我正在使用 Enthought Canopy（一组许多不同的 Python 库包，例如 NumPy、Pandas 等）进行数据分析。我正在尝试读取一个文本文件并从中创建一个数据框。该文本文件有 1180598 行和 18 列。所有列中都有数字。我编写了以下代码来读取和命名数据列：
from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pd
print 'Pandas Version ' + pd.__version__
Pandas Version 0.12.0
location=r'C:\UMAIR\Directed Studies\US-101 Data\Main Data\US-101-Main-Data\vehicle-trajectory-data\0750am-0805am\tra.txt'
df=read_csv(location, names=['Vehicle ID','Frame ID','Total Frames','Global Time','Local X','Local Y','Global X','Global Y','Vehicle Length','Vehicle Width','Vehicle Class','Vehicle Velocity','Vehicle Acceleration','Lane Identification','Preceding Vehicle','Following Vehicle','Spacing','Headway'])
df
Out[41]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 1180598 entries, 0 to 1180597
Data columns (total 18 columns):
Vehicle ID 1180598 non-null values
Frame ID 0 non-null values
Total Frames 0 non-null values
Global Time 0 non-null values
Local X 0 non-null values
Local Y 0 non-null values
Global X 0 non-null values
Global Y 0 non-null values
Vehicle Length 0 non-null values
Vehicle Width 0 non-null values
Vehicle Class 0 non-null values
Vehicle Velocity 0 non-null values
Vehicle Acceleration 0 non-null values
Lane Identification 0 non-null values
Preceding Vehicle 0 non-null values
Following Vehicle 0 non-null values
Spacing 0 non-null values
Headway 0 non-null values
dtypes: float64(17), object(1)
从 Out[41] 中可以看出，该文件被读取为只有 1 列。我应该怎么做才能让 Python 知道我的文件有 18 列，以便按照预期的方式读取它？