Pandas.read_csv标记d时出错

Question

我有麻烦了熊猫.read_csv在

我想阅读此文本文件（见下文）当我将此数据复制到excel中时，它将以“空格”分隔，并将其复制到“文本到列”>；中，它将为我提供所需的精确输出。在

我尝试了很多不同的方法，我认为regEx可以解释多个空格，但我没能成功。在

我尝试以下代码：

petrelTxt = pd.read_csv(petrelfile, sep = ' ', header = None)

它给了我错误

^{pr2}$

当我尝试更改“sep='\s+'”时，它会使文件更深入，但仍然不起作用。在

petrelTxt = pd.read_csv(petrelfile, sep = '\s+', header = None)


CParserError: Error tokenizing data. C error: Expected 5 fields in line 3, saw 6

这是原始txt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

Answer 1

尝试comment="#"

使用io模块模拟文件的示例

data = '''# 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'''

import pandas as pd
import io

f = io.StringIO(data)

df = pd.read_csv(f, comment="#", sep='\s+')

print(df.columns)
print(df.head())

结果：

^{pr2}$