Python 将逗号分隔的单词读入熊猫

我有一个文件，里面写着这样的话：

words.txt

"A", "B", "C", "D", "E",
"F", "G", "H", "I", "J",
"K", "L", "M", "N", "O"

如何使用Pandas读取此文件？我的最终目标是一个包含（a，B，C，D，E…O）的系列

read_csv似乎面向一张桌子

我设法通过使用

words = list(pd.read_csv('words.txt').columns)

但这太难看了。我相信有更好的办法

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谢谢大家!

这将是一个答案

list = ["A", "B", "C", "D", "E","F", "G", "H", "I", "J","K", "L", "M", "N", "O"]

print(list)

输出：

['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O']

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使用纯python，您可以执行以下操作来构建列表：

words = [word.strip() for line in open("words.txt") for word in line.split(",") if word]

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您不需要单独使用pandas库，只需使用模块即可。范例-

import csv
with open('<csvfile>','r') as f:
    reader = csv.reader(f,skipinitialspace=True)
    words = next(reader)

代码和结果-

>>> import csv
>>> with open('a.csv','r') as f:
...     reader = csv.reader(f,skipinitialspace=True)
...     words = next(reader)
...
>>> words
['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O']

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哈哈哈，让我笑了！：）这只是一个例子，朋友！很抱歉，我试图帮助社区，因为我对python有点陌生。在

“E”之后有换行符吗？

？如果它们在不同的行中，我认为你的解决方案不起作用。没有！只需包装！

>>> import csv
>>> with open('a.csv','r') as f:
...     reader = csv.reader(f,skipinitialspace=True)
...     words = next(reader)
...
>>> words
['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O']