Python Data Analysis Library - pandas: Python Data Analysis Library
https://pandas.pydata.org/
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python https://www.python.org/ programming language.
pandas: powerful Python data analysis toolkit - pandas 0.22.0 documentation
- http://pandas.pydata.org/pandas-docs/stable/index.html
- pandas . GitHub
- https://github.com/pandas-dev
Powerful data manipulation tools for Python
- pandas (software) - Wikipedia
- https://en.wikipedia.org/wiki/Pandas_(software)
- In computer programming https://en.wikipedia.org/wiki/Computer_programming , pandas is a software library https://en.wikipedia.org/wiki/Software_library written for the Python programming language https://en.wikipedia.org/wiki/Python_(programming_language) for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series https://en.wikipedia.org/wiki/Time_series . It is free software https://en.wikipedia.org/wiki/Free_software released under the three-clause BSD license https://en.wikipedia.org/wiki/3-clause_BSD_license . The name is derived from the term "panel data https://en.wikipedia.org/wiki/Panel_data", an econometrics https://en.wikipedia.org/wiki/Econometrics term for data sets that include observations over multiple time periods for the same individuals.
pandas_百度百科
https://baike.baidu.com/item/pandas
Python Data Analysis Library 或 pandas 是基于 NumPy 的一种工具, 该工具是为了解决数据分析任务而创建的. Pandas 纳入了大量库和一些标准的数据模型, 提供了高效地操作大型数据集所需的工具. pandas 提供了大量能使我们快速便捷地处理数据的函数和方法. 你很快就会发现, 它是使 Python 成为强大而高效的数据分析环境的重要因素之一.
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