The video discusses GroupBy in Pandas in Python using MultiIndex DataFrame, sorting and grouped objects.

Timelime
(Python 3.7)

00:00 - Welcome
00:13 - Outline of video
01:19 - Open Jupyter notebook
01:29 - Data
02:11 - GroupBy: sort: default: .sum()
02:41 - GroupBy: sort=False: .sum()
03:16 - GroupBy: create grouped object
03:32 - GroupBy: groups from a grouped object
03:50 - GroupBy: .get_groups: to get a specific group
04:10 - GroupBy: .get_group(): .sum()
05:17 - Set MultiIndex to a DataFrame
05:33 - GroupBy: create grouped object: using MultiIndex
06:00 - GroupBy: groups from a grouped object: using MultiIndex
07:00 - GroupBy: groups from a grouped object: using column names
07:59 - GroupBy: MultiIndex DataFrame: using index level=0: .sum()
09:30 - GroupBy: MultiIndex DataFrame: using index level=1: .sum()
10:05 - GroupBy: MultiIndex DataFrame: using index level name: .sum()
10:19 - GroupBy: MultiIndex DataFrame: using multiple index level names: .sum()
11:12 - GroupBy: pd.Grouper: using numeric index level=0 and column name: .sum()
12:15 - GroupBy: pd.Grouper: using index name and column name: .sum()
12:37 - GroupBy: using index name and column name: .sum()
13:36 - GroupBy: Create a grouped object
14:16 - GroupBy: grouped object: use only one column from DataFrame
15:00 - GroupBy: using index level name: use only one column from DataFrame
16:02 - GroupBy: Create a grouped object: using index level name
16:36 - GroupBy: Iterate over a grouped object: using for_loop
19:17 - Ending notes

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