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 > Indian National Centre for Ocean Information Services > Ministry of Earth Sciences, Govt. of India > POST BOX NO: 21, IDA Jeedeemetla P.O. > Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 > Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), > Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) > E-mail:sjo.in...@gmail.com;sudheer.jos...@yahoo.com > Web- http://oppamthadathil.tripod.com > *************************************************************** > > ______________________________________________________________ > From: Daπid <davidmen...@gmail.com> > To: Discussion of Numerical Python > <numpy-discussion@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.jos...@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. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > -- ______________________________________________________________ Jonathan D. Slavin Harvard-Smithsonian CfA jsla...@cfa.harvard.edu 60 Garden Street, MS 83 phone: (617) 496-7981 Cambridge, MA 02138-1516 cell: (781) 363-0035 USA ______________________________________________________________ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion