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Python is one of the most popular data management and analysis programming languages.
This article will cover some of the most useful Python libraries for dealing with data, especially Excel spreadsheets.
Why Use Python for Data Management?
Now, we will explore the libraries for data management in Python.
OpenPyXL
OpenPyXLis a Python library for reading files from Microsoft Excel 2010 or later.
File extensions supported include .xlsx, .xlsm, .xltm, and .xltx files.
It is one of Pythons most popular libraries for Excel Data Management.
The library lets you open files, create sheets, modify their metadata, and read and write data.
This makes it possible to manage your Excel data from Python easily.
pandas
pandasis an immensely popular library for data management, analysis, and manipulation in Python.
It is free, open-source, and offers incredible flexibility, ease of use, and speed.
It is capable of reading data from different formats, including Excel.
The library is powerful and remains one of the most important tools in a data scientists toolbox.
Like the other libraries on this list, it is free and open-source.
However, it only supports spreadsheets in the traditional .xls file format.
Despite this, it remains a popular library for data management.
pyexcel
pyexcelaims to provide a single API for working with different Excel/spreadsheet file formats.
These include csv, ods, xls, xlsx, and other file formats.
The library is also free and open-source.
PyExcelerate
PyExcelerateis a library that is used to write spreadsheets quickly and efficiently.
It is heavily optimized for speed.
PyExcelerate only supports writing spreadsheets.
However, unlike most libraries o this list, it also supports adding styles.
This library would be most helpful if you had to generate many spreadsheets quickly.
xlwings
xlwingsis an open-core package that works with Microsoft Excel ad Google Sheets.
It is a spreadsheet automation solution that offers a healthy alternative to VBA Macros and Power Query.
Being open-core means the core version is free and open-source.
However, there is a pro version that offers additional features and support but is paid.
xlwings users include companies such as Accenture, Nokia, Shell, and the European Commission.
xlSlim
xlSlimenables you to work with spreadsheets as though they were Jupyter notebooks.
With xlSlim, it’s possible for you to write code in interactive cells in your spreadsheets.
This code can interact with data in your workbook and perform computations.
xlSlim also provides a built-in editor for your Python code.
With NumPy, you’re able to import data fromCSVfiles into NumPy arrays.
It is also possible to write the data back into CSV files.
Pycel
Pycelcompiles your Excel workbooks into a Python graph that can be executed outside of Excel.
The computation graph generated contains nodes for all cells in the workbook and their relationships.
formulas
formulasis another interpreter for your Excel workbooks.
The open-source Python package reads your Excel workbooks, parses your Excel formulas, and compiles them to Python.
This Python can make faster computations on different computers without installing an Excel COM server.
PyXLL
PyXLLprovides a front-end UI for using Python in Excel.
In addition, you might define functions that you might use in your spreadsheet cells.
Essentially, it functions as a substitute for VBA.
Final Words
This article reviewed the different Python libraries used for data management in Excel spreadsheets.
With these libraries, you might perform more complicated tasks and use Pythons rich ecosystem to manage your data.
Next, check out how to create a Pandas DataFrame.
