2010/2/28 Robert Love <rblove_li...@comcast.net>: > What is the efficient numpy way to compare data from two different files? > For the nth line in each file I want to operate on the numbers. I've been > using loadtxt() > > data_5x5 = N.loadtxt("file5") > > data_8x8 = N.loadtxt("file8") > > for line in data_5x5: > pos5 = N.array([line[0], line[1], line[2]])
I believe there are several ways of doing that, and mine might not be the most efficient at all: for line5, line8 in zip(data_5x5, data_8x8): # line5 and line8 are row vectors of paired lines pass complete = numpy.hstack(data_5x5, data_8x8) # If data_5x5.shape[0] == data_8x8.shape[0], i.e., same number of rows. for line in complete: # complete is comprised of concatenated row vectors. pass for idx in xrange(0, min(data_5x5.shape[0], data_8x8.shape[0])): line5 = data_5x5[idx] line8 = data_8x8[idx] # Do sth with the vectors. Or: a1 = data_5x5[idx, (0, 1, 2)] # Extract items 0, 1, 2 of line idx of first file. a2 = data_8x8[idx, (0, 42)] # Extract items 0, 42 of line idx of second file. ... Friedrich _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion