Have you ever found yourself struggling to convert Xlsx and Xls files into PDF format? Whether it’s for work or personal use, this task can often be tedious and time-consuming. But fear not, because Python’s latest versions offer a simple and efficient solution to this problem!
With just a few lines of code, you can easily convert your Xlsx and Xls files to PDF format using Python. This powerful programming language offers a range of libraries and modules that streamline the conversion process and produce high-quality results every time.
In this article, we’ll walk you through the steps required to convert Xlsx and Xls files to PDF using Python’s latest versions. From installing the necessary libraries to writing the code and running the program, we’ll cover everything you need to know.
So if you’re tired of manually converting Xlsx and Xls files to PDF, it’s time to embrace the power of Python. Follow along with our tutorial and discover just how easy it can be to automate your file conversions and save valuable time in the process!
“.Xlsx And Xls(Latest Versions) To Pdf Using Python” ~ bbaz
Introduction
Python is a popular programming language when it comes to automating tasks. Converting Xlsx and Xls files to PDF format has become necessary for many industries. In this article, we will compare Python’s latest versions and their ability to convert Excel files into PDF format.
Python 2 vs Python 3
Python 2 and 3 are two distinct languages, which means that they have different syntax and behavior. Python 2 was the most widely used version until recently when Python 3 surpassed it in popularity. Python 2, however, is still being used especially in legacy systems. The main difference between Python 2 and 3 is that Python 3 is more explicit, consistent, and streamlined.
The xlxswriter Package
The xlsxwriter package is a Python module that is used to create Excel files in xlsx format. It can be used to write text, numbers, dates, and formulas. The xlsxwriter package can also be used to format cells, rows, and columns, and to add images and charts to Excel files. Although it doesn’t come with a built-in feature to convert Excel files to PDF, we can convert files using another package called “pyPDF”.
The pyPDF Package
PyPDF is an open-source Python library used to manipulate PDF documents. It can extract information about a PDF document and allow us to modify, split, or merge multiple PDF documents. The PyPDF package also supports encryption and decryption of PDF documents. We can utilize this package to convert Excel files to PDF documents by first creating an Excel file with xlsxwriter then opening the file and using the pyPDF package to save the file as a PDF.
How to Convert an Xlsx and Xls file to a PDF using Python 2
To convert an Xlsx or Xls file to PDF format in Python 2, we would first use the xlsxwriter module to create the Excel file. Once this is done, we then use the pyPDF package to create a PDF copy of the Excel file. We can accomplish this using the following code:
| Action | Python 2 Code |
|---|---|
| Create an Excel File | import xlsxwriterworkbook = xlsxwriter.Workbook(‘example.xlsx’)worksheet = workbook.add_worksheet()worksheet.write(‘A1’, ‘Hello world’)workbook.close() |
| Convert to PDF | import osfrom pyPdf import PdfFileWriter, PdfFileReaderoutput_file = PdfFileWriter()input_file = PdfFileReader(file(example.xlsx, rb))page_count = input_file.getNumPages()for page_number in range(page_count): output_file.addPage(input_file.getPage(page_number))output_stream = file(example.pdf, wb)output_file.write(output_stream)output_stream.close() |
Step by Step Explanation – Python 2
The above script first imports the xlsxwriter module and uses it to create an Excel workbook containing a single worksheet with the string “Hello world” written in cell A1. The workbook is saved as example.xlsx.
We then import the os and PyPDF modules, open the Xlsx file that was created in the previous line, and add each page from it to a new PDF object. This combined PDF is then saved to a file named ‘example.pdf’ in the current working directory.
How to Convert an Xlsx or Xls file to a PDF using Python 3
The process of converting an Xls or Xlsx file to a PDF file using Python 3 is quite similar to the Python 2 approach, with some small syntax changes. We first create an Excel file, and then we use the pyPDF module to convert the Excel file to a PDF document.
| Action | Python 3 Code |
|---|---|
| Create an Excel File | import xlsxwriterworkbook = xlsxwriter.Workbook(‘example.xlsx’)worksheet = workbook.add_worksheet()worksheet.write(‘A1’, ‘Hello world’)workbook.close() |
| Convert to PDF | from PyPDF2 import PdfFileWriter, PdfFileReaderoutput_file = PdfFileWriter()input_file = PdfFileReader(open(‘example.xlsx’, ‘rb’))page_count = input_file.getNumPages()for page_number in range(page_count): output_file.addPage(input_file.getPage(page_number))with open(‘example.pdf’, ‘wb’) as f: output_file.write(f) |
Step by Step Explanation – Python 3
The code above shows the steps needed to convert an Excel file to a PDF using Python 3. It begins by creating a new Excel workbook containing a single worksheet, with the string “Hello world” written in cell A1.
We then import the PyPDF2 modules and create a new PDF, reading in pages from the Excel file created previously, and writing them to a new PDF file called example.pdf.
Using Alternative Packages
Aside from the xlsxwriter and PyPDF2 modules, there are other libraries available that can help convert Excel files to PDF documents. We can use the ReportLab and Pandas modules, which offer a wealth of features for generating PDF files.
ReportLab Module
The ReportLab module is another Python package that allows users to create PDF documents using Python. It is a flexible library that can create complex documents such as invoices, business cards, and reports. To convert an Xlsx or Xls file to a PDF using this module, we can use the following code:
| Action | ReportLab Code |
|---|---|
| Create a PDF | import xlsxwriterfrom reportlab.pdfgen import canvas workbook = xlsxwriter.Workbook(‘example.xlsx’)worksheet = workbook.add_worksheet()worksheet.write(‘A1’, ‘Hello world’)workbook.close()excel_file = example.xlsxpdf_file = example.pdfc = canvas.Canvas(pdf_file)for page in range(page_count): image = ImageReader(excel_file) c.drawImage(image, 0, 0, width=None, height=None, preserveAspectRatio=False)c.save() |
Step by Step Explanation – ReportLab Module
The script above begins by importing the xlsxwriter module, which we use to create an Excel workbook containing a single worksheet with the string “Hello world” written in cell A1.
We then import the canvas function from the reportlab.pdfgen module and open the Excel file in read-only mode.
The next step is to create a new PDF object using the canvas function of the reportlab module. Using a for loop, we then iterate over pages in the Excel worksheet, adding each page to the PDF using the drawImage function.
Pandas Module
The Pandas module is a data manipulation tool that can also convert Excel files to PDF format. We install pandas with pip.
| Action | Pandas Code |
|---|---|
| Convert to PDF | import pandas as pddf = pd.read_excel(‘example.xlsx’)html_table = df.to_html()with open(‘example.html’, ‘w’) as f: f.write(html_table)from xhtml2pdf import pisa #import python modulesource_file = open(‘example.html’)source_code = str(source_file.read())output_pdf_file = open(‘example.pdf’, ‘w+b’)pisa_status = pisa.CreatePDF( source_code, dest=output_pdf_file) #Create the PDFoutput_pdf_file.close()source_file.close() |
Step by Step Explanation – Pandas Module
The code above first imports the pandas module and reads the example.xlsx file to a dataframe. The dataframe is then converted to an html table format that can easily be viewed in a web browser.
We then open the file we just created and read the contents to a string. Using the xhtml2pdf module, we create a new PDF file from the HTML table. The finished PDF is then saved to the specified output PDF file.
Conclusion
Python provides flexibility when it comes to converting Xlsx and Xls files to PDF format. We can use various third-party packages such as PyPDF2, ReportLab, and Pandas to achieve this task. Python 3 has some advantages over Python 2, including better support for Unicode, new-style classes, and language constructs such as the with-statement.
The PyPDF2 module is a powerful PDF manipulation library that allows users to read and write PDFs. The ReportLab module is another Python package that is commonly used to create PDF documents. Pandas, on the other hand, is a data manipulation tool that can also convert Excel files to PDF format.
Overall, which package to use depends on your use case and data structure. We hope this article has been helpful in comparing different methods to convert Excel files to PDF using Python.
Dear readers, we hope that our article on converting Xlsx and Xls files to PDF using Python’s latest versions has been informative and helpful to you. As we conclude this blog, we want to recap what we’ve learnt and offer some final thoughts on the topic.
Firstly, we’ve seen how versatile Python can be when it comes to handling data and processing large amounts of information. With just a few lines of code, we can convert multiple Excel files to PDF without any hassle. This is particularly useful for businesses and individuals who need to share reports, spreadsheets, or other documents with clients or colleagues.
Secondly, we’ve highlighted the importance of staying up-to-date with the latest versions of Python and its libraries. While older versions may still work, newer versions often come with additional features and improvements that can make our coding experience smoother and more efficient.
Finally, we encourage you to continue exploring the capabilities of Python and other programming languages in your quest to become a better developer. Whether you’re a beginner or an experienced coder, there’s always something new to learn, and the possibilities are endless.
Thank you for taking the time to read our article, and we wish you all the best in your future programming endeavors!
People also ask about Convert Xlsx and Xls to PDF with Python’s Latest Versions:
- What is the process to convert Xlsx and Xls files to PDF using Python?
- Is it possible to convert multiple Xlsx and Xls files to PDF at once using Python?
- Can Python convert Xlsx and Xls files to PDF without losing formatting?
- How can I add headers and footers to the PDF file generated from Xlsx and Xls files using Python?
- Are there any limitations to converting Xlsx and Xls files to PDF using Python?
The process to convert Xlsx and Xls files to PDF using Python involves installing the required libraries, importing them into the code, opening the Excel file, specifying the range of cells to be converted, and saving the file in PDF format. Some of the popular libraries used for this purpose are PyXLL, openpyxl, and pandas.
Yes, it is possible to convert multiple Xlsx and Xls files to PDF at once using Python. This can be achieved by using a loop to iterate through all the files in a directory and applying the conversion process to each file.
Yes, Python can convert Xlsx and Xls files to PDF without losing formatting. This can be achieved by using the appropriate libraries and specifying the correct options during the conversion process.
To add headers and footers to the PDF file generated from Xlsx and Xls files using Python, you can use the PyPDF2 library. This library allows you to add text, images, and other elements to the PDF file at specific locations.
One limitation of converting Xlsx and Xls files to PDF using Python is that the formatting may not always be preserved. Additionally, some libraries may not support all the features of Excel, such as macros and formulas.
