大家好，我是java1234_小锋老师，最近写了一套【NLP舆情分析】基于python微博舆情分析可视化系统(flask+pandas+echarts)视频教程，持续更新中，计划月底更新完，感谢支持。今天讲解微博舆情数据可视化分析-热词情感趋势柱状图
视频在线地址：
2026版【NLP舆情分析】基于python微博舆情分析可视化系统(flask+pandas+echarts+爬虫) 视频教程 （火爆连载更新中..）_哔哩哔哩_bilibili
课程简介：
本课程采用主流的Python技术栈实现，Mysql8数据库，Flask后端，Pandas数据分析，前端可视化图表采用echarts，以及requests库，snowNLP进行情感分析，词频统计，包括大量的数据统计及分析技巧。
实现了，用户登录，注册，爬取微博帖子和评论信息，进行了热词统计以及舆情分析，以及基于echarts实现了数据可视化，包括微博文章分析，微博IP分析，微博评论分析，微博舆情分析。最后也基于wordcloud库实现了词云图，包括微博内容词云图，微博评论词云图，微博评论用户词云图等功能。
微博舆情数据可视化分析-热词情感趋势柱状图
首先，我把微博舆情分析静态页面sentimentAnalysis.html贴到templates下：
{% extends 'base.html' %}
{% block title %}舆情分析{% endblock %}
{% block content %}
<div class="container-fluid">
<div class="row">
<div class="col-md-12 mb-4 mt-1">
<div class="d-flex flex-wrap justify-content-between align-items-center">
<h4 class="font-weight-bold">舆情分析</h4>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-6">
<div class="card">
<div class="card-header d-flex justify-content-between">
<div class="header-title">
<h4 class="card-title">热词情感趋势柱状图</h4>
</div>
</div>
<div class="card-body">
<div id="hotBarMain" style="width:100%;height:450px">
</div>
</div>
</div>
</div>
<div class="col-lg-6">
<div class="card">
<div class="card-header d-flex justify-content-between">
<div class="header-title">
<h4 class="card-title">热词情感趋势树形图</h4>
</div>
</div>
<div class="card-body">
<div id="hotTreeMapMain" style="width:100%;height:450px">
</div>
</div>
</div>
</div>
<div class="col-lg-6">
<div class="card">
<div class="card-header d-flex justify-content-between">
<div class="header-title">
<h4 class="card-title">文章内容与评论内容舆情趋势饼状图</h4>
</div>
</div>
<div class="card-body">
<div id="contentPieMain" style="width:100%;height:450px;text-align:center">
</div>
</div>
</div>
</div>
<div class="col-lg-6">
<div class="card">
<div class="card-header d-flex justify-content-between">
<div class="header-title">
<h4 class="card-title">热词TOP15</h4>
</div>
</div>
<div class="card-body">
<div id="hotData15Main" style="width:100%;height:450px;text-align:center">
</div>
</div>
</div>
</div>
</div>
</div>
{% endblock %}
{% block echarts %}
{% endblock %}后端实现sentimentAnalysis方法：
@pb.route('/sentimentAnalysis')
def sentimentAnalysis():
"""
舆情数据分析
:return:
"""
xHotBarData = ['正面', '中性', '负面']
yHotBarData = [0, 0, 0]
# 只读取前100条
df = pd.read_csv('./fenci/comment_fre.csv', nrows=100)
for value in df.values:
# 情感分析
stc = SnowNLP(value[0]).sentiments
if stc > 0.6:
yHotBarData[0] += 1
elif stc < 0.2:
yHotBarData[2] += 1
else:
yHotBarData[1] += 1
return render_template('sentimentAnalysis.html',
xHotBarData=xHotBarData,
yHotBarData=yHotBarData)前端实现柱状图表代码：
<script>
var chartDom = document.getElementById('hotBarMain');
var myChart = echarts.init(chartDom);
var option;
var colors = ['#66CC99', '#FFCC66', '#FF6666', '#6699CC'];
option = {
title: {
text: '热词情感分析柱状图',
},
tooltip: {
trigger: 'axis'
},
legend: {
data: ['情感个数']
},
toolbox: {
show: true,
feature: {
dataView: {show: true, readOnly: false},
magicType: {show: true, type: ['line', 'bar']},
restore: {show: true},
saveAsImage: {show: true}
}
},
calculable: true,
xAxis: [
{
type: 'category',
// prettier-ignore
data: {{ xHotBarData | tojson}}
}
],
yAxis: [
{
type: 'value'
}
],
series: [
{
name: '情感个数',
type: 'bar',
data: {{ yHotBarData }},
markPoint: {
data: [
{type: 'max', name: 'Max'},
{type: 'min', name: 'Min'}
]
},
itemStyle: {
color: function (params) {
return colors[params.dataIndex % colors.length];
}
},
markLine: {
data: [{type: 'average', name: 'Avg'}]
}
}
]
};
option && myChart.setOption(option);
</script>