“使用 Python 进行数据分析”
《Data Analysis with Python》是机械工业出版社2013年10月出版的软硬件开发书籍。作者是McKinney。 它描述了对来自pandas库的数据分析工具的各种时间序列数据的处理，使用高性能工具matpIotlib和pandas的groupby函数。 从 pandas 库的数据分析工具开始，使用高性能工具加载、清理、转换、合并和重塑数据； 使用 matpIotlib 创建散点图和静态或交互式可视化；《使用 Python 进行数据分析》适用于不熟悉 Python 的分析师和不熟悉科学计算的 Python 程序员。 使用交互式外壳 IPython 作为您的主要开发环境。
(Data analysis with Python is a software and hardware development book published by mechanical industry press in October 2013. The author is McKinney. It describes the processing of various time series data from the data analysis tools of pandas library, using the high-performance tools matpiotlib and the group by function of pandas. Starting from the data analysis tool of pandas library, use high-performance tools to load, clean up, transform, merge and reshape data; Use matpiotlib to create scatter diagram and static or interactive visualization;Data analysis using Python is suitable for analysts who are not familiar with Python and python programmers who are not familiar with scientific computing. Use the interactive shell IPython as your primary development environment.)
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