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...