On Fri, Jul 13, 2012 at 9:24 AM, Robert Kern wrote:
> On Thu, Jul 12, 2012 at 10:32 PM, Chao YUE wrote:
>> 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
Thanks Robert. This is exactly what I want. I have a feeling that there
must be something in numpy that can do the job and I didn't know. Thanks
again,
Chao
2012/7/13 Robert Kern
> On Thu, Jul 12, 2012 at 10:32 PM, Chao YUE wrote:
> > Thanks all for the discussion. Actually I am trying to use
On Thu, Jul 12, 2012 at 10:32 PM, Chao YUE wrote:
> 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.
>
On Thu, Jul 12, 2012 at 2:32 PM, Chao YUE wrote:
> 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.
why do the string packing/unpacking? why not use an interface much
like the
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
re
On 12/07/2012 23:32, Chao YUE wrote:
> 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 clo
Benjamin Root ou.edu> writes:
[clip]
> a[sl] and a[3:5, 5:14] is equivalent to
> sl = (slice(3, 5), slice(5, 14))
> a[sl]
[clip]
which is also equivalent to
sl = np.s_[3:5, 5:14]
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On Thursday, July 12, 2012, Chao YUE wrote:
> 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
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.
#so this function changes the string to
On Thu, Jul 12, 2012 at 4:46 PM, Chao YUE wrote:
> Hi Ben,
>
> it helps a lot. I am nearly finishing a function in a way I think
> pythonic.
> Just one more question, I have:
>
> In [24]: b=np.arange(1,11)
>
> In [25]: b
> Out[25]: array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>
> In [26]: b[sl
On 07/12/2012 04:46 PM, Chao YUE wrote:
> Hi Ben,
>
> it helps a lot. I am nearly finishing a function in a way I think
> pythonic.
> Just one more question, I have:
>
> In [24]: b=np.arange(1,11)
>
> In [25]: b
> Out[25]: array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>
> In [26]: b[slice(1)]
>
On Thu, Jul 12, 2012 at 9:46 PM, Chao YUE wrote:
> Hi Ben,
>
> it helps a lot. I am nearly finishing a function in a way I think pythonic.
> Just one more question, I have:
>
> In [24]: b=np.arange(1,11)
>
> In [25]: b
> Out[25]: array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>
> In [26]: b[slice
Hi Ben,
it helps a lot. I am nearly finishing a function in a way I think pythonic.
Just one more question, I have:
In [24]: b=np.arange(1,11)
In [25]: b
Out[25]: array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
In [26]: b[slice(1)]
Out[26]: array([1])
In [27]: b[slice(4)]
Out[27]: array([1, 2,
On Thu, Jul 12, 2012 at 3:38 PM, Chao YUE wrote:
> Dear all,
>
> I want to create a function and I would like one of the arguments of the
> function to determine what slicing of numpy array I want to use.
> a simple example:
>
> a=np.arange(100).reshape(10,10)
>
> suppose I want to have a imaging
Dear all,
I want to create a function and I would like one of the arguments of the
function to determine what slicing of numpy array I want to use.
a simple example:
a=np.arange(100).reshape(10,10)
suppose I want to have a imaging function to show image of part of this
data:
def show_part_of_da
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