词云系统设计

2019-06-17 宋洋葱 宋洋葱 1 min

添加influxdb源,然后安装

cat <<EOF | sudo tee /etc/yum.repos.d/influxdb.repo
[influxdb]
name = InfluxDB Repository - RHEL \$releasever
baseurl = https://repos.influxdata.com/rhel/\$releasever/\$basearch/stable
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdb.key
EOF

yum -y install influxdb
systemctl start influxdb

pip install numpy pillow wordcloud jieba influxdb

测试

import jieba.analyse
text = "前一阵子有一篇热文，小学生用大数据分析苏轼，说的就是清华附小的学生用词频分析方法对苏轼的作品进行了分析"
tags = jieba.analyse.extract_tags(text,withWeight=True)
words = {}
for k,v in tags:
	words[k] = int(v*1000)

from influxdb import InfluxDBClient
data = {'measurement':'hotwords','fields':words}
client = InfluxDBClient('192.168.31.212',database='testDB')

result = client.query('select * from hotwords limit 1;')

p = list(result.get_points())[0]
print(p)
del p['time']

from wordcloud import WordCloud
font_path = 'PingFang.ttf'
wc = WordCloud(background_color="white",# 设置背景颜色
max_words=2000, # 词云显示的最大词数  
font_path=font_path, # 兼容中文字体，不然中文会显示乱码
)

#通过词频生成词云，p类似 [{'str':float},{'str':float}
wc.generate_from_frequencies(p)
wc.to_file('hotword.png')

参考

词云系统设计

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