[Numpy-discussion] Reading and Comparing Two Files
Sun Feb 28 06:24:36 CST 2010
2010/2/28 Robert Love <firstname.lastname@example.org>:
> 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, line, line])
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
complete = numpy.hstack(data_5x5, data_8x8) # If data_5x5.shape ==
data_8x8.shape, i.e., same number of rows.
for line in complete:
# complete is comprised of concatenated row vectors.
for idx in xrange(0, min(data_5x5.shape, data_8x8.shape)):
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
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