Re: best way to do this

[thor]

On Dec 2, 10:09 pm, TP <[EMAIL PROTECTED]> wrote:
> Hi everybody,
>
> >>> c=[(5,3), (6,8)]
>
> From c, I want to obtain a list with 5,3,6, and 8, in any order.
> I do this:
>
> >>> [i for (i,j) in c] + [ j for (i,j) in c]
>
> [5, 6, 3, 8]
>
> Is there a quicker way to do this?
>

>>> c = [(5, 3), (6, 8)]
>>> [x for t in zip(*c) for x in t]
[5, 6, 3, 8]
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Re: list comprehension question

[thor]

On May 1, 2:28 pm, Arnaud Delobelle  wrote:
> Ross  writes:
> > If I have a list of tuples a = [(1,2), (3,4), (5,6)], and I want to
> > return a new list of each individual element in these tuples, I can do
> > it with a nested for loop but when I try to do it using the list
> > comprehension b = [j for j in i for i in a], my output is b =
> > [5,5,5,6,6,6] instead of the correct b = [1,2,3,4,5,6]. What am I
> > doing wrong?
>
> When writing nested list comprehension, the for loops are in the same
> order as you would write a normal nested for loop (which is not
> necessarily intuitive when you first find out but is very handy in the
> long run I think).
>
> So write:
>
>     [j for i in a for j in i]
>
> --
> Arnaud
an trick
>>> a
[(1, 2), (3, 4), (5, 6)]
>>> sum(a, ())
(1, 2, 3, 4, 5, 6)
>>>
you may search the maillist , somebody questioned before
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Parallel python + ??

[Thor]

Hi,

I am running a program using Parallel Python and I wonder if there is a
way/module to know in which CPU/core the process is running in. Is that
possible?

Ángel
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Re: Parallel python + ??

[Thor]

Gerhard Häring wrote:

> This is of course OS-specific. On Linux, you can parse the proc
> filesystem:
> 
>  >>> open("/proc/%i/stat" % os.getpid()).read().split()[39]
> 
> You can use the "taskset" utility to query or set CPU affinity on Linux.
> 
It is going to be in Linux (mainly) I was thinking about something like
this:

import Module

def process(self):
  print "I am running on processor", Module.cpu,"core", Module.core
  


Checking the raskset right now...:) Thanks.
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Re: More like a shell command.

[Thor]

Maybe this module would work fine:

http://docs.python.org/lib/module-cmd.html

--
Angel
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Data peeping function?

[Thor Whalen]

The first thing I do once I import new data (as a pandas dataframe) is to 
.head() it, .describe() it, and then kick around a few specific stats according 
to what I see.

But I'm not satisfied with .describe(). Amongst others, non-numerical columns 
are ignored, and off-the-shelf stats will be computed for any numerical column.

I've been shopping around for a "data peeping" function that would:

(1) Have a hands-off mode where simply typing
   diagnose_this(data)
the function would figure things out on its own, and notify me when in doubt. 
For example, would assume that any string data with not too many unique values 
should be considered categorical and appropriate statistics erected.

(2) Perform standard diagnoses and print them out. For example, (a) missing 
values? (b) heterogeneously formatted data? (c) columns with only one unique 
value? etc.

(3) Be parametrizable, if I so choose.

Does anyone know of such a function?
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Re: Access lotus notes using Python

[Thor Arne Johansen]

Sateesh wrote:
> Hi,
> Is it possible to access Lotus notes using Python? Can anyone provide me
> some pointers?
> 
> Thanks
> Sateesh
> 
> 

NotesSQL is an ODBC driver for Notes.

Using NotesSQL and a python odbc connection you can use the standard 
python db-api2 to access tables.

(Examples of odbc connection: mxODBC or the odbc provided by win32all)

HTH,

Thor Arne Johansen
Technical Director
Ibas AS

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