<p>您可以用注释指示符作为分隔符分析文件,然后使用pandas<code>str.extract</code></p>
<pre><code>from io import StringIO
import pandas as pd
txt = """# WELL TRACE FROM PETREL
# WELL NAME: ZZ-0113
# WELL HEAD X-COORDINATE: 9999999.00000000 (m)
# WELL HEAD Y-COORDINATE: 9999999.00000000 (m)
# WELL KB: 159.00000000 (ft)
# WELL TYPE: OIL
# MD AND TVD ARE REFERENCED (=0) AT KB AND INCREASE DOWNWARDS
# ANGLES ARE GIVEN IN DEGREES
# XYZ TRACE IS GIVEN IN COORDINATE SYSTEM WGS_1924_UTM_Zone_42N
# AZIMUTH REFERENCE TRUE NORTH
# DX DY ARE GIVEN IN GRID NORTH IN m-UNITS
# DEPTH (Z, TVD) GIVEN IN ft-UNITS
#======================================================================================================================================
MD X Y Z TVD DX DY AZIM INCL DLS
#======================================================================================================================================
0.0000000000 999999.00000 9999999.0000 159.00000000 0.0000000000 0.0000005192 -0.000000000 1.3487006929 0.0000000000 0.0000000000
132.00000000 999999.08032 9999999.9116 27.000774702 131.99922530 0.0803153923 -0.088388779 139.08870069 0.3400000000 0.2575757504
221.00000000 999999.19115 9999999.8017 -61.99775149 220.99775149 0.1911487882 -0.198290891 132.93870069 0.3200000000 0.0456726104"""
header_parse = pd.read_csv(StringIO(txt), sep='#', skipinitialspace=True, header=None)
hd = header_parse.iloc[:, 1].dropna()
hd.str.extract('\s*(?P<key>[^:]+)\s*:\s*(?P<value>.+)', expand=True).dropna()
key value
1 WELL NAME ZZ-0113
2 WELL HEAD X-COORDINATE 9999999.00000000 (m)
3 WELL HEAD Y-COORDINATE 9999999.00000000 (m)
4 WELL KB 159.00000000 (ft)
5 WELL TYPE OIL
</code></pre>
<hr/>
<p>获取其余数据</p>
^{pr2}$
<p><a href="https://i.stack.imgur.com/tNyCa.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/tNyCa.png" alt="enter image description here"/></a></p>