我以前问过如何使用pandas输入这个.txt文件的问题。 我在试着熊猫.read_csv在
我发现,我无法使用read_csv读取这个文件,除非我删除了头数据(一直到“#”)。在
问题是,我需要提取数据,比如,Well Name,Well KB,Well Type。。。从标题数据。有没有办法用熊猫做到这一点? 或者我只能用其他方式进入吗?在
我最初的问题是:
Pandas.read_csv error tokenizing data
原始文本文件:
# 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
很好。我就这样做。但如果我能在熊猫身上做到这一切,那就太好了。在
您可以用注释指示符作为分隔符分析文件,然后使用pandas
str.extract
获取其余数据
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