Question

Mention any two main points of difference between Series and DataFrame of Python Pandas.

Answer 1

Sr. No.	Series	DataFrame
1.	A one-dimensional labeled structure that stores data of a single type, similar to one column in Excel.	A two-dimensional labeled data structure with rows and columns, similar to a table in SQL or Excel.
2.	It has only one column and an index.	It contains multiple columns with rows and an index.
3.	Series stores homogeneous data, meaning all values are of the same data type.	DataFrame can store heterogeneous data, with different data types across columns.
4.	It uses a single index for accessing values.	It uses both row and column indices to access data.