Matplotlib - Multipage PDF

A multipage PDF(Portable Document Format) is a type of file that can store multiple pages or images in a single document. Each page within the PDF can have different content, such as plots, images, or text.

Matplotlib provides support for creating multipage PDFs through its backend_pdf.PdfPages module. This feature allows users to save plots and visualizations across multiple pages within the same PDF file.

In certain situations, it becomes necessary to save several plots in one file. While many image file formats like PNG, SVG, or JPEG typically support only a single image per file, Matplotlib provides a solution for creating multipage output. PDF is one such supported format, allowing users to organize and share visualizations effectively.

Creating a Basic multipage PDF

To save plots on multiple pages in a PDF document using Matplotlib, you can make use of the PdfPages class. This class simplifies the process of generating a PDF file with several pages, each containing different visualizations.

Example

Let's start with a basic example demonstrating how to create a multipage PDF with Matplotlib. This example saves multiple figures in one PDF file at once.

from matplotlib.backends.backend_pdf import PdfPages
import numpy as np
import matplotlib.pyplot as plt

# sample data for plots
x1 = np.arange(10)
y1 = x1**2

x2 = np.arange(20)
y2 = x2**2

# Create a PdfPages object to save the pages
pp = PdfPages('Basic_multipage_pdf.pdf')

def function_plot(X,Y):
   plt.figure()
   plt.clf()

   plt.plot(X,Y)
   plt.title('y vs x')
   plt.xlabel('x axis', fontsize = 13)
   plt.ylabel('y axis', fontsize = 13)
   pp.savefig()

# Create and save the first plot
function_plot(x1,y1)
# Create and save the second plot
function_plot(x2,y2)

pp.close()

Output

On executing the above program, 'Basic_multipage_pdf.pdf' will be generated in the directory where the script is saved.

Adding Metadata and Annotations

Matplotlib also supports the addition of metadata and annotations to a multipage PDF. Metadata can include information such as the title, author, and creation date, providing additional context or details about the content within the PDF.

Example

Here is an advanced example, that creates a multipage PDF with metadata and annotations.

import datetime
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages

# Create the PdfPages object to save the pages
with PdfPages('Advanced_multipage_pdf.pdf') as pdf:

   # Page One
   plt.figure(figsize=(3, 3))
   plt.plot(range(7), [3, 1, 4, 1, 5, 9, 2], 'r-o')
   plt.title('Page One')
   # saves the current figure into a pdf page
   pdf.savefig()  
   plt.close()

   # Page Two

   # Initially set it to True. If LaTeX is not installed or an error is caught, change to `False`
   # The usetex setting is particularly useful when you need LaTeX features that aren't present in matplotlib's built-in mathtext.
   plt.rcParams['text.usetex'] = False
   plt.figure(figsize=(8, 6))
   x = np.arange(0, 5, 0.1)
   plt.plot(x, np.sin(x), 'b-')
   plt.title('Page Two')
   # attach metadata (as pdf note) to page
   pdf.attach_note("plot of sin(x)")  
   pdf.savefig()
   plt.close()

   # Page Three
   plt.rcParams['text.usetex'] = False
   fig = plt.figure(figsize=(4, 5))
   plt.plot(x, x ** 2, 'ko')
   plt.title('Page Three')
   pdf.savefig(fig)  
   plt.close()

   # Set file metadata
   d = pdf.infodict()
   d['Title'] = 'Multipage PDF Example'
   d['Author'] = 'Tutorialspoint'
   d['Subject'] = 'How to create a multipage pdf file and set its metadata'
   d['Keywords'] = 'PdfPages multipage keywords author title subject'
   d['CreationDate'] = datetime.datetime(2024, 1, 15)
   d['ModDate'] = datetime.datetime.today()

Output

On executing the above program, 'Advanced_multipage_pdf.pdf' will be generated in the directory where the script is saved. you will be able to observe the details like below −

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