Pandas

In this guide, you’ll learn how to create pivot tables in Python using Pandas. A pivot table is a powerful data summarization tool. It allows you to: In Pandas, pivot tables are created using the pivot_table() function. Basic Syntax of…

You can use df.sort_values() to sort a Pandas DataFrame. In this guide, you’ll see four practical sorting examples: To begin, consider the following dataset about cars: Brand Price Year HH 22000 2015 TT 25000 2013 FF 27000 2018 AA 35000…

In this guide, you’ll see two practical methods to create a Pandas DataFrame in Python: Both methods are commonly used depending on whether your data is manually defined or stored externally. Method 1: Typing the Values Directly in Python To…

Here are two common ways to concatenate column values in a Pandas DataFrame: (1) For strings only: (2) For a mix of strings and integers (or only integers): When numeric columns are involved, you must convert them to strings before…

In this guide, you’ll learn five different techniques to apply an IF condition in a Pandas DataFrame. These approaches are commonly used when transforming, cleaning, or categorizing data. Specifically, you’ll see how to apply an IF condition for: You’ll also…

To import an Excel file into Python using Pandas, you can use the read_excel() function as shown below: If you need to import a specific worksheet from the Excel file, you can specify the sheet name: Steps to Import an…

In this short guide, you’ll see how to import into Python a CSV file that has a variable name. This is especially useful when the file name changes regularly, such as when it includes a date. The Example Suppose you…