Travis E. Oliphant ? ?: > auditory wrote: >> I am a newbie here >> >> I am trying to read "space separated floating point data" from file >> >> I read about csv module by searching this group, >> but I couldn't read space separated values with csv. >> (which may be matter of course..) >> >> I also read about numpy.fromfile(file, sep=' ') which i can use. >> but on my machine(ubuntu linux) numpy is unknown module, >> which I didn't install by myself. > > You will need to install NumPy. > >> >> While trying to install numpy accroding to its homepage. >> (http://numpy.scipy.org/numpydoc/numdoc.htm). >> i am quite confused. > > You are reading old documentation for Numeric and so any installation > description is how to install the Numeric module (not its newer > replacement which is called NumPy). > > > So: > > 1) Yes, you need NumPy > 2) This *is different* from Numeric > 3) You get it by either installing a pre-built package for your system > or by > > a) downloading the source tar-file from > http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103 > > (get the numpy-<version>.tar.gz file > b) tar zxvf numpy-<version>.tar.gz > c) cd numpy-<version> > d) sudo python setup.py install > > e) If you want to link against high-performance libraries on your > system, then either put them in standard locations or edit the site.cfg > file appropriately (Optional). > >> >> 4. Or what is general way to read 'space separated values' from file? > > You can easily read space-separated values from a file by reading in a > line at a time and using the split method of strings: > > fid = open('filename') > linedata = fid.readlines() > new = [[float(x) for x in line.split()] for line in linedata] > > new will be a nested sequence of floats. You can convert it to an array > (if you want to do math on it) using > > anew = numpy.array(new) > > -Travis > Thank you for quick answer..
I found the above website from googling with "numpy" keyword, and supprised at that the top matching page is old one. In addition to your method and below one, I found csv moudule can do this with "delimiter" paramter. I made mistake not to read manual first. My apology on that. -- http://mail.python.org/mailman/listinfo/python-list
