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<h1>Python 数据分析与可视化包</h1>

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Python数据分析包: numpy, pandas,

Python可视化包： matplotlib, seaborn, 


书： 
《python for Data Analysis, 2nd Edition》
https://github.com/DawnEve/pydata-book
https://github.com/DawnEve/pydata-book/tree/2nd-edition
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<h2><a target="_blank" href="NumPy_demo.html">NumPy_demo.html</a></h2>
<h2><a target="_blank" href="Pandas_demo.html">Pandas_demo.html</a></h2>
<p><a target="_blank" href="https://nbviewer.org/github/pydata/pydata-book/blob/2nd-edition/ch05.ipynb">Chapter 5: Getting Started with pandas</a></p>
<p><a target="_blank" href="https://nbviewer.org/github/pydata/pydata-book/blob/2nd-edition/ch06.ipynb">Chapter 6: Data Loading, Storage, and File Formats</a> 数据读取、保存 csv, txt, DB。</p>
<p><a target="_blank" href="https://nbviewer.org/github/pydata/pydata-book/blob/2nd-edition/ch07.ipynb">Chapter 7: Data Cleaning and Preparation</a> 缺失值、去重、分bin、异常值、抽样，字符操作，正则表达式，</p>
<p><a target="_blank" href="https://nbviewer.org/github/pydata/pydata-book/blob/2nd-edition/ch08.ipynb">Chapter 8: Data Wrangling: Join, Combine, and Reshape</a></p>