Question

我的下面的代码目前正在检查一个文本文件，看看它是否可以从我的词典文件中找到一个句子中的单词，如果它确实找到一个，那么搜索该行，看它是否可以从二级列表中找到一个单词这两个条件都在一行中得到满足，然后打印出这一行。

我要做的是将词典颜色设置为例如红色＆amp;对于在名为CategoryGA的辅助列表中找到的单词的蓝色，我的目的是在打印输出中轻松识别每个找到的单词来自。

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()

这是我的完整代码，但问题出现在＆＃34; LanguageDetect＆＃34;方法我目前的方法是通过分配lex_word＆amp; cat_word变量没有工作，坦率地说我很难接受下一步的尝试。

词典：

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

然后在readlex方法中使用：

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

删除单词/字符之前的所有内容我相信这可能是主要的问题，为什么我不能为词典单词着色但不确定如何解决这个问题。

Answer 1

我认为你的问题来自你处理行数据的方式，但也许我不明白你的问题。

应该这样做：

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)

给出输出：

Python3为句子中的列表中的特定输出单词添加颜色

1 个答案: