Introduction to Pandas

Introduction to Pandas

• Pandas is an open‒source library provided by Python.

• It is used in data science, data analysis and machine learning activities.

• Pandas is a data manipulation package in Python for tabular data.

• It has functions for analyzing, cleaning, exploring and manipulating data.

Install Pandas

Installing Pandas is very easy. Just issue following command at the command prompt.

pip install Pandas

If you have installed Anaconda, then the Pandas come by default. For using the Pandas functionality we need to import Pandas. The command for this is as follows ‒

In [1]: import pandas as pd

Here, Pandas is imported using the alias pd. In Python, alias are the alternate name for referring to the same thing. (ygon squibebrister Jan

Features of Pandas

1) It represents the data in tabular form.

2) It can perform quick and efficient data manipulation and analysis.

3) It can load data from different file formats into in‒memory data objects.

4) It can merge and join two datasets easily.

5) It provides time‒series functionality.

6) It can pivot and reshape data sets.

Data Structures

• In Pandas, there are two important data structures that are used –

1) Series and

2) Data frames.

Let us discuss them in detail