Creating DataFrames

A DataFrame is a two-dimensional table with labeled rows and columns. It's the primary data structure in Pandas.

From a Dictionary of Lists

The most common way to create a DataFrame:

From a List of Dictionaries

Each dictionary becomes a row:

With Custom Index

Specify custom row labels:

From NumPy Arrays

Create from 2D arrays with column names:

Creating Empty DataFrames

Start with an empty structure and fill it:

Exercise: Student Records

Exercise: From List of Dicts

Key Points

• DataFrames are 2D labeled data structures
• Create from dict of lists (columns) or list of dicts (rows)
• Use index= for custom row labels
• Use columns= for custom column names
• Can create empty DataFrames and add data later