Python可视化库很多，但每个库的适用场景不一样。 Matplotlib适合论文里的静态插图，功能扎实但交互性弱；Plotly交互很强，但在Flask里嵌入稍微绕一点；Pyecharts是我在这个项目里的首选，原因是它基于ECharts渲染，图表类型全，Tooltip、缩放、图例切换这些交互是默认就有的，不需要自己写JavaScript。

文章浏览阅读11次。数据分析是当前技术领域的热门方向，从数据采集到可视化展示的完整链路是工程实践的核心能力。以电影数据为例，介绍如何利用Python爬虫抓取公开数据，通过pandas进行清洗整理，借助SQLite实现高效存储，并结合Flask后端与Echarts前端完成交互式可视化呈现。系统覆盖时间趋势 ...

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