Reading a non-uniform file into a single array in python-CodePudding

I am trying to read a single non csv file into a single array in python. I have tried np.loadtxt, however the data has columns of different widths and even skipping those, loadtxt returns arrays of line values that cannot be appended together.

CodePudding user response：

A simple read should be sufficient for now:

with open('data.txt') as fp:
    next(fp)  # skip first line (length)
    m = np.array(fp.read().strip().split()).astype(float)

Output:

>>> m
array([1.001000e-06, 1.545000e-06, 2.399000e-06, ..., 9.999984e-01,
       9.999984e-01, 1.000000e 00])

>>> m.dtype
dtype('float64')

>>> m.shape
(18050,)

Note the first line indicates 50 and 350. The length of the array is 18050.
This is the sum of 50 50 x 350. How to interpret this lines?