[Numpy-discussion] printing array in tabular form

[Jonathan Slavin]

Sudheer,

This is not really numpy specific.  There are many options for output
formatting in python.  For the specific question you have, you could do:

print '{0}{1:8.3f}{2:8.3f}{3:8.3f}{4:8.3f}{5:8.3f}'.format(s,x1,x2,x3,x4,x5)

format is a built-in python string method (see python docs). The one
thing that I will agree with you on is that, as far as I know, there is
no repeat count mechanism.  There are tricky ways around that, e.g.
fmt = '{0}' + ''.join(['{'+str(i)+':8.3f}' for i in range(1,6)])
print fmt.format(s,x1,x2,x3,x4,x5)
though not as simple as the fortran output statement.

Jon

On Fri, 2013-05-10 at 17:14 +0800, Sudheer Joseph wrote:
> Thank you,
>               But I was looking for  a format statement likw
> write(*,"(A,5F8.3)")
> with best regards,
> Sudheer
>  
> ***************************************************************
> Sudheer Joseph 
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>         
>         ______________________________________________________________
>         From: Daπid <davidmenhur at gmail.com>
>         To: Discussion of Numerical Python
>         <numpy-discussion at scipy.org> 
>         Sent: Thursday, 9 May 2013 2:29 PM
>         Subject: Re: [Numpy-discussion] printing array in tabular form
>         
>         
>         On 9 May 2013 10:06, Sudheer Joseph <sudheer.joseph at yahoo.com>
>         wrote:
>         > However writing a formatted out put looks to be bit tricky
>         with python
>         > relative to other programing languages.
>         
>         If performance is not an issue, you could do it by hand, as
>         you can
>         always do in any programming language:
>         
>         
>         savefile = open('data.txt', 'w')
>         N = len(IL)
>         
>         for start in xrange(N/5):
>           if start+5 > N:
>             end = N
>           else:
>             end = start+5
>           print >> savefile, IL[start : end]
>         
>         
>         But this is actually more verbose, and once you get into NumPy
>         workflow, it is actually simple.
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>         
>         
>         

-- 
______________________________________________________________
Jonathan D. Slavin              Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu         60 Garden Street, MS 83
phone: (617) 496-7981           Cambridge, MA 02138-1516
 cell: (781) 363-0035           USA
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