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.

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 …

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.

May 31, 2010 · You can use any of the libraries listed here (like Pyxlreader that is based on JExcelApi, or xlwt), plus COM automation to use Excel itself for the reading of the files, but for …

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.

Feb 27, 2015 · I have a 14MB Excel file with five worksheets that I'm reading into a Pandas dataframe, and although the code below works, it takes 9 minutes! Does anyone have …

Feb 7, 2018 · Use book.sheet_by_index() and pass argument. For example: book.sheet_by_index(0) returns the first sheet. Read through this for more info …

I have an Excel sheet with duplicate header names because the sheet contains several similar tables. I want to read those tables individually, so I would want to apply usecols.

Jul 15, 2015 · You can check xlrd or openpyxl for reading .xls or .xlsx files in Python. Or, you can convert your excel workbook to .csv file and read it using Python's csv module or combine …

Jul 23, 2025 · In this example, a Python program uses the openpyxl module to read an Excel file ("gfg.xlsx"), opens the workbook, and retrieves the value of the cell in the first row and first …