如何将tsv文件加载到Pandas DataFrame中?

问题描述

我是python和pandas的新手.我正在尝试将tsv文件加载到熊猫DataFrame中.

I'm new to python and pandas. I'm trying to get a tsv file loaded into a pandas DataFrame.

这是我正在尝试的错误，也是我得到的错误:

This is what I'm trying and the error I'm getting:

>>> df1 = DataFrame(csv.reader(open('c:/~/trainSetRel3.txt'), delimiter='\t'))

Traceback (most recent call last):
  File "<pyshell#28>", line 1, in <module>
    df1 = DataFrame(csv.reader(open('c:/~/trainSetRel3.txt'), delimiter='\t'))
  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 318, in __init__
    raise PandasError('DataFrame constructor not properly called!')
PandasError: DataFrame constructor not properly called!

推荐答案

注意:从17.0开始，不鼓励使用from_csv:请改用pd.read_csv

Note: As of 17.0 from_csv is discouraged: use pd.read_csv instead

文档列出了 .from_csv 似乎可以完成您想要的功能:

The documentation lists a .from_csv function that appears to do what you want:

DataFrame.from_csv('c:/~/trainSetRel3.txt', sep='\t')

如果有标题，则可以传递header=0.

If you have a header, you can pass header=0.

DataFrame.from_csv('c:/~/trainSetRel3.txt', sep='\t', header=0)

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