python数据分析高频词提取，pyecharts词云制作并保存

import pandas as pd
import jieba
import jieba.analyse

filename = "E:\数据处理\隐患类型.txt"
#载入数据
df_data = pd.read_csv(filename, header=0, encoding='gbk', dtype=str)#DataFrame

#去重并转换为list
ls_data = df_data.drop_duplicates().values.tolist()#df_data.values为array类型
ls_data = ";".join([str(j) for i in ls_data for j in i])#将列表元素转换为一个字符串，供lcut函数使用

print(ls_data)

seg_list = jieba.lcut(ls_data, cut_all=False, HMM=True) # 精确切割模式(默认为精确模式)
seg = '/'.join(seg_list)#str类型

#关键词抽取
tags = jieba.analyse.extract_tags(seg, topK=300, withWeight=True, allowPOS=('ns', 'n', 'vn', 'v'),)

import pyecharts.options as opts
from pyecharts.charts import WordCloud

def wordcloud():
    g = WordCloud()
    g.add(series_name="热点分析", data_pair=tags, word_size_range=[6, 66])
    g.set_global_opts(
        title_opts=opts.TitleOpts(
            title="高频词条", title_textstyle_opts=opts.TextStyleOpts(font_size=23)
        ),
        tooltip_opts=opts.TooltipOpts(is_show=True),
    )
    #.render("basic_wordcloud.html")
    return g

# 使用snapshot-selenium渲染成图片
from snapshot_selenium import snapshot
from pyecharts.render import make_snapshot

make_snapshot(snapshot, wordcloud().render(), "E:\数据处理\词云图2.png")# 保存为图片