USANDO IRONPDF PARA PYTHON

Cómo Generar Un Informe PDF en Python

Actualizado:julio 28, 2025

Generating PDF file reports is a common requirement for data analysis and data scientists. IronPDF is a versatile library that enables the creation of PDF table files in Python code applications, similar to the FPDF library in PHP. This tutorial will guide you through using IronPDF to create and write reports in PDF from HTML templates or URLs, which can be time-consuming if not done correctly.

IronPDF: Python PDF Library

IronPDF is a comprehensive library designed for Python applications to create PDFs, edit, and extract content from PDF files. It's a powerful tool that caters to the needs of software engineers who often face the challenge of generating final results for PDF documents from various data sources or templates. With IronPDF, users can effortlessly transform HTML content or URLs into PDF files, manipulate PDF content, and integrate these capabilities into Python code projects, making it an essential library for any Python developer dealing with PDF generation and manipulation tasks.

IronPDF also allows you to build interactive forms, split and combine PDF files, extract text and images from PDF files, search for certain words within a PDF file, rasterize PDF pages to images, as well as print PDF files.

Prerequisites

The first step is to make sure you meet the following prerequisites:

Python 3.7 or higher installed on your system.
.NET 6.0 runtime installed since the IronPDF library relies on .NET 6.0 as its underlying technology.

You can install the .NET 6.0 runtime from the official .NET download page.

Installation

To use IronPDF, you need to install the package via pip:

pip install ironpdf

pip install ironpdf

SHELL

How to Generate A PDF Report in Python, Figure 1: Install IronPDF Install IronPDF

IronPDF will automatically download additional dependencies upon its first run.

Creating a Simple PDF Document

Here's a sample code example to generate a simple PDF document using an HTML template:

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render an HTML string as a PDF document
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>")

# Save the rendered PDF to a file
pdf.SaveAs("hello_world.pdf")

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render an HTML string as a PDF document
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>")

# Save the rendered PDF to a file
pdf.SaveAs("hello_world.pdf")

PYTHON

This code snippet converts an HTML string into a PDF file and saves it in the same folder as your Python script.

Generating PDF from URL

IronPDF can also create a PDF from a web page URL with the following sample code:

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render a URL as a PDF document
pdf = renderer.RenderUrlAsPdf("https://ironpdf.com/python/")

# Save the rendered PDF to a file
pdf.SaveAs("website_snapshot.pdf")

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render a URL as a PDF document
pdf = renderer.RenderUrlAsPdf("https://ironpdf.com/python/")

# Save the rendered PDF to a file
pdf.SaveAs("website_snapshot.pdf")

PYTHON

Generating PDF Reports with Data Frames

Creating professional-looking PDF reports is straightforward with IronPDF and Python. Here's how you can generate an enhanced report using detailed data frames and customized HTML styling:

Step 1: Importing Libraries

First, you need to import the required libraries. ChromePdfRenderer from IronPDF is essential for the PDF generation process. This library enables the conversion of HTML content to PDF documents. Additionally, import pandas, a powerful data manipulation library, to create and manage data frames. Pandas will be used to structure your report data in a tabular format.

from ironpdf import ChromePdfRenderer
import pandas as pd

from ironpdf import ChromePdfRenderer
import pandas as pd

PYTHON

Step 2: License Key Configuration

Activating IronPDF requires setting your license key. This step is crucial as it unlocks all features of IronPDF, allowing you to generate PDFs without any watermarks or limitations. It's a simple yet vital step for professional use of the library.

License.LicenseKey = "Your-License-Key"

License.LicenseKey = "Your-License-Key"

PYTHON

Step 3: Creating a Data Frame

Here, you'll create a data frame using Pandas. This data frame acts as the data source for your report. The example provided includes detailed employee information, demonstrating Pandas' capability in handling and structuring complex data sets. The data frame can be customized based on the specifics of the report you intend to create.

data = {
    'Employee ID': [101, 102, 103, 104],
    'Name': ['John Doe', 'Alice Smith', 'Bob Johnson', 'Emily Davis'],
    'Age': [28, 34, 45, 29],
    'Department': ['Sales', 'HR', 'IT', 'Marketing'],
    'City': ['New York', 'London', 'San Francisco', 'Berlin']
}
df = pd.DataFrame(data)

data = {
    'Employee ID': [101, 102, 103, 104],
    'Name': ['John Doe', 'Alice Smith', 'Bob Johnson', 'Emily Davis'],
    'Age': [28, 34, 45, 29],
    'Department': ['Sales', 'HR', 'IT', 'Marketing'],
    'City': ['New York', 'London', 'San Francisco', 'Berlin']
}
df = pd.DataFrame(data)

PYTHON

Step 4: Designing the HTML Template

In this step, you'll design an HTML template with CSS styling. This template defines the visual presentation of your PDF report. CSS styling enhances the visual appeal and readability of the data presented in the report. The dynamic insertion of the data frame into this HTML template is handled through Python's string formatting.

# HTML styling for the PDF report
html_style = """
<html>
<head>
<style>
  table, th, td {
    border: 1px solid black;
    border-collapse: collapse;
    padding: 5px;
    text-align: left;
  }
  th {
    background-color: #f2f2f2;
  }
</style>
</head>
<body>
  <h2>Company Employee Report</h2>
  {table}
</body>
</html>
"""

# Replace {table} with the HTML representation of the data frame
html_content = html_style.format(table=df.to_html(index=False, border=0))

# HTML styling for the PDF report
html_style = """
<html>
<head>
<style>
  table, th, td {
    border: 1px solid black;
    border-collapse: collapse;
    padding: 5px;
    text-align: left;
  }
  th {
    background-color: #f2f2f2;
  }
</style>
</head>
<body>
  <h2>Company Employee Report</h2>
  {table}
</body>
</html>
"""

# Replace {table} with the HTML representation of the data frame
html_content = html_style.format(table=df.to_html(index=False, border=0))

PYTHON

Step 5: Rendering and Saving the PDF

Finally, use IronPDF's ChromePdfRenderer to convert the HTML content into a PDF document. The RenderHtmlAsPdf method processes the HTML and CSS, converting it into a PDF file. The SaveAs function is then used to save this file, resulting in a well-formatted, visually appealing PDF report. This step encapsulates the conversion process, combining the data and template into a final document.

# Render the HTML string to a PDF document
renderer = ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf(html_content)

# Save the rendered PDF to a file
pdf.SaveAs("enhanced_employee_report.pdf")

# Render the HTML string to a PDF document
renderer = ChromePdfRenderer()
pdf = renderer.RenderHtmlAsPdf(html_content)

# Save the rendered PDF to a file
pdf.SaveAs("enhanced_employee_report.pdf")

PYTHON

Output

Here is the output report in PDF:

How to Generate A PDF Report in Python, Figure 2: Company Employee Report Company Employee Report

Creating a Simple PDF Document

Here's a sample code to generate a simple PDF document using an HTML template:

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render an HTML string as a PDF document
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>")

# Save the rendered PDF to a file
pdf.SaveAs("hello_world.pdf")

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render an HTML string as a PDF document
pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>")

# Save the rendered PDF to a file
pdf.SaveAs("hello_world.pdf")

PYTHON

This code snippet converts an HTML string into a PDF file and saves it in the same folder as your Python script.

Generating PDF from URL

IronPDF can also create a PDF from a web page URL with the following sample code:

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render a URL as a PDF document
pdf = renderer.RenderUrlAsPdf("https://ironpdf.com/python/")

# Save the rendered PDF to a file
pdf.SaveAs("website_snapshot.pdf")

from ironpdf import ChromePdfRenderer

# Create a PDF renderer using the ChromePdfRenderer class
renderer = ChromePdfRenderer()

# Render a URL as a PDF document
pdf = renderer.RenderUrlAsPdf("https://ironpdf.com/python/")

# Save the rendered PDF to a file
pdf.SaveAs("website_snapshot.pdf")

PYTHON

This will save a PDF snapshot of the specified webpage.

Conclusion

IronPDF is a powerful tool for Python developers and data scientists to generate PDF reports. By following this guide, you can easily integrate PDF generation into your Python projects, whether you're creating PDFs from HTML templates, URLs, or data frames. Remember to explore IronPDF's extensive documentation and examples to leverage its full capabilities for your PDF tasks such as adding a pie chart.

Keep experimenting with different features and options IronPDF provides to create PDF reports that meet your needs. With the right approach, what seems like a time-consuming task can become an efficient and automated part of your workflow.

IronPDF offers a free trial, allowing users to fully explore its features before committing to a purchase. Additionally, it's free for development purposes, providing a cost-effective solution for developers during the development phase. For commercial deployment, licensing for IronPDF starts at $799, catering to professional and enterprise-level needs.

Preguntas Frecuentes

¿Cómo genero un informe PDF a partir de una plantilla HTML en Python?

Con IronPDF, puedes generar un informe PDF a partir de una plantilla HTML usando la clase ChromePdfRenderer. Esta clase te permite renderizar el contenido HTML en un PDF y guardarlo usando el método SaveAs.

¿Cuáles son los requisitos previos para usar IronPDF para la generación de PDF en Python?

Para usar IronPDF para la generación de PDF en Python, asegúrate de tener Python 3.7 o una versión más reciente instalada, junto con el runtime .NET 6.0, que se puede descargar desde la página oficial de descargas de .NET.

¿Cómo puedo instalar IronPDF en mi entorno de Python?

IronPDF se puede instalar en tu entorno de Python utilizando el gestor de paquetes pip. Ejecuta el comando pip install ironpdf en tu terminal, y se instalarán los paquetes necesarios.

¿Puedo crear un PDF a partir de un data frame en Python?

Sí, puedes crear un PDF a partir de un data frame en Python utilizando IronPDF. Importa las bibliotecas necesarias, crea tu data frame, diseña una plantilla HTML que represente los datos, y utiliza ChromePdfRenderer para renderizar y guardar el PDF.

¿Es posible convertir una URL en un documento PDF en Python?

IronPDF te permite convertir una URL en un documento PDF utilizando la clase ChromePdfRenderer. Puedes renderizar la URL como un PDF y guardar el documento en un archivo con esta clase.

¿Cuáles son algunas características avanzadas de la biblioteca IronPDF en Python?

IronPDF ofrece características avanzadas como la creación de formularios interactivos, dividir y combinar archivos PDF, extraer texto e imágenes, buscar dentro de PDFs, rasterizar páginas a imágenes, e imprimir archivos PDF.

¿Hay una prueba gratuita disponible para IronPDF en Python?

Sí, IronPDF ofrece una prueba gratuita que te permite explorar sus características. La prueba también es gratuita para fines de desarrollo, lo que la convierte en una opción económica durante las etapas iniciales de tu proyecto.

¿Cómo puedo solucionar problemas con la generación de PDF en Python?

Si encuentras problemas con la generación de PDF utilizando IronPDF, asegúrate de tener instaladas las versiones correctas de Python y del runtime .NET. Además, verifica que todas las dependencias necesarias estén correctamente instaladas y configuradas.

Curtis Chau

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Escritor Técnico

Curtis Chau tiene una licenciatura en Ciencias de la Computación (Carleton University) y se especializa en el desarrollo front-end con experiencia en Node.js, TypeScript, JavaScript y React. Apasionado por crear interfaces de usuario intuitivas y estéticamente agradables, disfruta trabajando con frameworks modernos y creando manuales bien ...