What is Pandas?

Pandas is a Python library used for data manipulation and analysis. It is built on top of NumPy and provides two powerful data structures:

 

• Series → for 1D labeled data
• DataFrame → for 2D tabular data

To use it:

Pandas Series

What is a Series?

A Series is a one-dimensional labeled array that can hold any data type: integers, floats, strings, etc.

 

Creating a Series:

 

With Custom Index:

Accessing Elements:

Useful Attributes:

• s.index → Returns index labels
• s.values → Returns data values
• s.dtype → Returns data type

Pandas DataFrame

What is a DataFrame?

A DataFrame is a 2-dimensional table with rows and columns, like an Excel sheet.

Creating a DataFrame:

Viewing the DataFrame:

Accessing Data

Columns

Rows

Selecting Multiple Columns

Operations on DataFrames

Filtering Rows:

Adding a New Column:

Deleting a Column:

Basic Statistics:

• Pandas Series is great for handling one-dimensional data with labels.
• DataFrames are the core tool for reading, manipulating, and analyzing tabular data in Python.
• Mastering Series and DataFrames makes it easier to work with real-world datasets (CSV, Excel, SQL, etc.)