用Python解析数据文件

我目前正在用python为x-plane做一个pet项目，但需要一些解析数据的帮助

这是一个数据样本

1      196 1 0 EGKK London Gatwick
100   45.11   1   1 0.00 1 3 0 08R  51.14510986 -000.21231370  392.89    0.00 5  4 1 1 26L  51.15119014 -000.16819230  267.92  182.88 5  4 1 1
100   45.11   1   1 0.00 0 3 1 08L  51.14691084 -000.21256968  320.96    0.00 4  7 0 1 26R  51.15180116 -000.17681432  416.05    0.00 4  7 0 1
21   51.14622685 -000.20070224  3  77.60   3.00 08R PAPI-4R
21   51.14935802 -000.17789218  2 257.60   3.00 26L PAPI-4L
110   2 0.00  77.70 Parking positions 101-103
111  51.15774074 -000.17453421 
111  51.15612096 -000.17392833 
111  51.15658181 -000.17088556 
113  51.15811289 -000.17149989 
111  51.15791243 -000.17250212 
111  51.15761372 -000.17239479 
111  51.15749171 -000.17330039 
113  51.15779042 -000.17341443 
110   1 0.00 167.70 Ramp
111  51.15286332 -000.16377606 
111  51.15258969 -000.16312609 
111  51.15454938 -000.16302507 
113  51.15403028 -000.16372478 
110   2 0.00  77.50 Twy J west
111  51.14804859 -000.21064157  51 102 
111  51.14845633 -000.20754956  51 102 
112  51.14845142 -000.20696022  51.14842303 -000.20680182  51 102 
111  51.14822704 -000.20686650  51 102 
111  51.14787041 -000.20703621 
111  51.14809780 -000.20534823  51 102 
112  51.14835596 -000.20601269  51.14854333 -000.20604889 
111  51.14835596 -000.20601269 
112  51.14835596 -000.20601269  51.14846668 -000.20603079  51 102 
111  51.14853305 -000.20582527  51 102 
111  51.14878419 -000.20507558  51 102 
111  51.14915518 -000.20239537  51 102 
111  51.15028333 -000.19414918  51 102 
112  51.15015284 -000.19308931  51.14990429 -000.19299026  51 102 
111  51.14977192 -000.19312473 
111  51.14994515 -000.19188237  51 102 
112  51.15024605 -000.19228698  51.15042624 -000.19235632  51 102 
111  51.15068101 -000.19129646  51 102 
111  51.15181209 -000.18271022 
111  51.15207776 -000.18279411  51 102 
111  51.15170518 -000.18556349 
111  51.15134334 -000.18819268  51 102 
112  51.15080761 -000.19200036  51.15080249 -000.19202760 
111  51.15080761 -000.19200036 
112  51.15080761 -000.19200036  51.15073926 -000.19263232  51 102 
111  51.15139885 -000.19291562  51 102 
111  51.15299423 -000.19345539  51 102 
112  51.15345927 -000.19346592  51.15352079 -000.19342233 

1       20 1 0 YPAD Adelaide Intl
100   46.02   1   2 0.25 1 3 1 05  -34.95852900  138.51720042  157.89    0.00 5  3 1 1 23  -34.94065900  138.54330673    0.00   61.87 5  3 1 0
100   46.02   1   0 0.25 0 2 1 12  -34.94117850  138.52191000    0.00    0.00 5  3 1 0 30  -34.94939000  138.53698400    0.00    0.00 5  3 1 0
102 H1  -34.93518312  138.53192488 231.46   29.87   29.87   2 0   0 0.00 1
102 H2  -34.94658683  138.52277413 356.62   41.15   39.93   2 0   0 0.00 1
21  -34.94333383  138.54033847  2 230.00   3.00 New PAPI-4L
21  -34.94261483  138.53961547  3 230.00   3.00 New PAPI-4R
21  -34.95335269  138.52397752  2  50.00   3.00 New PAPI-4L
21  -34.94767809  138.53483040  3 303.70   3.00 New PAPI-4R
21  -34.94847005  138.53417115  2 303.70   3.00 New PAPI-4L
21  -34.94320477  138.52444181  3 123.70   3.00 New PAPI-4R
21  -34.94241898  138.52511056  2 123.70   3.00 New PAPI-4L
110   1 1.00 123.70 New Taxiway 199
111 -34.94102671  138.52209460 
111 -34.94093997  138.52194695 
111 -34.94128895  138.52166396 
113 -34.94136359  138.52179930 
110   2 1.00 123.70 New Taxiway 213
111 -34.94720010  138.53242703 
112 -34.94773614  138.53247063 -34.94793107  138.53226849 
111 -34.94814549  138.53282734 
111 -34.94759966  138.53339333 
111 -34.94776762  138.53436555 
112 -34.94716011  138.53434812 -34.94687064  138.53464022 
111 -34.94705647  138.53349360 
113 -34.94707434  138.53308815 
110   4 1.00   0.00 New Taxiway 85
111 -34.93416388  138.53331538 
112 -34.93417175  138.53324032 -34.93417896  138.53319052 
111 -34.93421978  138.53219165 
111 -34.93425647  138.53169827 
112 -34.93427328  138.53165726 -34.93428528  138.53164555 
111 -34.93435973  138.53166019 
111 -34.93474635  138.53169242 
111 -34.93546623  138.53082742 
112 -34.93547218  138.53049092 -34.93548608  138.53048365 
112 -34.93559920  138.53043281 -34.93563294  138.53041587 
111 -34.93572637  138.53040795 
111 -34.93566141  138.53051888 

以1开头的每个行标题表示机场，所有后续行标题表示机场的不同方面，例如：

111 Plain Node
112 Node with Bezier Control Point
113 Node Close Loop to close boundary
114 Node Close Loop with Bezier Control Loop
115 Node to Terminate Line
116 Node with Bezier Control Point

---

那么，我如何解析这个数据文件，并仅读取/使用与特定数据块相关的信息，即：在1之间，然后进一步深入使用机场数据等。

我建议您做的第一件事是编写一些代码，允许您检查是否正在处理新机场，但这不会占用该行。因此，在处理机场特定代码时，您知道下一个代码何时开始

更困难的是，制作一个可以让你读一行并把它推回的东西

一旦您能够真正解析这些行并找到新机场，您就可以使用它来创建一个机场对象，该对象知道如何处理不同的非1代码，并根据实际代码填写其信息

#! /usr/bin/env python
# coding: utf-8

from __future__ import print_function

class ParseAirportInfo(object):
    def __init__(self, filename):
        self._fp = open(filename)
        self._line = None

    def check(self):
        if self._line is None:
            self._line = self._fp.readline()
        if self._line == '':
            return -1
        split_line = self._line.split(None, 1)
        if split_line and split_line[0] == '1':
            return 1
        return 0

    def read(self):
        if self._line:
            retval = self._line
            self._line = None
            return retval
        return self._fp.readline()

class Airport(object):
    def __init__(self, line):
        # split the line starting with 1 and process the info
        pass

    def process_line(self, line):
        # split the line and process depending on the first value
        if line == '\n':
            return
        code, rest = line.split(None, 1)
        code = int(code)
        if code == 111:
            pass
        elif code == 110:
            pass

airports = []

def main():
    pai = ParseAirportInfo('airport.txt')
    airport = None
    while not pai.check() == -1:
        if pai.check() == 1:
            airport = Airport(pai.read())
        while pai.check() == 0:
            l = pai.read()
            airport.process_line(l)

main()

---

有几种方法可以解析文本文件。在您的情况下，最简单的方法可能是使用“csv”模块。首先尝试一些代码，如果您有任何问题，可以问一个更具体的问题。@Whitetimer您不会，因为没有必要。OP在文本和标记中明确提到了一个Python程序。（然而，两者都是OOPL，这在结构上会使它们相同。尝试一下，当你陷入困境时，在SO上发布一个新问题，如果这有助于提供上下文，请参考此问题）。