Python3爲語句中的列表中的特定輸出單詞添加顏色

Question

我的下面的代碼當前正在檢查一個文本文件，以查看它是否可以從我的詞典文件中找到一個句子中的單詞，如果它找到一個單詞，看看是否可以從一個輔助列表中找到一個單詞，如果這兩個條件在一行中被滿足，那麼這行就被打印出來。

我想要做的是設置字典詞的顏色爲例如紅色&藍色的詞語在次要名單中被稱爲CategoryGA，我的目的是爲了在打印輸出中輕鬆識別每一個發現的話來自於。

import re 
import collections 
from collections import defaultdict 
from collections import Counter 
import sys 

from Categories.GainingAccess import GA 

Chatpath = "########/Chat1.txt" 
Chatfile = Chatpath 

lpath = 'Lexicons/######.txt' 
lfile = lpath 
CategoryGA = GA 
Hits = [] 

""" 
text_file = open(path, "r") 

lines = text_file.read().split() 

c = Counter(lines) 

for i, j in c.most_common(50): 
    print(i, j) 

""" 


# class LanguageModelling: 

def readfile(): 
    Word_Hit = None 
    with open(Chatfile) as file_read: 
     content = file_read.readlines() 
     for line_num, line in enumerate(content): 
      if any(word in line for word in CategoryGA): 
       Word_Hit = False 
       for word in CategoryGA: 
        if line.find(word) != -1: 
         Word_Hit = True 
         Hits.append(word) 
         Cleanse = re.sub('<.*?>', '', line) 

         print('%s appeared on Line %d : %s' % (word, line_num, Cleanse)) 

     file_read.close() 

    count = Counter(Hits) 
    count.keys() 
    for key, value in count.items(): 
     print(key, ':', value) 


def readlex(): 
    with open(lfile) as l_read: 
     l_content = l_read.readlines() 
     for line in l_content: 
      r = re.compile(r'^\d+\s+\d+\.\d+%\s*') 
      l_Cleanse = r.sub('', line) 
      print(l_Cleanse) 

    l_read.close() 


def LanguageDetect(): 
    with open(Chatfile) as c_read, open(lfile) as l_read: 
     c_content = c_read.readlines() 

     lex_content = l_read.readlines() 
     for line in c_content: 
      Cleanse = re.sub('<.*?>', '', line) 
      if any(lex_word in line for lex_word in lex_content) \ 
        and \ 
        any(cat_word in line for cat_word in CategoryGA): 
       lex_word = '\033[1;31m{}\033[1;m'.format(lex_word) 

       cat_word = '\033[1;44m{}\033[1;m'.format(cat_word) 
       print(Cleanse) 
       # print(cat_word) 

    c_read.close() 
    l_read.close() 

#readfile() 
LanguageDetect() 
# readlex() 

這是我的全部代碼，但問題是在「LanguageDetect」的方法我目前通過指定lex_word & cat_word變量試圖辦法沒有奏效發生和坦白說，我很爲難，以什麼嘗試下一個。

詞彙：

31547 4.7072% i 
25109 3.7466% u 
20275 3.0253% you 
10992 1.6401% me 
9490 1.4160% do 
7681 1.1461% like 
6293 0.9390% want 
6225 0.9288% my 
5459 0.8145% have 
5141 0.7671% your 
5103 0.7614% lol 
4857 0.7247% can 

那麼readlex方法中我使用：

r = re.compile(r'^\d+\s+\d+\.\d+%\s*') 
      l_Cleanse = r.sub('', line) 

的字/字符我認爲這可能是最主要的問題，爲什麼我不能之前刪除一切不要着色詞彙詞，但不確定如何解決這個問題。

Answer 1

我認爲你的問題來自你處理線數據的方式，但也許我不明白你的問題。

這應該做的伎倆：

lex_content = ['aaa', 'xxx'] 
CategoryGA = ['ccc', 'ddd'] 
line = 'abc aaa bbb ccc' 

for lex_word in lex_content: 
    for cat_word in CategoryGA: 
    if lex_word in line and cat_word in line: 
     print(lex_word, cat_word) 
     line = line.replace(lex_word, '\033[1;31m' + lex_word + '\033[1;m') 
     line = line.replace(cat_word, '\033[1;44m' + cat_word + '\033[1;m') 
     print(line) 

給人的輸出：