Mastering Pandas: How to Set and Reset Index in DataFrames 📊

pandas: powerful Python data analysis toolkit.
Welcome to my YouTube channel, in our session of today we are going learn how to set index of pandas data structure.
Our session will be categorized into the following parts
1. Meaning of index.
2. Set Single Index.
3. Set Multple Index.
4. Reset Index.



Meaning of Index
is the left most column of dataframe which may be default dataframe index or user set index.
Usually default index is contiunueally increasing in integers by starting at 0. Index can be of data type string
where by it will be shown as object, index is the core feature of pandas data structure as it used to acess data by
label or postion. Also you can have multiple index or single index accoring to the need of their uses.



Single index
This involve the use of only one index which can be pandas data structure default index or index set by user.


Multiple index
This involve the use of more than column as index, as it is known that by default pandas data structure has one index,
so if you need to use multple index specify both index and their values.


Reset index
This involve confuguring back dataframe to have it's default index. After reseting index, new dataframe will return increasing by integer from 0.


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