatter3D(xs,ys,zs, c='r')

I would like to plot points based on 3 dimensional coordinates specified by
xs,ys, zs, which works great.  However, I would like to color the points
with a third array, for example, cs which would either specify an index in a
color map, or even just an intensity of a given color.  Is this possible
within matplotlib?

Thanks,
William
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Re: [Matplotlib-users] 3D plotting lines / markers / colors question

2007-04-13 Thread Matthieu Brucher

Hi,

In fact, polt3D and plot3d are the same, IIRC.
the kwargs are exactly the same as plot or scatter, as those methods are
called inside plot3d ans scatter3d to make the plot.
You can use 'ro-', no sweat, it works like a charm - at least for me :) -

Matthieu

2007/4/12, belinda thom <[EMAIL PROTECTED]>:


On Apr 11, 2007, at 4:54 PM, belinda thom wrote:

> Hi,
>
> What kwargs are available for plot3D and scatter3D?

And what is the difference between plot3d and plot3D?

The former seems most "matlab" like, and was what I was looking for:
a way to plot individual points and/or curves in 3d using matlab-
style line formatting info like:

'ro-'

or

'go--'

I'm posting this discovery here b/c it took me a long time to find
(from the cookbook I somehow started using plot3D and didn't realize
there was a plot3d).

I am still unsure what args you can pass into plot3D and scatter3D to
achieve similar line control. If there's a high-level place this
stuff is described, it would be beneficial.


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Re: [Matplotlib-users] 3d plotting question

2007-04-11 Thread belinda thom
> Hi Belinda,
>
> I've been playing with 3D plots and scatter plots in the past few days
> and I've been able to get them working. You should be able to pass in
> a c= parameter as you would for a normal 2d scatter plot. I've
> been doing this and it's working for me.

Interesting.

I'm on Mac OS X 4.8.9, running Python 2.4.4, using Matplotlib 0.87.7  
w/TkAgg (I might be using Wx, but would have to get a problem w/my  
machine's and all the students' lab machines wx libraries updated).

When I try using the c='r' parameter, I run into problems. I also  
tried c='red'. One big problem for me is that which kwargs can be  
used where and what values they can take on is not well documented.

For instance, in plot3d (as opposed to plot3D) you can pass the  
typical Matplotlib 'r.-' string and it just works. But in  
plot_wireframe, for example, it appears you must use different kwargs  
(for instance, linestyle='solid' and color=''). I am  
not sure about these notions, b/c I've had to deduce them from the  
code and various google-based snippets.

That's why I'm asking for more guidance about the various kwarg usages.

Is there any good place to find more cohesive info online? The most  
useful place I could find seemed to be in matplotlib's  
collections.py, an __init__ function's documentation (that's where I  
deduced, for instance, the linestyle and RGB color info). If there  
isn't such a place, someone should probably modify the matplotlib 3d  
cookbook. I'd be willing to do that but I'd first need to have a  
better understanding about the various functions' kwargs :-).

I'll append a case I used to generate an error, as well as the error  
reporting below. I'm also not quite sure how to use the errors that  
are reported to help me track down where the problems might be, so if  
anyone has some advice on that, it might help me better help myself  
in the future.

As always, thx,

--b


Example Code:
-
import copy
import pylab as P
import matplotlib.axes3d as P3
def test() :
 [X,Y] = P.meshgrid(P.linspace(-3,3,7),P.linspace(-3,3,7))
 Z = copy.deepcopy(X)
 Z1 = copy.deepcopy(X)
 for i in xrange(len(X)) :
 for j in xrange(len(X[0])) :
 Z[i][j] = X[i][j]*Y[i][j]
 Z1[i][j] = X[i][j]*Y[i][j] - 5
 P.close('all')
 fig = P.figure()
 ax = P3.Axes3D(fig)
 ax.Plot3D(ravel(X),ravel(Y),ravel(Z),c='r')

In [213]: T.test()
 
---
exceptions.AttributeErrorTraceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 


/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 
threeDa.py in test()
  11 Z1[i][j] = X[i][j]*Y[i][j] - 5
  12 P.close('all')
  13 fig = P.figure()
  14 ax = P3.Axes3D(fig)
---> 15 ax.Plot3D(ravel(X),ravel(Y),ravel(Z),c='red')

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes3d.py in __getattr__(self, k)
 660
 661 def __getattr__(self, k):
--> 662 return getattr(self.wrapped,k)
 663
 664 def __setattr__(self, k,v):

AttributeError: Axes3DI instance has no attribute 'Plot3D'
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes3d.py(662)__getattr__()
 661 def __getattr__(self, k):
--> 662 return getattr(self.wrapped,k)
 663

ipdb> 

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Re: [Matplotlib-users] 3d plotting question

2007-04-11 Thread belinda thom
Thanks for the input.

Its easy for me to patch my own machine, but for students in my class  
who are using lab machines, its more difficult. Hopefully I can get  
someone to upgrade the machines in the lab I'm using. (Its difficult  
to get facilities people to agree to update coursework installs mid- 
semester).

Morale of my story: don't expect 3d plotting to necessarily work / be  
easy if you don't carefully test it first :-(.

I too would be interested in robustifying / making more accessible  
the 3d stuff, but will have to wait until after the class I'm  
teaching ends.

--b


On Apr 11, 2007, at 6:57 PM, Tim Leslie wrote:

> Even in the lastest svn version these test methods are all broken to a
> greater or lesser degree (as I found out a couple of days ago). If I
> find time over the weekend I'll try to fix them up. In the mean time,
> if you change them to look something like
>
> fig = pylab.figure()
> ax = Axes3d(fig)
> ... etc
>
> it should get you one step closer to having them working. I'll post
> back here if/when I manage to get them cleaned up.
>
> Cheers,
>
> Tim
>


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Re: [Matplotlib-users] 3D plotting lines / markers / colors question

2007-04-11 Thread belinda thom
On Apr 11, 2007, at 4:54 PM, belinda thom wrote:

> Hi,
>
> What kwargs are available for plot3D and scatter3D?

And what is the difference between plot3d and plot3D?

The former seems most "matlab" like, and was what I was looking for:  
a way to plot individual points and/or curves in 3d using matlab- 
style line formatting info like:

'ro-'

or

'go--'

I'm posting this discovery here b/c it took me a long time to find  
(from the cookbook I somehow started using plot3D and didn't realize  
there was a plot3d).

I am still unsure what args you can pass into plot3D and scatter3D to  
achieve similar line control. If there's a high-level place this  
stuff is described, it would be beneficial.


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[Matplotlib-users] 3D plotting lines / markers / colors question

2007-04-11 Thread belinda thom
Hi,

What kwargs are available for plot3D and scatter3D?

Thanks,

--b

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Re: [Matplotlib-users] 3d plotting question

2007-04-11 Thread belinda thom
I also seem to have some other 3D plotting problems. Again, following  
some of the demo/test advice in the cookbook, I tried things like

   import pylab as p
   import matplotlib.axes3d as P3
   P3.test_surface()

and get errors (seems Axes3D needs a figure, no?).

I'm using matplotlib version 0.87.7.

Any ideas?

Thx,

--b


In [49]: P3.test_surface()
 
---
exceptions.TypeError Traceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 


/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes3d.py in test_surface()
 739
 740 def test_surface():
--> 741 ax = Axes3D()
 742
 743 X,Y,Z = get_test_data(0.05)

TypeError: __init__() takes at least 2 arguments (1 given)
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes3d.py(741)test_surface()
 740 def test_surface():
--> 741 ax = Axes3D()
 742

ipdb>

In [50]: P3.test_surface?
Type:   function
Base Class: 
String Form:
Namespace:  Interactive
File:   /Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/matplotlib/axes3d.py
Definition: P3.test_surface()
Docstring:
 


In [51]: P3.test_surface()
 
---
exceptions.TypeError Traceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 


/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes3d.py in test_surface()
 739
 740 def test_surface():
--> 741 ax = Axes3D()
 742
 743 X,Y,Z = get_test_data(0.05)

TypeError: __init__() takes at least 2 arguments (1 given)
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes3d.py(741)test_surface()
 740 def test_surface():
--> 741 ax = Axes3D()
 742

ipdb>

In [52]: P3.test_contour()
 
---
exceptions.TypeError Traceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 


/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes3d.py in test_contour()
 750
 751 def test_contour():
--> 752 ax = Axes3D()
 753
 754 X,Y,Z = get_test_data(0.05)

TypeError: __init__() takes at least 2 arguments (1 given)
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes3d.py(752)test_contour()
 751 def test_contour():
--> 752 ax = Axes3D()
 753

ipdb> 

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[Matplotlib-users] 3d plotting question

2007-04-11 Thread belinda thom
Hi,

I'm having problems plotting two different kind of graphs on the same  
3D figure. Was hoping for some pointers.

Here's some basic test code, to demonstrate what I'd like to be able  
to do.

import copy
import pylab as P
import matplotlib.axes3d as P3
def test() :
 [X,Y] = P.meshgrid(P.linspace(-3,3,7),P.linspace(-3,3,7))
 Z = copy.deepcopy(X)
 Z1 = copy.deepcopy(X)
 for i in xrange(len(X)) :
 for j in xrange(len(X[0])) :
 Z[i][j] = X[i][j]*Y[i][j]
 Z1[i][j] = X[i][j]*Y[i][j] - 5
 P.close('all')
 fig = P.figure()
 ax = P3.Axes3D(fig)
 ax.scatter3D(P.ravel(X),P.ravel(Y),P.ravel(Z))
 ax.set_xlabel('x')
 ax.set_ylabel('y')
 ax.set_zlabel('z=x*y')
 P.show()
 ax.plot3D(P.ravel(X),P.ravel(Y),P.ravel(Z1))
 P.show()

Which produces an autoscale_view kwarg error appended below. I've  
tried calling plot3D with scalex=False and scaleY=False but that  
doesn't fix the problem. I've also tried creating a new axis (e.g.  
ax1) and doing ax1.Plot3D to no avail. It seems to be an error w/in  
matplotlib, but perhaps I'm misusing something. I haven't been able  
to find much documentation for this at http://www.scipy.org/Cookbook/ 
Matplotlib/mplot3D so have resorted to playing around.

If anyone also knows how to pass color-marker info into scatter3D, I  
have been able to create two of those on the same figure, so being  
able to change the colors of each and just using scatter3D would be a  
reasonable hack for my situation.

Advice always appreciated,

--b

In [25]: T.test()
 
---
exceptions.TypeError Traceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 


/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 
threeD.py in test()
  18 ax.set_zlabel('z=x*y')
  19 P.show()
---> 20 ax.plot3D(P.ravel(X),P.ravel(Y),P.ravel(Z1))
  21 P.show()
  22

/Library/Frameworks/Python.framework/Versions/2.4/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 = self.has_data()
--> 490 lines = Axes.plot(self, xs,ys, *args, **kwargs)
 491 if len(lines)==1:
 492 line = lines[0]

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes.py in plot(self, *args, **kwargs)
2129 lines = [line for line in lines] # consume the  
generator
2130
-> 2131 self.autoscale_view(scalex=scalex, scaley=scaley)
2132 return lines
2133

TypeError: autoscale_view() got an unexpected keyword argument 'scalex'
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes.py(2131)plot()
2130
-> 2131 self.autoscale_view(scalex=scalex, scaley=scaley)
2132 return lines


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Re: [Matplotlib-users] 3d Plotting

2006-08-22 Thread rich kowalczyk
> The colors come from the current colormap.  You can go all out and
>  make your own colormap and color based on index using your map.  I
>  don't know how to do that off the top of my head though.

The colors may come from the colormap, but how do they get assigned to
areas of the plot itself?  The most obvious way to do it is to index
by z, so areas with low z are shown with a cool color, and areas with
high z are shown with a hot color (assuming you are using a cold-hot
colormap).

As far as I can tell though, this is not the system currently used,
nor is there any coherent system used.

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Re: [Matplotlib-users] 3d Plotting

2006-08-21 Thread Charlie Moad
The colors come from the current colormap.  You can go all out and
make your own colormap and color based on index using your map.  I
don't know how to do that off the top of my head though.

On 8/21/06, rich kowalczyk <[EMAIL PROTECTED]> wrote:
> I understand that 3D plotting is not fully working yet, but I have a
> question that might be answerable anyway.
>
> I can get a nice looking 3D plot of my data using
>
> surf = ax3d.plot_surface(x, y, z)
>
> but I can't control the colors used in the plot.  I can do a
>
> surf.set_array(ColorArray)
>
> and the contents of the array (ColorArray) will be translated into
> colors on the plot somehow, but the translation appears to be
> arbitrary.  Does anyone know how the translation is done, so that I
> can assign a certain color to a certain part of the plot?
>
> Thanks,
> Rich.
>
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[Matplotlib-users] 3d Plotting

2006-08-21 Thread rich kowalczyk
I understand that 3D plotting is not fully working yet, but I have a
question that might be answerable anyway.

I can get a nice looking 3D plot of my data using

surf = ax3d.plot_surface(x, y, z)

but I can't control the colors used in the plot.  I can do a

surf.set_array(ColorArray)

and the contents of the array (ColorArray) will be translated into
colors on the plot somehow, but the translation appears to be
arbitrary.  Does anyone know how the translation is done, so that I
can assign a certain color to a certain part of the plot?

Thanks,
Rich.

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