如何从python的每一行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）。每一行都有句子。我想从每行中的单词表（.csv文件）中选取几个重要单词，然后为每一行制作数据词频率。

Answer 1

我刚刚试图放下一些东西，希望这会帮助你。这可能会更有效率地完成，但它完成了这项工作。

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}