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系列文章：

• 文章1：
• 文章2：
• 文章3：
• GitHub仓库:

介绍

前面2篇文章都是使用matplotlib画图的,但当数据量较多时matplotlib的显示和交互性不让我满意,所以我使用canvas.js绘图。

canvasjs介绍：JavaScript Charts & Graphs with 10x better performance and a simple API. Integrates easily with popular JS Frameworks like AngularJS, etc. Library comes with 30 different types of charts including line, column, bar, area, spline, pie, doughnut, stacked charts, etc. It supports various interactive features like tooltips, zooming, panning, animation, events, drilldown, exporting and can easily be integrated with various server side technologies like PHP, Ruby, Python, , Node.JS, Java, etc. To top it all off, it can easily render thousands of data-points without any performance lag.

使用canvas.js

flask代码：

@app.route('/', methods=['GET'])def main():    temperature = get_temperature()    mem, MemTotal = get_mem()    return render_template('index.html', temperature=temperature, mem=mem, MemTotal=MemTotal)

HTML核心代码：

效果图如下：

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