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 wrote:
> **
>
> *From:* quest
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 color
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.tr
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 wrote:
>
>
> On Sun, Nov 6, 2011 at 8:20 AM, Gousios George wrote:
>
>> Hello,
>> Is there a way?Like the title says?
>> I have a 2d list :
>> > [[ 0 1]
>> > [ 1 1]
>> > [
On Sun, Nov 6, 2011 at 8:20 AM, Gousios George 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 ma
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!
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