numpy.loadtxt跳过多行

使用help(np.loadtxt).你会发现skiprows参数将允许你跳过第一N行:

In [1]: import numpy as np

In [2]: help(np.loadtxt)
Help on function loadtxt in module numpy.lib.npyio:

loadtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)
    ...
    skiprows : int, optional
        Skip the first `skiprows` lines; default: 0.

因此,要跳过N行,你会说

np.loadtxt(fname, skiprows=N)

如果你需要过滤除第一 N行以外的行,那么使用np.genfromtxt哪一行可以使用一个迭代器,它产生字符串作为第一个参数:

with open(filename, 'r') as f:
    lines = (line for line in f if predicate(line))
    arr = np.genfromtxt(lines)

要跳过中间的一系列行,例如行47--50,您可以这样使用itertools:

import itertools as IT

with open(filename, 'r') as f:
    lines = IT.chain(IT.islice(f, 46), IT.islice(f, 4, None))
    arr = np.genfromtxt(lines)