python中非均匀行数据的解析

2024-05-14 19:31:28 发布

您现在位置:Python中文网/ 问答频道 /正文

我有一个数据集,我想分析它。我想拉出特定的列,然后在非均匀行前后分隔它们。下面是我的数据的示例:请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

我以前问过一个问题(Parsing specific columns from a dataset in python)将这些数据解析为列,但是列只显示列中的项数,而不显示项本身。在

我意识到这是两个不同的问题(分为列,在非统一行之前和之后分开),但是如果有任何关于解析的帮助,我们将不胜感激!在


Tags: 数据nameimage示例objectdisplaywidthat
2条回答

如果要省略非均匀线,只需检查每行的长度:

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

直截了当的想法:

您可以对原始文件进行预处理以跳过所有不相关的行,例如:

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)

然后使用pandas或其他方法处理filtered.txt干净的数据。


^{pr2}$

这里提供了丑陋但可行的分离。基本上就是找到0并跳过这些行。

相关问题 更多 >

    热门问题