[Tutor] index of elements in numpy array

[Bala subramanian]

Thank you all for the answer. Below, i have pasted a sample code that
shows what i am intending to do. The code fails at line 13 as numpy
array dnt have a index attribute.

  1 #!/usr/bin/env python
  2 import numpy as np
  3
  4 a=np.array([1,2,3,4,5,6,7,8,9,10,11,12])
  5
  6 b=np.reshape(a,(3,4))
  7
  8 z=[100,101,102,103,104,106,107,108,109,110,111,112]
  9
 10 # loop over each row
 11 for i1, d1 in enumerate(b):
 12     # each x in d1 - value in z corresponding to index of x in d1
 13     d1=[x-z[d1.index(x)] for x in d1]

If d1 is a simple list, i can fetch the index of its element as
d1.index(x). So i would like to know how can achieve the same with
numpy array.

Thanks once again,
Bala

On Fri, Sep 14, 2012 at 12:39 AM, Dave Angel <d at davea.name> wrote:
> On 09/13/2012 04:16 PM, Bala subramanian wrote:
>> Friends,
>> I have a 2D matrix (a numpy array) and i am looping over each row in
>> the matrix. I would like to know how i can find the index of each
>> element in a while looping a row. Is there any function in numpy.
>>
>> Thanks
>>
>
> Perhaps you're asking a more general question.  When iterating over a
> collection, sometimes you not only want the object, but you also want
> the index you might have used to fetch it.
>
> for row in rows:
>    dosomething with row
>
> for index, row in enumerate(rows):
>    dosomething with row and with index
>
> Now if rows be a list, or whatever numpy decides to call it, then you
> can manipulate the particular one with rows[index].
>
>
>
> --
>
> DaveA
>



-- 
C. Balasubramanian