Python 正则表达式组合了两个不同行的匹配信息

我想通过正则表达式从代码中提取4x4矩阵数据，以便在python中用于进一步处理

数据的名称（空间中点的三维位置的矩阵）与名称应关联的变换数据位于不同的行中。如果我理解正确，您可以使用组（…）

name 'Point\d'

为要捕获的3D点创建匹配项。如何将变换数据链接到关联点

(?<=transform).+

---

以下是一种提取所需数据的非常脆弱的方法：

txt='''scenegraph {
  name 'Root'
  visible 1
  ...
'''
items = dict(m.groups() for i in txt.replace('\n','').split('scenegraph {')
    for m in [re.match(r".*\bname '([^']+)'.*\btransform ([0-9.e+\- ]+)",i)]
        if m is not None)

现在您有了一个包含

（名称，转换）

项的dict，您可以通过键迭代或访问项，例如：

for name, transform in items.items():
    print(name, transform.split())

# Root ['1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00']
# Point1 ['8.133591413e-01', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '8.133591413e-01', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '8.133591413e-01', '0.000000000e+00', '9.277027100e-02', '6.371318848e+03', '4.141105652e+02', '1.000000000e+00']
# Point2 ['3.526667595e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '3.526667595e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '3.526667595e+00', '0.000000000e+00', '-4.233531475e+00', '6.362593262e+03', '4.306122437e+02', '1.000000000e+00']

---

您最好对手头的数据格式使用解析器（看起来像是JSON/Yaml的一些变体）。

正则表达式不能以健壮的方式处理这种情况。看起来很有希望，我明天会研究它！谢谢你迄今为止的帮助！不幸的是，我不知道解析器到底是什么，但我将深入了解它。您是否可以在不导入python模块的情况下使用解析，因为我可能会遇到无法导入像regex这样的模块的问题，因为代码必须在我们使用的程序中从python执行？

for name, transform in items.items():
    print(name, transform.split())

# Root ['1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '1.000000000e+00']
# Point1 ['8.133591413e-01', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '8.133591413e-01', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '8.133591413e-01', '0.000000000e+00', '9.277027100e-02', '6.371318848e+03', '4.141105652e+02', '1.000000000e+00']
# Point2 ['3.526667595e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '3.526667595e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '0.000000000e+00', '3.526667595e+00', '0.000000000e+00', '-4.233531475e+00', '6.362593262e+03', '4.306122437e+02', '1.000000000e+00']