USING IRONPDF FOR PYTHON

How to Use Python to Create PDF Reports

Updated March 26, 2024
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Introduction

For businesses and organizations to successfully communicate insights in the data-driven world of today, they must provide thorough and aesthetically appealing reports. With its many libraries and adaptability, Python provides a strong foundation for data analysis and manipulation. On the other hand, developers frequently look for strong tools that make the process of making professional reports easier. A solution that bridges the gap between PDF file generation is IronPDF. This post will discuss how we can use Python to create PDFs using IronPDF. The question shows research effort on the Python library.

How to Use Python to Create PDF Reports

  1. Create a new Python project.
  2. Download the IronPDF library and import IronPDF.
  3. Create an instance of IronPDF.
  4. Render HyperText Markup Language as PDF.
  5. Save the PDF to a file.
  6. Optionally, open PDF in the default viewer.

IronPDF

Data scientists may now expedite report generation, a procedure that has historically been a time-consuming task, with the help of IronPDF. IronPDF allows for the transformation of a data frame into aesthetically pleasing PDF reports, so they can efficiently communicate findings without having to spend hours formatting.

This speeds up the process of discovery by enabling them to concentrate on analysis and exploration. The use of IronPDF removes the requirement for static pictures and manual file preparation, opening the door to the possibility of an interactive graph inside PDF reports (albeit IronPDF itself does not natively provide this functionality). This has the potential to improve user interaction with the reports and data presentation even more.

Creating and modifying PDF reports in your Python applications is made easier with the help of the IronPDF for Python package. By converting HTML code, webpage content (URLs), or even already-existing HTML files into properly formatted PDF documents, it functions as a bridge. For extra protection, you can alter the layouts, include tables and photos, and even password-protect important reports. With its seamless integration into your Python scripts, IronPDF is a useful tool for producing insightful and polished PDF reports.

Features of IronPDF

  • PDF Generation: Using Python code, IronPDF enables you to create PDF documents dynamically. You can start from the beginning when creating PDFs or convert pre-existing HTML information, including web pages or templates, to PDF format.
  • Converting HTML information to PDF format while maintaining the original HTML's layout, styles, and elements is possible with IronPDF. With the help of this function, you may create PDF invoices, reports, and other documents using HTML templates.
  • PDF Manipulation: IronPDF can work with PDF documents. It can combine several PDFs into one, separate a PDF into different documents, extract pages, and add or remove pages.
  • Text and Image Rendering: Text and images contained in PDF documents can be rendered using IronPDF. This involves putting text inside the PDF, choosing fonts, sizes, and colors, and embedding images.
  • IronPDF provides security and encryption capabilities to safeguard PDF documents. To manage access to a PDF, you can impose password-protected encryption, limit who is allowed to print or duplicate the material, and adjust other security options.

Remember that IronPDF's functionality and availability in Python can change, so for the most accurate and recent information, be sure to consult IronPDF's official documentation or other resources.

New Project in Pycharm

This session will use Pycharm, an IDE for developing Python programs.

After the Pycharm IDE launches, choose "New Project".

How to Use Python to Create PDF Reports: Figure 1 - PyCharm

By choosing "New Project," you can customize the project's location and surroundings in a new window. The following screenshot shows this new window in action.

How to Use Python to Create PDF Reports: Figure 2 - New Project

Click the "Create" button to start a new project after choosing the project location and setting the Python environment. After creating the project, it will open in a new tab.

How to Use Python to Create PDF Reports: Figure 3 - New Tab

Requirements to Use IronPDF

Make sure you have the following conditions satisfied before looking at the code examples:

  • Python: For IronPDF to work properly, Python version 3.7 or higher is needed.
  • .NET 6.0 Runtime: The essential features of IronPDF rely on the .NET 6.0 runtime environment. Depending on your operating system, download and install the relevant runtime from the official .NET website.
  • Installation of the IronPDF Library: To install the IronPDF library in your Python environment, use the pip package manager. Execute the following command on an open terminal or command prompt:
 pip install ironpdf

The screenshot below shows how the 'IronPDF' package is configured.

How to Use Python to Create PDF Reports: Figure 4 - Install IronPDF

Generating a Basic PDF Report from HTML String

Let's start with a basic example that shows you how to take an HTML text and turn it into a PDF report. This is the code in Python:

from ironpdf import ChromePdfRenderer
# Define the HTML content of your report
html_content = """
<h1>Sales Report - Q1 2024</h1>
<p>This report summarizes sales figures for the first quarter of 2024.</p>
<table>
    <thead>
        <tr>
            <th>Product</th>
            <th>Quantity Sold</th>
            <th>Total Revenue</th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <td>Widget A</td>
            <td>100</td>
            <td>$1000</td>
        </tr>
        <tr>
            <td>Widget B</td>
            <td>75</td>
            <td>$750</td>
        </tr>
    </tbody>
</table>
"""
# Create a ChromePdfRenderer instance
renderer = ChromePdfRenderer()
# Render the HTML string as a PDF document
pdf = renderer.RenderHtmlAsPdf(html_content)
# Save the PDF document with a filename
pdf.SaveAs("sales_report.pdf")
print("PDF report generated successfully!")
PYTHON

The HTML text that represents the report's structure and data is first defined by this code. After that, a ChromePdfRenderer object is created, serving as the conversion engine between HTML and PDF. Using the HTML string as input, the RenderHtmlAsPdf function creates an instance of a PdfDocument. Ultimately, the created PDF document is saved with a specified filename using the SaveAs function.

Below is the output report generated from the above code.

How to Use Python to Create PDF Reports: Figure 5 - Report Output

Creating a PDF Report from an HTML File

IronPDF is a handy option if you would rather keep your report content in a separate HTML file. As an illustration, consider the below Python script:

from ironpdf import ChromePdfRenderer
# Define the path to your HTML report file
html_file_path = "report.html"
# Create a ChromePdfRenderer instance
renderer = ChromePdfRenderer()
# Render the HTML file as a PDF document
pdf = renderer.RenderHtmlFileAsPdf(html_file_path)
# Save the PDF document with a filename
pdf.SaveAs("report.pdf")
print("PDF report generated from HTML file!")
PYTHON

The HTML file containing the layout and data for your report is defined by this code. Next, it makes use of the RenderHtmlFileAsPdf function, passing it to the file path as input. The following procedures for storing the PDF file are the same as in the prior illustration.

Generating a PDF Report from a URL

With IronPDF, you may generate PDF reports using content that has been obtained from websites. Here's how to make this happen:

from ironpdf import ChromePdfRenderer
# Define the URL of the web page you want to convert
url = "https://www.example.com/report"
# Create a ChromePdfRenderer instance
renderer = ChromePdfRenderer()
# Render the URL content
PYTHON

To learn more about the IronPDF code, refer here.

Conclusion

For Python developers looking to easily and professionally create PDF reports, IronPDF opens up a world of possibilities. Through the utilization of Python and IronPDF, developers may effectively leverage the power of .NET within their Python environment, facilitating smooth integration and allowing robust PDF-generating capabilities. IronPDF enables Python developers to produce polished PDF reports that convey information clearly and professionally, whether they are producing invoices, financial reports, or business insights. IronPDF is an important tool for improving document generation in Python applications because of its performance, versatility, and ease of use.

A permanent license and a year of software support are included in the $749 Lite bundle, which also offers upgrade options. With restrictions on redistribution and time, IronPDF provides free licensing. Users can evaluate the solution in actual use, watermark-free, during the trial time. Regarding the cost and licensing of the trial edition, please visit the IronPDF website for more information. Click this link to find out more about Iron Software's other offerings.

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