On Tue, Jun 3, 2008 at 10:35 PM, washakie <[EMAIL PROTECTED]> wrote:
> I guess I assumed there would be a way to 'nest' list
> comprehension somehow.
Sure, just nest them. You have:
tempDATA=[]
for i in data[stind:-1]:
tempDATA.append([float(j) for j in i.split()])
This has the form
tem
On Tue, 3 Jun 2008, washakie wrote:
2) I've done the following, but I doubt it is the most efficient method:
Is there a better way?
This looks good.
Wow, really? I guess I assumed there would be a way to 'nest' list
comprehension somehow.
I'm assuming you already have good familiarity w
Thank you again.
I can see your point about not wanting the tempDATA var hanging around, so I
guess this is better as a function. And yes, the transpose is for the 'next
step' - sorry if that cause anyone confusion.
Danny Yoo-3 wrote:
>
>
> If you already have the values as a list of rows, w
I actually thought this would be as simple as the 'load' command to get
the data in from a file. But I just couldn't find the documentation
online to do it once i have the data already 'inside' of python as a
list. So, my options are:
Hello,
If you already have the values as a list of rows, w
Thanks,
I'm not really trying to create a function. I actually thought this would be
as simple as the 'load' command to get the data in from a file. But I just
couldn't find the documentation online to do it once i have the data already
'inside' of python as a list. So, my options are:
1) write
Hello, I have a list of strings:
data =
[ '33386.472.22-1.11 0.43'
'33386.67 3.33 -1.23 0.54'
...
'46728.470.1-1.87-0.54'
'46728.479.75.680.38'
'46729.47-0.17-0.470.23']
I wish to convert it to a numpy array of floats. How do I accomplish
th
washakie wrote:
Hello, I have a list of strings:
data =
[ '33386.472.22-1.11 0.43'
'33386.67 3.33 -1.23 0.54'
...
'46728.470.1-1.87-0.54'
'46728.479.75.680.38'
'46729.47-0.17-0.470.23']
If the above is intended to be Python code, it ha
Hello, I have a list of strings:
data =
[ '33386.472.22-1.11 0.43'
'33386.67 3.33 -1.23 0.54'
...
'46728.470.1-1.87-0.54'
'46728.479.75.680.38'
'46729.47-0.17-0.470.23']
I wish to convert it to a numpy array of floats. How do I accomplish t
