arrays

[Rahul Garg]

Hi.
Is there someway i can get something similar to multi-dimensional
arrays in python.I dont want to use Numarray.
rahul

[John Hunter]

Re: arrays

>>>>> "Rahul" == Rahul Garg <codedivine@gma il.com> writes:

Rahul> Hi. Is there someway i can get something similar to
Rahul> multi-dimensional arrays in python.I dont want to use
Rahul> Numarray

Yes, you can use lists of lists for example.

x = [ [None for i in range(10)] for j in range (12)]
x[1][2] = 1

But it would help if you stated what your requirements are for the
multi-dim array, what kind of objects you want to store in them, what
kind of operations you need to be able to do, what your performance
requirements are, and why you don't want to use numarray or Numeric
for that matter.


JDH

[Diez B. Roggisch]

Re: arrays

Rahul Garg wrote:
[color=blue]
> Hi.
> Is there someway i can get something similar to multi-dimensional
> arrays in python.I dont want to use Numarray.
> rahul[/color]

Use lists in lists.
[color=blue][color=green][color=darkred]
>>> foo = [[1,2], [3,4]]
>>> print foo[0][1][/color][/color][/color]
2


--
Regards,

Diez B. Roggisch

[Scott David Daniels]

Re: arrays

Robert Kern wrote:[color=blue]
> Rahul Garg wrote:[color=green]
>> 1. I will mostly be storing floating point numbers in 2 dimensional
>> arrays which i will pass to a custom module written in C. The
>> application is for scientific computing purposes.I just need python +
>> wxPython for the GUI.
>>
>> 2.I am not using Numarray because i dont expect to do many operations
>> on the matrices in Python itself. Most of that stuff will be handled
>> in my C module.[/color]
>
> You still might want to use numarray or Numeric in this case. The memory
> representation of a numarray/Numeric array is the same as in C. You
> won't have to duplicate memory and waste time converting between a
> memory block of doubles and lists of lists of Python floats.[/color]

If you want to refer to a block of memory that you share with your C
code (especially if the C code controls the memory, you might also want
to check out my "Blocks and Views" code at:

http://members.dsl-only.net/~daniels/block.html

-Scott David Daniels
Scott.Daniels@A cm.Org

[Carl Banks]

Re: arrays

codedivine@gmai l.com (Rahul Garg) wrote in message news:<a2f50cd.0 411151042.45487 164@posting.goo gle.com>...[color=blue]
> Hi.
> Is there someway i can get something similar to multi-dimensional
> arrays in python.I dont want to use Numarray.
> rahul[/color]

It seems (from other posts) as if you're looking for a way to get
simple multidimensiona l array behavior in Python, while making
convenient to access it in C, without using numarray or Numeric.

Probably the simplest way to accomplish this without numarray is to
use a class to wrap a list. Override __getitem__ and __setitem__ to
get the effect of multidimensiona l access. Because the data is stored
in a single list, rather than a list of lists, it is convenient to
access it from C. A minimal example follows.

class MinimalMultiArr ay:
def __init__(self,r ows,cols):
self.rows = rows
self.cols = cols
self.data = [0.0] * self.rows * self.cols
def __getitem__(sel f,(row,column)) :
return self.data[row*self.cols + column]
def __setitem__(sel f,(row,column), value):
self.data[row*self.cols + column] = value

Notice that Python can unwrap tuples right into function arguments, so
if you reference array[1,2], in __getitem__, row will be set to one
and column to two.

Any improvements left as an exercise. Here's a suggestion: check
whether row and column arguments are slice objects, and return a list
or a smaller multidimensiona l array if so.


--
CARL BANKS

[Scott David Daniels]

Re: arrays

Scott David Daniels wrote:[color=blue]
> If you want to refer to a block of memory that you share with your C
> code (especially if the C code controls the memory, you might also want
> to check out my "Blocks and Views" code at:
>
> http://members.dsl-only.net/~daniels/block.html[/color]

To follow up on my own post, once you have a View v of, say, 100
floating point data entries:
[color=blue][color=green][color=darkred]
>>> multidim = [v[x : x+1] for x in range(0, 100, 10)]
>>> revdim = [v[x : 100 : 10] for x in range(10)]
>>> v[27][/color][/color][/color]
43.6[color=blue][color=green][color=darkred]
>>> multidim[2][7][/color][/color][/color]
43.6[color=blue][color=green][color=darkred]
>>> revdim[7][2][/color][/color][/color]
43.6[color=blue][color=green][color=darkred]
>>> multidim[2][7] = 19.1
>>> multidim[2][7][/color][/color][/color]
19.1[color=blue][color=green][color=darkred]
>>> revdim[7][2][/color][/color][/color]
19.1[color=blue][color=green][color=darkred]
>>> v[27][/color][/color][/color]
19.1

That is, you maintain the mapping to the original memory when taking
strides. All subscript operations change how the memory is referenced,
not take copies of the memory.

--Scott David Daniels
Scott.Daniels@A cm.Org

[Isaac To]

Re: arrays

>>>>> "Rahul" == Rahul Garg <codedivine@gma il.com> writes:

Rahul> Hi. Is there someway i can get something similar to
Rahul> multi-dimensional arrays in python.I dont want to use
Rahul> Numarray.

Is an array of array sufficient? Thinks like [[0]*5]*3.

Regards,
Isaac.

[Duncan Booth]

Re: arrays

Isaac To wrote:
[color=blue][color=green][color=darkred]
>>>>>> "Rahul" == Rahul Garg <codedivine@gma il.com> writes:[/color][/color]
>
> Rahul> Hi. Is there someway i can get something similar to
> Rahul> multi-dimensional arrays in python.I dont want to use
> Rahul> Numarray.
>
> Is an array of array sufficient? Thinks like [[0]*5]*3.
>[/color]
You were right to call that an array of array (singular): what you
suggested creates a list containing 3 references to the same list. I
suspect the OP is much more likely to want an array of arrays (plural).

The cleanest way these days is to use a list comprehension for all but the
innermost list (provided the initial value is immutable):

[[0]*5 for i in range(3)]

or, if you want something mutable or more complex for an initial value you
can just use list comprehensions throughout e.g.:

[ [(i*100+j) for i in range(5)] for j in range(3) ]