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

## The `loc` and `iloc` methods

The `loc` and `iloc` methods are essential Pandas methods used for filtering, selecting, and manipulating data. They allow us to access the desired combination of rows and columns.

The main difference between them is the way they access rows and columns:
* `loc` uses row and column labels.
* `iloc` uses row and column indexes.

Consider the `DataFrame` shown in the following illustration. To access the rows and columns using the `iloc` method, we use the index values (0, 1, and 2). If we want to use the `loc` method, we need to use the labels A, Day 1, and so on).

# The `loc` and `iloc` methods

The `loc` and `iloc` methods are essential Pandas methods used for filtering, selecting, and manipulating data. They allow us to access the desired combination of rows and columns.

The main difference between them is the way they access rows and columns:
* `loc` uses row and column labels.
* `iloc` uses row and column indexes.

Consider the `DataFrame` shown in the following illustration. To access the rows and columns using the `iloc` method, we use the index values (0, 1, and 2). If we want to use the `loc` method, we need to use the labels A, Day 1, and so on).

Learn about the loc and iloc methods of 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

Filtering with "loc" and "iloc" Methods

The `loc` and `iloc` methods