Python 将.txt文件转换为.csv文件以打印两列时收到错误

在一个.txt文件中有四列，我想将其转换为.csv，然后绘制其中两列。我的代码如下：

import pandas as pd
import numpy as np
from sys import argv
from pylab import *

import csv

script, filename = argv

txt = open(filename)

print "Here's your file %r:" % filename
print txt.read()

# read flash.dat to a list of lists
datContent = [i.strip().split() for i in open("./N56_mass.txt").readlines()]

# write it as a new CSV file
with open("./N56_mass.txt", "wb") as f:
    writer = csv.writer(f)
    writer.writerows(datContent)

columns_to_keep = ['#Radius(cm)', 'Ni56MassFration']
dataframe = pd.read_csv("./N56_mass.txt", usecols=columns_to_keep)

pd.set_option('display.height', 1000)
pd.set_option('display.max_rows', 1000)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

dataframe.plot(x='#Radius(cm)', y='Ni56MassFraction', style='r')

print dataframe

show()

在使用python N56_mass.txt csv_flash.py执行时，我遇到了一个不可靠的语法错误，错误提示：

File "N56_mass.txt", line 2
    0.1e10                     0.00326                 1.605             0.00203
                                     ^
SyntaxError: invalid syntax

我在我的.txt文件或代码中都看不到错误，我也在上传.txt文件，请帮我找到错误。提前谢谢`

#Radius(cm)                Ni56Mass                TotalMass         Ni56MassFraction
0.1e10                     0.00326                 1.605             0.00203
0.2e10                     0.00548                 1.896             0.00289
0.3e10                     0.00620                 1.976             0.00313 
0.4e10                     0.00658                 2.028             0.00324 
0.6e10                     0.00716                 2.113             0.00339
0.8e10                     0.00777                 2.177             0.00357
1.0e10                     0.00808                 2.218             0.00364
1.2e10                     0.00833                 2.247             0.00370
1.4e10                     0.00851                 2.268             0.00357
1.6e10                     0.00859                 2.281             0.00377
1.8e10                     0.00862                 2.288             0.00377
2.0e10                     0.00864                 2.293             0.00377
2.2e10                     0.00864                 2.297             0.00377
2.4e10                     0.00864                 2.299             0.00376
2.6e10                     0.00865                 2.301             0.00376

---

您的命令行语法不正确

通过调用

python N56\u mass.txt csv\u flash.py

试试看

python csv_flash.py N56_mass.txt

---

您的命令行语法不正确

通过调用

python N56\u mass.txt csv\u flash.py

试试看

python csv_flash.py N56_mass.txt

用于将空白作为分隔符处理：

dataframe = pd.read_csv("N56_mass.txt", delim_whitespace=True, usecols=columns_to_keep)

用于将空白作为分隔符处理：

dataframe = pd.read_csv("N56_mass.txt", delim_whitespace=True, usecols=columns_to_keep)