Sep 17, 2025 · pandas is the most popular library for data analysis in Python. It can quickly load Excel files into a DataFrame, making it easy to explore and manipulate tabular data.

You can read the first sheet, specific sheets, multiple sheets or all sheets. Pandas converts this to the DataFrame structure, which is a tabular like structure.

Feb 12, 2025 · In this tutorial, I explained how to read an Excel file in Python. I discussed an example of reading an Excel file, how to read multiple sheets, handling missing data, reading …

Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets.

May 21, 2025 · In this comprehensive guide, I‘ll walk you through everything you need to know about reading Excel files with Python—from basic operations to advanced techniques that will …

Apr 23, 2025 · Python offers several libraries to handle Excel files, each with its own set of features and capabilities. In this blog, we will explore the fundamental concepts, usage …

Aug 9, 2022 · To import the Excel spreadsheet into a pandas DataFrame, first, we need to import the pandas package and then use the read_excel() method: If you want to load only a limited …

Feb 13, 2020 · Now we can import the Excel file using the read_excel function in Pandas to read Excel file using Pandas in Python. The second statement reads the data from Excel and stores …

Jun 25, 2024 · By following a few simple steps, you can open, read, and manipulate Excel files using Python’s powerful libraries. This article will guide you through the process, making it …

Dec 3, 2024 · Learn how to use Excel with Python. Follow our step-by-step tutorial to read and import Excel files with Pandas and openpyxl.