Thanks Daniele.
I am writing a small plotting function that can receive the index range as argument value.
like I have variables var1, var2, var3, var4, var5 which have exactly the same dimensions.
def plot_eg(index_range):
#here I need the function above which can use the index_range to retrieve data from variables
plot(func(var1,index_range)))
plot(func(var2,index_range))
plot(func(var3,index_range))
plot(func(var4,index_range))
plot(func(var5,index_range))
actually I can also put the [var1,var2,var3,var4,var5] as arguments in the plot_eg function so that I can pick any variables I want to plot as long as they have the same dimension. otherwise, I have to change the index_range for every variable.
cheers,
Chao
On 12/07/2012 23:32, Chao YUE wrote:I don't see the advantage of this approach over directly using the
> Thanks all for the discussion. Actually I am trying to use something
> like numpy ndarray indexing in the function. Like when I call:
>
> func(a,'1:3,:,2:4'), it knows I want to retrieve a[1:3,:,2:4], and
> func(a,'1:3,:,4') for a[1:3,:,4] ect.
> I am very close now.
sliced array as an argument of your function, as in func(a[1:3,:,4]).
Can you elaborate more why you are going through this route?
Cheers,
Daniele
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