How to Read Xlsx Files in Python

This tutorial shows you how to read Xlsx files in Python using the openpyxl library.

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Introduction

If you’re working with data in Python, you’re likely going to need to read in files from a variety of different sources. One of the most common file formats is the Xlsx file – a file saved in the Microsoft Excel Open XML Format. Fortunately, Python makes it easy to read and write these files.

In this article, we’ll show you how to read Xlsx files in Python using the openpyxl library. We’ll also walk through a couple of examples so you can see how it works in practice.

Reading Xlsx Files in Python

Python makes it easy to work with Xlsx files. Here are some tips for reading Xlsx files in Python:

– Use the openpyxl library to read Xlsx files. This library is available on PyPI, so you can install it using pip:
– Once you have the openpyxl library installed, you can use it to read Xlsx files like this:
– The above code will read the first sheet in the file and print out the values in each row.

Libraries for Reading Xlsx Files in Python

There are many libraries available for reading and writing Xlsx files in Python. The two most popular are the openpyxl and xlrd libraries.

The openpyxl library is popular for its user-friendly API and its ability to read and write from a variety of file formats. It can be used to read and write Xlsx files, as well as CSV, XML, and HTML files.

The xlrd library is popular for its speed and accuracy when reading Xlsx files. It can also be used to read CSV, XML, and HTML files.

Reading Xlsx Files in Python using Pandas

Pandas is a popular Python library for data analysis. It provides a powerful set of tools for working with data, including data frames and Excel files. In this article, we’ll show you how to read an Xlsx file in Python using the Pandas library.

First, we’ll import the Pandas library:

“`python
import pandas as pd
“`

Next, we’ll read in the Excel file:

“`python
df = pd.read_excel(“file.xlsx”)
“`

Finally, we’ll print out the contents of the DataFrame:

Reading Xlsx Files in Python using xlrd

Excel is a popular spreadsheet format, and xlrd is a library that allows you to read Excel files in Python. You can use xlrd to read data from cells in an Excel file, including formulas, number formats, and comments.

To read an Excel file in Python using xlrd, you first need to install the xlrd library. You can do this using pip:

pip install xlrd

Once the library is installed, you can use it to read data from an Excel file. For example, the following code will read the contents of cell A1 from a file called ‘file.xlsx’:

import xlrd

book = xlrd.open_workbook(‘file.xlsx’)
sheet = book.sheet_by_index(0) # Select the first sheet
cell = sheet.cell(0,0) # Get the value of cell A1
print(cell)

Reading Xlsx Files in Python using openpyxl

If you want to read Xlsx files in Python using openpyxl, first import the openpyxl module:

Next, create a workbook object by calling the openpyxl.load_workbook() function:

Once you have a workbook object, you can access individual worksheets using indexing:

You can also access worksheets by name:

To read data from a cell, use the cell() function and pass in the row and column coordinates of the cell you want to read:

The data in the cell will be returned as a string. To get the value of the cell as a number, use the value attribute:

To read multiple cells, you can use slice notation or a range object. For example, to read cells A1 to A10, you can do this:

Comparison of Libraries for Reading Xlsx Files in Python

There are a number of libraries available for reading xlsx files in Python. In this article, we’ll compare a few of the most popular ones.

The first library we’ll look at is xlrd. xlrd is a library for reading data from Excel files (including xlsx files). It’s available for free from http://pypi.python.org/pypi/xlrd. xlrd is relatively easy to use, and it’s available for both Python 2 and Python 3.

Another popular library for reading xlsx files is openpyxl. openpyxl is available for free from http://pypi.python.org/pypi/openpyxl/. openpyxl is a bit more complex than xlrd, but it supports a wider range of features (such as formula calculations). openpyxl is only available for Python 2; if you’re using Python 3, you’ll need to use another library.

Finally, we’ll take a look at pandas. pandas is a scientific computing library that includes support for reading and writing Excel files (among other things). pandas is not free; however, there is a free “community edition” available from http://pandas-dev.github.io/. For our purposes, we’ll be using the read_excel function from pandas, which makes it very easy to read data from an Excel file into a DataFrame (a data structure similar to a table).

Pros and Cons of Reading Xlsx Files in Python

There are a few different ways to read Excel files in Python. One popular way is to use the xlrd package. This package allows you to read data from Excel files (including .xls and .xlsx files). However, there are some drawbacks to using this package. For one, xlrd is a bit slow. Additionally, it can be difficult to extract data from certain types of Excel files (e.g., password-protected files). Another option is to use the openpyxl package. This package is generally faster than xlrd and can handle more complex Excel files. However, openpyxl does not support reading password-protected files.

When to Use Reading Xlsx Files in Python

If you need to extract data from an Excel spreadsheet for use in Python, you’ll need to use the xlrd package. This package allows you to read data from Excel spreadsheets (.xls and .xlsx) into Python as a list of lists, where each inner list represents a row of data from the spreadsheet. This is a handy way to get your data into Python if you already have it in Excel, but it’s not the only way to work with Excel files in Python.

Conclusion

In conclusion, Python is a great language for reading Xlsx files. It has a rich set of libraries that make it easy to manipulate and process data.