What is the difference between Pandas Series and DataFrame?
Pandas provides two types of classes for handling data:
1. Series: a one-dimensional labeled array holding data of any type
such as integers, strings, Python objects etc.
2. DataFrame: a two-dimensional data structure that holds data like a two-dimension array or a table with rows and columns.
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: What is the difference between Pandas Series and DataFrame? ### Response: Pandas provides two types of classes for handling data:
1. Series: a one-dimensional labeled array holding data of any type
such as integers, strings, Python objects etc.
2. DataFrame: a two-dimensional data structure that holds data like a two-dimension array or a table with rows and columns. 