Reading non-uniform data from file into array with NumPy

Here's a one-liner:

arrays = [np.array(map(int, line.split())) for line in open('scienceVertices.txt')]

arrays is a list of numpy arrays.

python file-io numpy

for line in textfile:  a = np.array([int(v) for v in line.strip().split(" ")])  # Work on your array

python file-io numpy

for line in f:    a = numpy.fromstring(line.strip(), dtype=int, sep=" ")

or -- if you want full flexibility -- even numpy.loadtxt():

for line in f:    a = numpy.loadtxt(StringIO.StringIO(line), dtype=int)

For long lines, these solution will perform better than the Python code in the other answers.

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