随笔分类 - 数据处理与分析
用Pyhton做数据分析, 主推 Pandas , Numpy, Excel, 主要是记录平时工作及学习常用的功能.
摘要：pandas 中, 关于字符串处理的常用api总结
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摘要：数据映射, 离散化, 异常值, 重采样, one-hot coding....
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摘要：数据清洗-缺失值处理(drop, fill)
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摘要：
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摘要：认识 jupyter地址: pandas objects are equipped(配备的) with a set of common mathematical and statistical methods. Most of these fall into the categrory of red
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摘要：Pandas will be a major tool of interest throughout(贯穿) much of the rest of the book. It contains data structures and manipulation tools designed to ma
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摘要：The numpy.random module supplements(补充) the built in Python random with functions for efficiently generating whole arrays of sample values from many k
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摘要：File Input and Output NumPy is able to save and load data to and from disk either in text or binary format. In this section I only discuss NumPy's bui
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摘要：Using NumPy arrays enables you to express many kinds of data processing tasks as concise(简明的) array expressions(不用写循环就能用数组表达很多数据过程) that might otherwi
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摘要：why 回顾我的数据分析入门, 最开始时SPSS+EXCEL,正好 15年初是上大一下的时候, 因为统计学的还蛮好的, SPSS傻瓜式操作,上手挺方便,可渐渐地发现, 使用软件的最不好的地方是不够灵活, 不能为所欲为 , 编程语言才是最灵活的, 最还是用R, 命令式的, 也是感觉不太好是, 于是开始
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