Create a PowerPoint Presentation in Minutes with Python

How to Create a PowerPoint Presentation Using Python

Have you ever needed to create a presentation but lacked access to office software or simply didn’t have the time to design it manually? With Python and the python-pptx library, you can automate the process, creating professional-looking presentations with ease. In this tutorial, I’ll walk you through creating a PowerPoint presentation, including adding text, formatting slides, and incorporating figures generated using Python.

1. Setting Up Your Environment

To get started, install the necessary libraries:

    

pip install python-pptx matplotlib

The python-pptx library will handle creating and formatting the presentation, while matplotlib is used for generating images and graphs.

2. Creating a Basic Presentation

Start by creating a new PowerPoint file:

    

from pptx import Presentation

# Create a new presentation
prs = Presentation()

# Save the presentation
prs.save('my_presentation.pptx')

This creates an empty PowerPoint file named my_presentation.pptx.

3. Adding Slides and Text

To add a title slide with text:

    

# Add a title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])

# Set the title and subtitle
title = slide.shapes.title
subtitle = slide.placeholders[1]

title.text = "Welcome to Python-Powered Presentations"
subtitle.text = "Automate your PowerPoint creation!"

4. Formatting Text

You can customize the appearance of the text, such as font size and color:

    

from pptx.util import Pt
from pptx.dml.color import RGBColor

# Format the title
title.text_frame.text = "Python Power"
title_format = title.text_frame.paragraphs[0]
title_format.font.size = Pt(36)
title_format.font.bold = True
title_format.font.color.rgb = RGBColor(255, 0, 0)  # Red

5. Adding Figures

Generate and include figures using matplotlib:

    

import matplotlib.pyplot as plt

# Create a sample plot
plt.figure(figsize=(6, 4))
plt.plot([1, 2, 3], [4, 5, 6], label="Sample Line")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Sample Plot")
plt.legend()

# Save the figure
plt.savefig('sample_plot.png')

# Add the image to a slide
image_slide = prs.slides.add_slide(prs.slide_layouts[5])  # Blank layout
image_slide.shapes.add_picture('sample_plot.png', Pt(100), Pt(100), width=Pt(400), height=Pt(300))

6. Saving the Presentation

Once you’ve added content, save the presentation:

    

prs.save('final_presentation.pptx')

Here is the full python script, you can easily extend it with more slides

    


from pptx import Presentation
from pptx.util import Pt
from pptx.dml.color import RGBColor
import matplotlib.pyplot as plt

# Create a new PowerPoint presentation
prs = Presentation()

# 1. Add a title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
title = slide.shapes.title
subtitle = slide.placeholders[1]
title.text = "Welcome to Python-Powered Presentations"
subtitle.text = "Automate your PowerPoint creation!"

# Format the title text
title_format = title.text_frame.paragraphs[0]
title_format.font.size = Pt(36)
title_format.font.bold = True
title_format.font.color.rgb = RGBColor(0, 102, 204)  # Blue color

# Format the subtitle text
subtitle_format = subtitle.text_frame.paragraphs[0]
subtitle_format.font.size = Pt(24)
subtitle_format.font.color.rgb = RGBColor(128, 128, 128)  # Gray color

# 2. Add a content slide
content_slide = prs.slides.add_slide(prs.slide_layouts[1])
content_title = content_slide.shapes.title
content_title.text = "Benefits of Python-Powered Slides"

# Add bullet points
bullet_points = [
    "Automate repetitive tasks",
    "Generate dynamic presentations",
    "Integrate data and figures effortlessly"
]
content = content_slide.placeholders[1]
for point in bullet_points:
    paragraph = content.text_frame.add_paragraph()
    paragraph.text = point
    paragraph.level = 0  # Top-level bullet point
    paragraph.font.size = Pt(18)
    paragraph.font.color.rgb = RGBColor(0, 0, 0)  # Black color

# 3. Generate a figure with matplotlib
plt.figure(figsize=(6, 4))
plt.plot([1, 2, 3], [4, 5, 6], label="Sample Line", color="blue")
plt.xlabel("X-Axis")
plt.ylabel("Y-Axis")
plt.title("Sample Plot")
plt.legend()
figure_path = "sample_plot.png"
plt.savefig(figure_path)
plt.close()

# 4. Add the figure to a new slide
image_slide = prs.slides.add_slide(prs.slide_layouts[5])  # Blank slide layout
image_slide.shapes.add_picture(figure_path, Pt(100), Pt(100), width=Pt(500), height=Pt(300))

# 5. Save the presentation
output_file = "final_presentation.pptx"
prs.save(output_file)
print(f"Presentation saved as {output_file}")

Conclusion

With just a few lines of Python code, you can create fully customized PowerPoint presentations. This approach is perfect for generating slides dynamically, especially when dealing with large datasets or repetitive tasks.