第4B课大纲_科小神成长计划 pandas

1.学习目标

2.重要知识点

3.拓展练习题

本大纲版权，归科赛网所有

学习目标

• 掌握 pandas Series 的创建和使用
• 掌握 pandas DataFrame 的创建和使用

重要知识点

1. pandas的三个核心数据结构为：Series，DataFrame，和Index。

    A Pandas Series is a one-dimensional array of indexed data
   
    DataFrame is an analog of a two-dimensional array with both
    flexible row indices and flexible column names.

2. pandas Series 的创建和使用

   可以看做 dict，带坐标轴的一维 numpy array

   可以通过 list, dict 等方式创建

   详见：https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html

3. pandas DataFrame 的创建和使用

   二维表格型数据结构，可以看作是 Series 对象的 dict 容器

   可以通过 a list of dicts, a dict of lists, numpy array 等方式创建

   此外，DataFrame 还有各种类似数据库的操作，如合并、聚合和分组等

   详见：https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html

4. Pandas 和 DataFrame 的关系

   If a Series is an analog of a one-dimensional array with flexible indices, a DataFrame is an analog of a two dimensional array with both flexible row indices and flexible column names. Just as you might think of a two-dimensional array as an ordered sequence of aligned one-dimensional columns, you can think of a DataFrame as a sequence of aligned Series objects. Here, by "aligned" we mean that they share the same index.

5. 视频内容参考链接：https://jakevdp.github.io/PythonDataScienceHandbook/03.01-introducing-pandas-objects.html