Learn about DataFrames in the pandas library and how we can perform different operations on them.

Pandas: Python for Data Analysis

In this module, we’ll learn about DataFrames and their functions in detail. We’ll also learn to perform data manipulation and data visualization using pandas. We’ll solve several exercises that focus on how to use a DataFrame and its methods. By the end of this module, we’ll be able to do data analysis and manipulation with pandas easily and efficiently.

A Comprehensive Practical Guide to Python Pandas

Although we mostly read data from an external file, Pandas also allows for creating your own `DataFrame`.

## Python dictionary

One of the most commonly used methods to do so is with a Python dictionary. We just pass a dictionary to the `DataFrame` constructor.

Although we mostly read data from an external file, Pandas also allows for creating your own `DataFrame`.

# Python dictionary

One of the most commonly used methods to do so is with a Python dictionary. We just pass a dictionary to the `DataFrame` constructor.

Learn how to create a DataFrame by using different data structures.

Pandas Data Structures

Creating a Data Frame

Exploring a Data Frame

Filtering a Data Frame

String Manipulation with Pandas

Date Manipulation with Pandas

Handling Missing Values with Pandas

Data Analysis with Pandas

Data Visualization with Pandas

Combining DataFrames with Pandas

Final Challenge and Quiz

Conclusion

Create a DataFrame

Python dictionary