Introduction to the pandas library

Pandas is a library for Python that provides fast, flexible, and expressive data structures designed to work with relational or tabular data, such as an SQL table, or an Excel spreadsheet. It is a fundamental, high-level building block for doing practical, real-world data analysis with Python. We use the following line of code to import the pandas library:

#The importing convention
import pandas as pd

Pandas is well-suited to the following cases:

• When you have tabular data with heterogeneously typed columns, such as the data that you can find in an SQL table or in an Excel spreadsheet
• When you have ordered or unordered time series data
• When you have data that is in rows and columns, similar to a matrix
• When you use, in your work, observational or other types of statistical datasets

There are two primary data structures in pandas:

• The series...