[MATRIX-SIG] Final NumPy 1.0

[Janko Hauser]

I understand that sys.input is something to facilitate the reading
from standard in to build command line tools and scripts which get
used in pipes.

I use currently this code, which unfortunatly needs sscanfmodule. But
it's the fastes way to read ``trusted'' data (No testing for to big,
equally formated)

def read_table(fname,header=0):
    """read_table(filename,header=number_of_header_lines)

    Reads from filename number_of_fields numbers per line
    to end of file. If number of num_fields per line doesn't
    match, skip line"""
    
    from sscanf import sscanf
    import string

    try:
        fp=open(fname,'r')
    except:
        print "Can't open file or wrong filename in function read_table"
        return
    
    scanline='%f'
    lines = fp.readlines()
    n=len(string.split(lines[header]))
    new_table=ones((len(lines)-header,n),typecode = Float)
    while n-1:
        n=n-1
        scanline=scanline+' %f'
    for item in xrange(len(lines)-header):
        a=array(sscanf(lines[item],scanline))
        new_table[item,:] = a

    return(new_table)

Has someone something faster, or really sophisticated?
(sscanf is much faster with the conversion of string to float, I
tested this only with 1.4 not 1.5, where the string handling should be
faster)

__Janko


Mike Miller writes:
 > >>>>> "janko" == Janko Hauser <jhauser@ifm.uni-kiel.de> writes:
 >     > I think there should be included some code to read and
 >     > write some ascii-data. Everybody has some data lying
 >     > around, with which he/she wants to work.
 > 
 > There was a discussion about this on comp.lang.python a few weeks
 > ago.  The subject was "Proposal: sys.input()".  Some code was
 > posted there...
 > 
 > Mike

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