pandas各种排序函数

以下是Pandas中常用的各种排序函数：
1. Series数据的排序：
- 按值排序：sort_values()函数

     import pandas as pd
     s = pd.Series([3, 1, 4, 2, 5])
     s_sorted = s.sort_values()
     print(s_sorted)

- 按索引排序：sort_index()函数

     import pandas as pd
     s = pd.Series([3, 1, 4, 2, 5], index=['c', 'a', 'd', 'b', 'e'])
     s_sorted = s.sort_index()
     print(s_sorted)

2. DataFrame数据的排序：
- 按值排序：sort_values()函数

     import pandas as pd
     fpath="./datas/600033.csv"
     df=pd.read_csv(fpath)
     df_sorted = df.sort_values(by='date', ascending=True)
     print(df_sorted)

- 按索引排序：sort_index()函数

     import pandas as pd
     fpath="./datas/600033.csv"
     df=pd.read_csv(fpath)
     df_sorted = df.sort_index()
     print(df_sorted)

- 按多列排序：sort_values()函数

     import pandas as pd
     fpath="./datas/600033.csv"
     df=pd.read_csv(fpath)
     df_sorted = df.sort_values(by=['date', 'open'], ascending=[True, False])
     print(df_sorted)