Notes For specific information on the methods used for each Excel engine, refer to the pandas user guide Examples The file can be read using the file name as string or an open file object:

See also to_csv Write DataFrame to a comma-separated values (csv) file. ExcelWriter Class for writing DataFrame objects into excel sheets. read_excel Read an Excel file into a pandas DataFrame. …

pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!

pandas.ExcelWriter # class pandas.ExcelWriter(path, engine=None, date_format=None, datetime_format=None, mode='w', storage_options=None, if_sheet_exists=None, …

For users that are new to Python, the easiest way to install Python, pandas, and the packages that make up the PyData stack such as SciPy, NumPy and Matplotlib is with Anaconda, a cross-platform (Linux, …

User Guide # The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, …

Comparison with spreadsheets # Since many potential pandas users have some familiarity with spreadsheet programs like Excel, this page is meant to provide some examples of how various …

pandas.ExcelFile # class pandas.ExcelFile(path_or_buffer, engine=None, storage_options=None, engine_kwargs=None) [source] # Class for parsing tabular Excel sheets into DataFrame objects. See …

Mar 30, 2026 · pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

pandas supports the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,…). The ability to import data from each of these data sources is provided by functions …