如何从python中的每一行csv文件中提取单词？

Question

I have a very large .csv file (1065 row x 1 column). Each row has sentences. I want to pick up several important words from my wordlist (.csv file) in each row and then make data term frequency for each row.

Answer 1

I have just tried to put down something, hopefully this will help you. It could be done more efficiently probably, but it does the job.

Example of input file

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

Code

# 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

Output:

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