在python中解析具有非均匀行的数据

Question

我有一个数据集，我想对其进行解析以对其进行分析。我想拉出特定的列，然后在非均匀行之前和之后将它们分开。这是我的数据的示例：注意中间的三行与其他行的格式不匹配：

1386865618963   1   M   subject_avatar  3.636229    1.000000    5.422941    30.200327   0.000000    0.000000
1386865618965   1   M   subject_avatar  3.631835    1.000000    5.415390    30.200327   0.000000    0.000000
1386865618966   2   M   subject_avatar  3.627432    1.000000    5.407826    30.200327   0.000000    0.000000
1386865618968   1   M   subject_avatar  3.625223    1.000000    5.404030    30.200327   0.000000    0.000000
1386865618970   1   M   subject_avatar  3.620788    1.000000    5.396411    30.200327   0.000000    0.000000
1386865618970   0   D   4345048336
1386865618970   0   D   4345763672
1386865618971   0   I   BOXGEOM (45.0, 0.0, -45.0, 19.0, 3.5, 19.0) {'callback': <bound method YCEnvironment.dropoff of <navigate.YCEnvironment instance at 0x103065440>>, 'cbargs': (0, {'width': 1.75, 'image': <pyepl.display.Image object at 0x102f9da90>, 'height': 4.75, 'volbitSize': (0.5, 0.71999999999999997), 'name': 'Julia'}, {'width': 0.69999999999999996, 'name': 'Flower Patch', 'realpos': (45.0, 0.0, -45.0), 'image': <pyepl.display.Image object at 0x102fc3f50>, 'realsize': (7.0, 3.5, 7.0), 'type': 'store', 'volbitSize': (0.5, 0.5), 'height': 0.34999999999999998}), 'permiable': True}  4926595152
1386865618972   1   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865618992   2   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865618996   1   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865618998   2   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865619002   1   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865619005   1   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000
1386865619008   1   M   subject_avatar  3.621182    1.000000    5.396492    30.200327   0.000000    0.000000

我之前问了一个问题 (Parsing specific columns from a dataset in python) 来将这些数据解析成列，但是，这些列只显示列中的项目数，而不是项目本身。

我意识到这是两个不同的问题（分成列，在不统一的行之前和之后分开），但是任何有关解析的帮助都将不胜感激！

Answer 1

如果你想省略不均匀的行，你可以简单地检查每一行的长度：

rows = []
for line in lines:
    row = line.split()
    if len(row) == 10:
        rows.append(row)

Answer 2

一个直截了当的想法：

您可以预处理原始文件以跳过所有不相关的行，也许：

with open('raw.txt', 'r') as infile:
    f = infile.readlines()
    with open('filtered.txt', 'w') as outfile:
        for line in f:
            if 'subject_avatar' in line: # or other better rules
                outfile.write(line)

然后您使用pandas 或其他方式处理filtered.txt 的干净数据。

---

with open('d.txt', 'r') as infile:
    f = infile.readlines()
    with open('filtered_part1.txt', 'w') as outfile:
        for i in range(len(f)):
            line = f[i]
            if line[16] == '0':
                i += 1
                break
            outfile.write(line)
    while f[i][16] == '0': # skip a few lines
        i += 1
    with open('filtered_part2.txt', 'w') as outfile:
        while i < len(f):
            outfile.write(f[i])
            i += 1

这里提供了丑陋但可行的分离。基本上是找到0并跳过行。