如何在python中从每一行csv文件中提取单词？

Question

我有一个非常大的.csv文件(1065行x 1列)。每行都有句子。我想从我的词表(.csv文件)中提取每一行中的几个重要单词，然后为每一行设置数据词频。

Answer 1

我刚刚试着写下一些东西，希望这能对你有所帮助。它可能可以更高效地完成，但它已经完成了这项工作。

输入文件示例

bla bla bla. bla! bla bla apple!, :banana. apple!!!
banana bla bla, apple and banana
peach 12345 bla bla peach and banana, peach, banana! :apple

代码

# Your inputs
list_words = ['apple', 'banana','peach']
filename = 'example.txt'

# Set of characters to remove to tokenize the file's line
rm = ",:;?/-!."

# Read through the file per each line and do the math
with open(filename,'r') as fin:
    for count_line, line in enumerate(fin,1):
        clean_line = filter(lambda x: not (x in rm), line)
        # To hold the counts of each word
        words_frequency = {key: 0 for key in list_words}
        for w in clean_line.split():
            if w in list_words:
                words_frequency[w] += 1
        print 'Line', count_line,':', words_frequen

输出：

Line 1 : {'apple': 2, 'peach': 0, 'banana': 1}
Line 2 : {'apple': 1, 'peach': 0, 'banana': 2}
Line 3 : {'apple': 1, 'peach': 3, 'banana': 2}