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no that didn't work and I am back to thinking it is not the dates fault,
this is because if I only choose a section of my array that I know doesn't
have any NANs it works fine. Is there a way to tell is to skip/ignore these?

On Sat, Nov 5, 2011 at 8:50 AM, Stan West <sta...@nr...> wrote:

> **
>
> *From:* questions anon [mailto:que...@gm...]
> *Sent:* Wednesday, November 02, 2011 17:17
>
>  Thanks, I think you are right about the datetimes for the x axis causing
> the problem.
> Does anyone have any ideas how to resolve this?
>
>  Does it help to call ax.xaxis_date() before your calls to plt.plot()?
>

Like in Basemap examples:
http://matplotlib.github.com/basemap/users/examples.html (topographic
image in the middle of page) ground 0 has some yellow/orange color
making seas and oceans coasts in that same, color instead light blue
(as we'd all expect I guess)

So how to shift this particular colormap (cm.GMT_haxby) up a bit, so
that I get expected colors?

/usr/lib/pymodules/python2.7/mpl_toolkits/mplot3d/axes3d.pyc in
set_autoscale_on(self, b)
    252         """
    253         Axes.set_autoscale_on(self, b)
--> 254         self.set_autoscalez_on(self, b)
    255
    256     def set_autoscalez_on(self, b) :

TypeError: set_autoscalez_on() takes exactly 2 arguments (3 given)


I believe there is one self too much.

Regards
Stefan

Thanks!
Now,it's better it gives me my 10 points but it supposed to give me the 
2 axes with values from 0-1000,but they are not.

data=[]
for i in range(0,1000,100):
     mydata=(sc.array([i,rw1.MeanSquareDistance1d(i,np)])).tolist()
     data.append(mydata)
print(data)
fig3=plt.figure()
x,y=sc.transpose(data)
plt.plot(x,y,'bo')
plt.show()

(It isn't affected if i do plt.axis([0, 1000, 0, 1000])

You can also do

x,y = zip(*pts)

If you don't feel like importing numpy.

Ben

On Sun, Nov 6, 2011 at 12:49 PM, Tony Yu <ts...@gm...> wrote:

>
>
> On Sun, Nov 6, 2011 at 8:20 AM, Gousios George <gg...@wi...>wrote:
>
>> Hello,
>> Is there a way?Like the title says?
>> I have a 2d list  :
>> > [[ 0  1]
>> >  [ 1  1]
>> >  [ 1  0]
>> >  [ 2  0]
>> >  [ 1  0]
>> >  [ 2  0]
>> >  [ 1  0]
>> >  [ 0  0]
>> >  [ 1  0]
>> >  [ 1 -1]]
>>
>> and  i want to do the "listplot' from mathematica.
>>
>
> I don't know of a plot function to do this, but one extra line of code
> should suffice:
>
> pts = [[0, 1],
>     [1, 1],
>     [1, 0],
>     [2, 0],
>     [1, 0],
>     [2, 0],
>     [1, 0],
>     [0, 0],
>     [1, 0],
>     [1,-1]]
> x, y = np.transpose(pts)
> plt.plot(x, y)
>
>
> Best,
> -Tony
>
>
>
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>

On Sun, Nov 6, 2011 at 8:20 AM, Gousios George <gg...@wi...>wrote:

> Hello,
> Is there a way?Like the title says?
> I have a 2d list  :
> > [[ 0  1]
> >  [ 1  1]
> >  [ 1  0]
> >  [ 2  0]
> >  [ 1  0]
> >  [ 2  0]
> >  [ 1  0]
> >  [ 0  0]
> >  [ 1  0]
> >  [ 1 -1]]
>
> and  i want to do the "listplot' from mathematica.
>

I don't know of a plot function to do this, but one extra line of code
should suffice:

pts = [[0, 1],
    [1, 1],
    [1, 0],
    [2, 0],
    [1, 0],
    [2, 0],
    [1, 0],
    [0, 0],
    [1, 0],
    [1,-1]]
x, y = np.transpose(pts)
plt.plot(x, y)


Best,
-Tony

Hello,
Is there a way?Like the title says?
I have a 2d list  :
> [[ 0  1]
>  [ 1  1]
>  [ 1  0]
>  [ 2  0]
>  [ 1  0]
>  [ 2  0]
>  [ 1  0]
>  [ 0  0]
>  [ 1  0]
>  [ 1 -1]]

and  i want to do the "listplot' from mathematica.

Thanks!

Hi,

I was wondering this about 2 years ago [
http://old.nabble.com/Gradient-color-on-a-line-object-td25630375.html]
Just today, I have found a very simple way to do this in mpl.

x = np.linspace(0, 2*np.pi, 3600)
y = np.sin(x)
plt.scatter(x,y,c=range(len(x)), marker='_', s=1)

Setting the marker to underscore character and choosing a relatively low
size value makes the line appear just like I wanted.  (Provided, using
lengthy data points)

Is this a very known trick? If not so, what is your favorite color gradient
approach for a simple plot?

Cheers,

-- 
Gökhan

Hi,

These two links seem to be broken here:

http://matplotlib.sourceforge.net/examples/api/demo_affine_image_00.html

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_tight_layout_00.html