A data frame is a 2-D data structure in which the data is aligned in the form of rows and columns. A data frame is capable of performing arithmetic and conditional operations. It also has a mutable size in Python for data science.
For performing this operation e need the pandas and the numpy module.
Code 1: Concatenation of DataFrames.
The function concat() is a function that is responsible for all the concatenation operations along an axis while the performance of optional set logic (union or intersection) of the indexes on the other axes.
Code 2: Merging of DataFrames.
In pandas, there is a single function merge() which acts as the entry point for all standard database join operations between the data frame objects.
Code 3: Joining of DataFrames.