import codecs
import re
import numpy as np
import pymysql
from snownlp import SnowNLP
import matplotlib.pyplot as plt
from snownlp import sentiment
from snownlp.sentiment import Sentiment

comment = []
with open('./6.txt', mode='r', encoding='utf-8') as f:
    rows = f.readlines()
    for row in rows:
        if row not in comment:
            comment.append(row.strip('\n'))
def snowanalysis(self):
    sentimentslist = []
    for li in self:
        print(li)
        s = SnowNLP(li)
        print(s.sentiments)
        sentimentslist.append(s.sentiments)
    plt.hist(sentimentslist, bins=np.arange(0, 1, 0.01))
    plt.show()
snowanalysis(comment)

import pickle
from os import path
import jieba
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
def make_worldcloud(file_path):
    text_from_file_with_apath = open(file_path,'r',encoding='UTF-8').read()
    wordlist_after_jieba = jieba.cut(text_from_file_with_apath, cut_all=False)
    wl_space_split = " ".join(wordlist_after_jieba)
    print(wl_space_split)
    backgroud_Image = plt.imread('./douban.jpg')
    print('加载图片成功！')
    '''设置词云样式'''
    stopwords = STOPWORDS.copy()
    stopwords.add("哈哈")
    stopwords.add("还是")#可以加多个屏蔽词
    wc = WordCloud(
        width=1024,
        height=768,
        background_color='white',# 设置背景颜色
        mask=backgroud_Image,# 设置背景图片
        font_path='E:\simsun.ttf',  # 设置中文字体，若是有中文的话，这句代码必须添加，不然会出现方框，不出现汉字
        max_words=300, # 设置最大现实的字数
        stopwords=stopwords,# 设置停用词
        max_font_size=400,# 设置字体最大值
        random_state=50,# 设置有多少种随机生成状态，即有多少种配色方案
    )
    wc.generate_from_text(wl_space_split)#开始加载文本
    img_colors = ImageColorGenerator(backgroud_Image)
    wc.recolor(color_func=img_colors)#字体颜色为背景图片的颜色
    plt.imshow(wc)# 显示词云图
    plt.axis('off')# 是否显示x轴、y轴下标
    plt.show()#显示
    # 获得模块所在的路径的
    d = path.dirname(__file__)
    # os.path.join()：  将多个路径组合后返回
    wc.to_file(path.join(d, "h11.jpg"))
    print('生成词云成功!')

make_worldcloud('./9.txt')