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

Which parameter is used to adjust the size of a plot?

Which parameter is used to adjust the size of a plot?

Which type of plot can be used to visualize the distribution of a column with continuous values?

Which type of plot can be used to visualize the distribution of a column with continuous values?

Data visualization with Pandas

Data visualization with Pandas

Let's take a short quiz on what we've learned about data visualization with Pandas.

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

Quiz Yourself: Data Visualization with Pandas