例如，我具有以下格式的数据文本：
HEADER NODE DATA, AIR
-10000, 15., -1.0
HEADER CONDUCTOR DATA, AIR
1, AIR.10000, S25D.1, 56.84441 $ AIR CONV
2, AIR.10000, S25D.2, 56.45712 $ AIR CONV
3, AIR.10000, S25D.3, 53.35623 $ AIR CONV
4, AIR.10000, S25D.4, 45.09633 $ AIR CONV
5, AIR.10000, S25D.9, 77.00067 $ AIR CONV
6, AIR.10000, S25D.10, 80.35013 $ AIR CONV
7, AIR.10000, S25D.11, 50.4933 $ AIR CONV
8, AIR.10000, S25D.12, 91.61026 $ AIR CONV
9, AIR.10000, S25D.13, 53.75025 $ AIR CONV
10, AIR.10000, S25D.14, 75.68577 $ AIR CONV
11, AIR.10000, S25D.15, 110.0111 $ AIR CONV
12, AIR.10000, S25D.16, 114.7913 $ AIR CONV
13, AIR.10000, S25D.17, 81.12207 $ AIR CONV
14, AIR.10000, S25D.18, 72.80061 $ AIR CONV
15, AIR.10000, S25D.19, 72.21327 $ AIR CONV
16, AIR.10000, S25D.20, 90.99183 $ AIR CONV
17, AIR.10000, S25D.21, 66.35648 $ AIR CONV
18, AIR.10000, S25D.22, 76.9787 $ AIR CONV
19, AIR.10000, S25D.23, 52.46601 $ AIR CONV
20, AIR.10000, S25D.24, 68.30105 $ AIR CONV
21, AIR.10000, S25D.25, 114.0903 $ AIR CONV
22, AIR.10000, S25D.26, 70.51425 $ AIR CONV
23, AIR.10000, S25D.27, 36.39104 $ AIR CONV
24, AIR.10000, S25D.28, 78.88668 $ AIR CONV
25, AIR.10000, S25D.29, 70.77477 $ AIR CONV
26, AIR.10000, S25D.30, 87.04871 $ AIR CONV
27, AIR.10000, S25D.31, 64.50918 $ AIR CONV
28, AIR.10000, S25D.32, 76.20373 $ AIR CONV
29, AIR.10000, S25D.33, 90.69899 $ AIR CONV
30, AIR.10000, S25D.34, 83.89708 $ AIR CONV
31, AIR.10000, S25D.35, 88.59924 $ AIR CONV
32, AIR.10000, S25D.36, 72.06826 $ AIR CONV
33, AIR.10000, S25D.65, 157.6095 $ AIR CONV
34, AIR.10000, S25D.66, 140.3513 $ AIR CONV
35, AIR.10000, S25D.67, 215.1395 $ AIR CONV
36, AIR.10000, S25D.68, 131.7191 $ AIR CONV
37, AIR.10000, S25D.69, 173.7129 $ AIR CONV
38, AIR.10000, S25D.70, 106.8654 $ AIR CONV
39, AIR.10000, S25D.71, 153.2247 $ AIR CONV
40, AIR.10000, S25D.72, 151.2406 $ AIR CONV
41, AIR.10000, S25D.73, 136.0113 $ AIR CONV
42, AIR.10000, S25D.74, 217.2005 $ AIR CONV
43, AIR.10000, S25D.75, 121.0298 $ AIR CONV
44, AIR.10000, S25D.76, 178.8008 $ AIR CONV
45, AIR.10000, S25D.77, 160.7517 $ AIR CONV
46, AIR.10000, S25D.78, 132.528 $ AIR CONV
47, AIR.10000, S25D.79, 126.503 $ AIR CONV
48, AIR.10000, S25D.80, 223.1756 $ AIR CONV
49, AIR.10000, S25D.81, 151.6868 $ AIR CONV
50, AIR.10000, S25D.82, 176.8964 $ AIR CONV
51, AIR.10000, S25D.83, 155.6967 $ AIR CONV
52, AIR.10000, S25D.84, 153.6341 $ AIR CONV
53, AIR.10000, S25D.85, 110.9477 $ AIR CONV
54, AIR.10000, S25D.86, 165.114 $ AIR CONV
55, AIR.10000, S25D.87, 139.9079 $ AIR CONV
56, AIR.10000, S25D.88, 137.9431 $ AIR CONV
57, AIR.10000, S25D.89, 138.1562 $ AIR CONV
58, AIR.10000, S25D.90, 204.7094 $ AIR CONV
59, AIR.10000, S25D.91, 159.8541 $ AIR CONV
60, AIR.10000, S25D.92, 174.5026 $ AIR CONV
61, AIR.10000, S25D.93, 160.5398 $ AIR CONV
62, AIR.10000, S25D.94, 143.0478 $ AIR CONV
63, AIR.10000, S25D.95, 175.8055 $ AIR CONV
64, AIR.10000, S25D.96, 99.97353 $ AIR CONV
65, AIR.10000, S25D.97, 119.0528 $ AIR CONV
66, AIR.10000, S25D.98, 147.533 $ AIR CONV
67, AIR.10000, S25D.99, 122.7583 $ AIR CONV
68, AIR.10000, S25D.100, 191.2955 $ AIR CONV
69, AIR.10000, S25D.101, 197.3013 $ AIR CONV
70, AIR.10000, S25D.102, 173.0556 $ AIR CONV
71, AIR.10000, S25D.103, 193.2726 $ AIR CONV
72, AIR.10000, S25D.104, 128.1502 $ AIR CONV
73, AIR.10000, S25D.105, 102.519 $ AIR CONV
74, AIR.10000, S25D.106, 180.8979 $ AIR CONV
75, AIR.10000, S25D.107, 160.9948 $ AIR CONV
76, AIR.10000, S25D.108, 197.6314 $ AIR CONV
77, AIR.10000, S25D.109, 162.5766 $ AIR CONV
78, AIR.10000, S25D.110, 143.3984 $ AIR CONV
79, AIR.10000, S25D.111, 265.7273 $ AIR CONV
80, AIR.10000, S25D.112, 90.36677 $ AIR CONV
81, AIR.10000, S25D.113, 146.033 $ AIR CONV
82, AIR.10000, S25D.114, 182.0126 $ AIR CONV
83, AIR.10000, S25D.115, 142.1242 $ AIR CONV
84, AIR.10000, S25D.116, 156.4711 $ AIR CONV
85, AIR.10000, S25D.117, 263.3278 $ AIR CONV
86, AIR.10000, S25D.118, 133.7923 $ AIR CONV
87, AIR.10000, S25D.119, 134.4939 $ AIR CONV
88, AIR.10000, S25D.120, 87.09295 $ AIR CONV
89, AIR.10000, S25D.121, 168.8858 $ AIR CONV
90, AIR.10000, S25D.122, 133.792 $ AIR CONV
91, AIR.10000, S25D.123, 194.2227 $ AIR CONV
92, AIR.10000, S25D.124, 116.8372 $ AIR CONV
93, AIR.10000, S25D.125, 125.5161 $ AIR CONV
94, AIR.10000, S25D.126, 54.22872 $ AIR CONV
而且我想将其读入熊猫数据框中以作进一步分析。如您所见，每个子集的标题和数据格式都不同。我曾想过使用re module和pandas将数据读入框架，但不知道如何以最有效的方式进行操作。您还可以看到，两个标头都使用AIR字符串。在完整的文件中，会有更多这样的字符串，因此我想为每个字符串创建一个这样的类，该类的属性（节点，导体）将是带有相应数据的pd数据帧。
任何帮助将不胜感激：）