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44 lines
1.4 KiB
44 lines
1.4 KiB
6 months ago
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import csv
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import re
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import numpy as np
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import pandas as pd
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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def purification(self,new_self):
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with open(self,"r",newline='',encoding='utf-8') as self:
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reader = csv.reader(self)
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data_list = []
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for row in reader:
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new_row_data = str([row[13]])
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pattern = re.compile("[\u4e00-\u9fa5]+")
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new_row_data = pattern.findall(new_row_data)
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data_list.append(new_row_data)
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with open(new_self,'w',newline='',encoding='utf-8') as new_self:
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writer = csv.writer(new_self)
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for row in data_list:
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writer.writerow(row)
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def wordcloud():
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# 读取 csv 文件
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df = pd.read_csv('analyse.csv',sep = '$')
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# 提取第四列数据并去重
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column_data = df.iloc[:,0] # 通过 iloc 方法选取第一列数据
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unique_data = column_data.drop_duplicates()
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# 将去重后的数据转换为字符串类型
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text = ' '.join(unique_data.astype(str).tolist())
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# 生成词云
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my_stopwords = []
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wordcloud = WordCloud(font_path='simhei.ttf',width=1000, height=600, background_color='white', stopwords=my_stopwords).generate(text)
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# 显示词云
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plt.figure(figsize=(10, 6))
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plt.imshow(wordcloud, interpolation='bilinear')
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plt.axis("off")
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plt.show()
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self = 'congtent.csv'
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new_self = 'analyse.csv'
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purification(self,new_self)
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wordcloud()
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