将 BlankerL 提供的2019新型冠状病毒疫情时间序列数据仓库进行可视化。目前为自用,可提供市级的确诊数时程线,(各大网站只提供全国确诊数的时程线)。
打开VisualizeDXYArea.py
,填入感兴趣的省名、市名、数据文件的路径,保存后,运行
python VisualizeDXYArea.py
将生成png
格式的“累计确诊数”和“单日新增确诊数”的时程线图片。
除标准python库外,需额外安装的库有:
matplotlib pandas
将 BlankerL 提供的2019新型冠状病毒疫情时间序列数据仓库进行可视化。目前为自用,可提供市级的确诊数时程线,(各大网站只提供全国确诊数的时程线)。
打开VisualizeDXYArea.py
,填入感兴趣的省名、市名、数据文件的路径,保存后,运行
python VisualizeDXYArea.py
将生成png
格式的“累计确诊数”和“单日新增确诊数”的时程线图片。
除标准python库外,需额外安装的库有:
matplotlib pandas
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