如何從python的每一行csv文件中提取單詞？

Question

我有一個非常大的.csv文件（1065行x 1列）。每一行都有句子。我想從每行中的單詞表（.csv文件）中選取幾個重要單詞，然後爲每一行製作數據詞頻率。

Answer 1

我剛剛試圖放下一些東西，希望這會幫助你。這可能會更有效率地完成，但它完成了這項工作。

輸入文件示例

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 

代碼

# 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 

輸出：

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