how to create a powerpoint presentation using python

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Creating and updating PowerPoint Presentations in Python using python – pptx

python-pptx is library used to create/edit a PowerPoint (.pptx) files. This won’t work on MS office 2003 and previous versions.  We can add shapes, paragraphs, texts and slides and much more thing using this library.

Installation: Open the command prompt on your system and write given below command:

Let’s see some of its usage:

Example 1: Creating new PowerPoint file with title and subtitle slide.

Example 2: Adding Text-Box in PowerPoint.

Example 3: PowerPoint (.pptx) file to Text (.txt) file conversion.

Example 4: Inserting image into the PowerPoint file.

Example 5: Adding Charts to the PowerPoint file.

Example 6: Adding tables to the PowerPoint file.

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5 Best Ways to Create PowerPoint Files Using Python

💡 Problem Formulation: Automating the creation of PowerPoint presentations is a common task for those who need to generate reports or summaries regularly. For instance, a user may wish to create a presentation summarizing sales data from a CSV file or visualize a project’s progress in a structured format. The desired output is a fully formatted PowerPoint file (.pptx) with various elements like titles, texts, images, and charts, as specified by the input data or customization requirements.

Method 1: Using python-pptx

The python-pptx library provides a comprehensive set of features for creating PowerPoint files (.pptx) in Python. It allows for adding slides, text, images, charts, and more, with a high level of customization. Manipulate slides at a granular level by accessing placeholders, creating bulleted lists, and setting properties like font size or color programmatically.

Here’s an example:

The code snippet above creates a PowerPoint file named python-pptx-presentation.pptx with one slide that includes a title and a subtitle.

In this overview, we create a presentation object, add a new slide with a predefined layout, set text for the title and subtitle placeholders, and then save the presentation. This method gives users the ability to create detailed, professional presentations through code.

Method 2: Using Pandas with python-pptx

This method combines the data manipulation power of Pandas with the presentation capabilities of python-pptx to create PowerPoint files from DataFrame contents. It’s particularly useful for automating the inclusion of tabular data or creating charts based on the DataFrame’s data.

The output is a PowerPoint file named pandas-python-pptx.pptx containing a bar chart representing the quantity of fruits.

This snippet demonstrates using a Pandas DataFrame to generate chart data, which is then used to create a chart in a PowerPoint slide. It showcases the synergy between Pandas for data handling and python-pptx for presentation creation.

Method 3: Using ReportLab with python-pptx

Those seeking to include complex graphics or generate custom visuals can harness the graphic-drawing capabilities of ReportLab with python-pptx. This method leverages ReportLab to create an image, which can then be inserted into a PowerPoint slide.

The output would be a PowerPoint file named reportlab-pptx.pptx containing a slide with a custom bar chart image.

The code above creates a bar chart using ReportLab, saves the chart as an image, and then inserts the image into a PowerPoint slide. This approach is ideal if you need to include bespoke graphics that are not directly supported by python-pptx itself.

Method 4: Using Matplotlib with python-pptx

For those familiar with Matplotlib, this method involves creating a visual plot or chart with Matplotlib, saving it as an image, and then embedding the image into a PowerPoint slide using python-pptx.

The outcome is a PowerPoint file matplotlib-pptx.pptx , with a plot on a slide created by Matplotlib.

In this case, we graph a quadratic function using Matplotlib, save it as an image, and then add that image to a slide in our PowerPoint presentation. This method offers a blend of Matplotlib’s sophisticated plotting tools with the simplicity of python-pptx.

Bonus One-Liner Method 5: Using Officegen

The Officegen package allows for rapid PowerPoint creation with simpler syntax, although with less flexibility compared to python-pptx. It provides functions to add slides, titles, and bullet points.

The outcome is a PowerPoint file officegen-presentation.pptx with a single slide containing a large title.

This snippet uses Officegen to initiate a new presentation, adds a text title to a slide, and saves the presentation. While not as detailed as python-pptx, Officegen is quick for simple presentations.

Summary/Discussion

• Method 1: python-pptx. Full-featured control over presentations. Can be verbose for simple tasks.
• Method 2: Pandas with python-pptx. Ideal for data-driven presentations. Setup can be complex if unfamiliar with data libraries.
• Method 3: ReportLab with python-pptx. Powerful combo for custom graphics. Requires separate handling of graphics and presentation stages.
• Method 4: Matplotlib with python-pptx. Best for users comfortable with Matplotlib. Less direct than using python-pptx alone.
• Bonus Method 5: Officegen. Quick and easy for simple presentations. Limited customization options.

Emily Rosemary Collins is a tech enthusiast with a strong background in computer science, always staying up-to-date with the latest trends and innovations. Apart from her love for technology, Emily enjoys exploring the great outdoors, participating in local community events, and dedicating her free time to painting and photography. Her interests and passion for personal growth make her an engaging conversationalist and a reliable source of knowledge in the ever-evolving world of technology.

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Creating Powerpoint Presentations with Python

Posted by Chris Moffitt in articles   

Introduction

Love it or loathe it, PowerPoint is widely used in most business settings. This article will not debate the merits of PowerPoint but will show you how to use python to remove some of the drudgery of PowerPoint by automating the creation of PowerPoint slides using python.

Fortunately for us, there is an excellent python library for creating and updating PowerPoint files: python-pptx . The API is very well documented so it is pretty easy to use. The only tricky part is understanding the PowerPoint document structure including the various master layouts and elements. Once you understand the basics, it is relatively simple to automate the creation of your own PowerPoint slides. This article will walk through an example of reading in and analyzing some Excel data with pandas, creating tables and building a graph that can be embedded in a PowerPoint file.

PowerPoint File Basics

Python-pptx can create blank PowerPoint files but most people are going to prefer working with a predefined template that you can customize with your own content. Python-pptx’s API supports this process quite simply as long as you know a few things about your template.

Before diving into some code samples, there are two key components you need to understand: Slide Layouts and Placeholders . In the images below you can see an example of two different layouts as well as the template’s placeholders where you can populate your content.

In the image below, you can see that we are using Layout 0 and there is one placeholder on the slide at index 1.

In this image, we use Layout 1 for a completely different look.

In order to make your life easier with your own templates, I created a simple standalone script that takes a template and marks it up with the various elements.

I won’t explain all the code line by line but you can see analyze_ppt.py on github. Here is the function that does the bulk of the work:

The basic flow of this function is to loop through and create an example of every layout included in the source PowerPoint file. Then on each slide, it will populate the title (if it exists). Finally, it will iterate through all of the placeholders included in the template and show the index of the placeholder as well as the type.

If you want to try it yourself:

Refer to the input and output files to see what you get.

Creating your own PowerPoint

For the dataset and analysis, I will be replicating the analysis in Generating Excel Reports from a Pandas Pivot Table . The article explains the pandas data manipulation in more detail so it will be helpful to make sure you are comfortable with it before going too much deeper into the code.

Let’s get things started with the inputs and basic shell of the program:

After we create our command line args, we read the source Excel file into a pandas DataFrame. Next, we use that DataFrame as an input to create the Pivot_table summary of the data:

Consult the Generating Excel Reports from a Pandas Pivot Table if this does not make sense to you.

The next piece of the analysis is creating a simple bar chart of sales performance by account:

Here is a scaled down version of the image:

We have a chart and a pivot table completed. Now we are going to embed that information into a new PowerPoint file based on a given PowerPoint template file.

Before I go any farther, there are a couple of things to note. You need to know what layout you would like to use as well as where you want to populate your content. In looking at the output of analyze_ppt.py we know that the title slide is layout 0 and that it has a title attribute and a subtitle at placeholder 1.

Here is the start of the function that we use to create our output PowerPoint:

This code creates a new presentation based on our input file, adds a single slide and populates the title and subtitle on the slide. It looks like this:

Pretty cool huh?

The next step is to embed our picture into a slide.

From our previous analysis, we know that the graph slide we want to use is layout index 8, so we create a new slide, add a title then add a picture into placeholder 1. The final step adds a subtitle at placeholder 2.

Here is our masterpiece:

For the final portion of the presentation, we will create a table for each manager with their sales performance.

Here is an image of what we’re going to achieve:

Creating tables in PowerPoint is a good news / bad news story. The good news is that there is an API to create one. The bad news is that you can’t easily convert a pandas DataFrame to a table using the built in API . However, we are very fortunate that someone has already done all the hard work for us and created PandasToPowerPoint .

This excellent piece of code takes a DataFrame and converts it to a PowerPoint compatible table. I have taken the liberty of including a portion of it in my script. The original has more functionality that I am not using so I encourage you to check out the repo and use it in your own code.

The code takes each manager out of the pivot table and builds a simple DataFrame that contains the summary data. Then uses the df_to_table to convert the DataFrame into a PowerPoint compatible table.

If you want to run this on your own, the full code would look something like this:

All of the relevant files are available in the github repository .

One of the things I really enjoy about using python to solve real world business problems is that I am frequently pleasantly surprised at the rich ecosystem of very well thought out python tools already available to help with my problems. In this specific case, PowerPoint is rarely a joy to use but it is a necessity in many environments.

After reading this article, you should know that there is some hope for you next time you are asked to create a bunch of reports in PowerPoint. Keep this article in mind and see if you can find a way to automate away some of the tedium!

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How to Create a PowerPoint Presentation Using Python?

You can create a PowerPoint presentation using Python and the python-pptx library. Here’s an example code snippet:

In this example, we first import the Presentation and Inches classes from the pptx.util module. We then create a new Presentation object using prs = Presentation() .

We add a new slide to the presentation using slide = prs.slides.add_slide(prs.slide_layouts[1]) . We use the slide_layouts attribute of the presentation object to choose a slide layout. In this case, we’re using the layout with a title and subtitle.

We add a title and subtitle to the slide using the title and placeholders attributes of the slide object. We set the text of these placeholders using the text attribute.

We add an image to the slide using the add_picture() method of the slide.shapes object. We specify the path to the image file and the position and size of the image on the slide using the Inches() function.

Finally, we save the presentation to a file using the save() method of the Presentation object.

You can customize the presentation further by adding more slides, text boxes, images, charts, and other elements using the methods and properties provided by the python-pptx library.

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How to create powerpoint files using Python

Introduction.

We’ve all had to make PowerPoint presentations at some point in our lives. Most often we’ve used Microsoft’s PowerPoint or Google Slides.

But what if you don’t have membership or access to the internet? Or what if you just wanted to do it the “programmers” way?

Well, worry not for Python’s got your back!

In this article you’ll learn how to create a PowerPoint file and add some content to it with the help of Python. So let’s get started!

Getting Started

Throughout this walkthrough, we’ll be using the python-pptx package. This package supports different python versions ranging from 2.6 to 3.6.

So, make sure you have the right version of Python installed on your computer first.

Next, open your terminal and type −

Once the module is successfully installed, you are all set to start coding!

Importing the Modules

Before we get into the main aspects of it, we must first import the right modules to utilise the various features of the package.

So, let’s import the presentation class that contains all the required methods to create a PowerPoint.

Now, we are all set to create a presentation.

Creating a Presentation

Let us now create an object of the Presentation class to access its various methods.

Next, we need to select a layout for the presentation.

As you can see, there are nine different layouts. In the pptx module, each layout is numbered from 0 to 8. So, “Title Slide” is 0 and the “Picture with Caption” is 8.

So, let us first add a title slide.

Now, we have created a layout and added a slide to our presentation.

Let us now add some content to the first slide.

In the above lines, we first add a title to the “first slide” and a subtitle using the placeholder.

Now, let us save the presentation. We can do this using the save command.

If you run the program, it will save the PowerPoint presentation in the directory where your program is saved.

You have successfully created your PowerPoint presentation.

Creating a second slide and adding some content

Firstly, you’ll need to import additional methods to add content.

Let us first create and add the second slide.

Adding title for the next slide,

Now, we must create a textbox and move its layout to suit our needs.

Let us position it and adjust its margins in inches.

The above line of code will place a textbox 3 Inches from left and 1.5 Inches from the top with a width of 3 Inches and height of 1 Inch.

Once we have the layout and position fixed, time to create a textframe to add content to.

Now to add a paragraph of content,

Finally, save the presentation again using the save method.

That’s it! You can now create your own presentation with the help of Python.

And there are a lot more features within the pptx package that allows you to completely customise your presentation from A-Z just the way you do it in GUI.

You can add images, build charts, display statistics and a lot more.

You can go through python-pptx official documentation for more syntaxes and features.

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Automate PowerPoint Slides Creation with Python

Boost your Productivity with an Automated Tool for the Creation of Supply Chain Operational PowerPoint Reports with Python.

Boost your Productivity with an Automated Tool for the Creation of Supply Chain Operational PowerPoint Reports with Python

Article originally published on Medium .

You are a distribution planning manager in the logistics department of a fashion retail company.

To perform analysis, you connect to the warehouse management system to extract and process data using an automated tool built with Python.

However, you have to spend time manually putting these visuals in slides for your weekly operational reviews.

In this article, we will build a solution to automatically create PowerPoint slides with visuals and comments.

💌 New articles straight in your inbox for free: Newsletter

Have a look at the video version of this article,

Problem Statement

You are part of the distribution planning team of an international clothing retailer with stores on all continents.

Your distribution network includes several local warehouses that replenish the stores.

Monthly Operational Reviews

At the end of the month, you organize an operational review with the store managers to assess the performance of the distribution network.

To animate the discussion you prepare some slides,

• Extract data from the Warehouse Management System (WMS)
• Process data and built visuals with Python
• Prepare a PowerPoint presentation

To be efficient, you would like to automate the process of PowerPoint deck creation.

Your solution will be fully automated

• Extract order lines of the last month from the WMS SQL database
• Process the data and compute KPIs with key insights by week
• Automatically put the visuals and insights in a PowerPoint presentation

The final deck will have slides like the ones below:

• 5 slides with visuals of the daily workload (left) and 1 slide for the monthly analysis of the order profile (right)
• A visual generated with Python
• A comment area will provide insights based on the visual

You can find the source code with dummy data here: Github

Let us explore all the steps to generate your final report with python.

Data Extraction

Connect to your WMS and extract shipment records

• Create your SQL Query to extract shipment records
• Use pandas.read_sql_query to do the query
• Results will be a pandas data frame

If you don’t have access to a WMS database , you can use the dataset shared in the GitHub repo.

Process the data

Add a column that calculates the number of lines per order using pandas.

Create the visuals

Create a simple bar plot chart that shows the number of Lines and Orders prepared per day.

Save the charts

In order to be added to the PowerPoint, you need to save it locally.

Add comments and insights

You can add comments based on the chart you share that will summarize the performance of each week.

Include these comments under the visuals for more clarity.

Create the PowerPoint Decks

We will use the open-source library python-pptx to build our PowerPoint decks.

For more details, have a look at the documentation .

Introduction Slide

We will start with a special introduction slide at the beginning of the presentation.

Daily Analysis Slide by WEEK

The structure of your slide will be always the same

• A title on top (e.g: Warehouse Workload (WEEK-5))
• A picture at the centre of the slide
• A text box for the comment area

💡 TIPS You can change the position of the objects by modifying the parameters of Inches() functions.

Weekly Analysis of Order Profile

In this slide, you will use a stacked bar plot chart and the comments will be based on the full month scope.

💡 TIPS You can change the font size by modifying the parameter of the functions Pt().

Finally, you have a PowerPoint file with 7 slides ready to be used for your meetings.

Conclusion & Next Steps

With this very simple example, you have a template to build your own PowerPoint automation solution.

You can now,

• Add visuals, tables or smart visuals of PowerPoint (check the documentation)
• Bring more insights or enrich the text with conditions

This python script can be launched locally on your computer with one click.

You can also automate the report distribution by email using the SMTP library of python.

For more details, you can have a look at this article I published a few weeks ago,

Let’s connect on Linkedin and Twitter , I am a Supply Chain Engineer that is using data analytics to improve logistics operations and reduce costs.

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How to Create PowerPoint Presentation using Python

In this simple article, we will exhibit how to create PowerPoint Presentation using Python by following the detailed steps to set up the environment and run the example on your end. You can create PowerPoint with Python and can view that in any of the presentation viewers including the MS PowerPoint. The example code can be used inside any of .NET Core supported platforms configured with Python.

Steps to Create PowerPoint Presentation using C#

• Configure the environment to set up Aspose.Slides for Python via .NET in your application
• Import aspose.pydrawing and aspose.slides in your Python file
• Generate an empty presentation using the Presentation class object
• Add a blank Slide in the slides collection using the add_empty_slide method
• Insert a Rectangle shape inside the slide using the add_auto_shape method
• Add a text frame using the add_text_frame method and apply different textual properties
• Using the Save method in Python Powerpoint presentation is generated and saved on the disk

In order to generate a customized PPTX Python API is used by adhering to the aforementioned steps. The process involves creating an empty presentation using the Presentation class and then adding a blank slide inside the slides collection. A Rectangle autoshape is created which is filled with some text by adding a text frame to the shape and setting the textual properties before saving the generated presentation on the disk.

Code to Create PowerPoint With Python

By using the above example in Python Presentation in PPTX format has been created on the disk. The SaveFormat enumerator provides options to save the presentation in PPT, PPS, PPSX, ODP, POT and POTX formats as well. The text inside the slide shape can be further customized by using different properties available in the PortionFormat and the ParagraphFormat classes, including setting the paragraphs bullets, text indentations, margins, underlining and highlighting the text.

In this example, we have seen that in order to create a PPTX presentation Python based API can be used with no reliance on MS PowerPoint. If you are interested in converting a presentation to a PDF, refer to the article on how to convert Presentation to PDF using Python .

Updated on 11 May 2022

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•   Python via Java

Python PowerPoint API for Presentations

Create, read, modify and convert powerpoint and openoffice presentations using python without any external software., aspose.slides for python via java, download from nuget.

Open NuGet package manager, search for and install. You may also use the following command from the Package Manager Console.

Aspose.Slides for Python via Java is a Python library that lets you create, modify, and convert PowerPoint presentations in Python. It supports all presentation elements such as slides, shapes, text, charts, tables, images, and more. It also offers many advanced features such as merging, cloning, splitting, comparing, and printing presentations. It works without any dependencies and can process thousands of presentations in a short time.

Why Choose Aspose.Slides for Python via Java?

Aspose.Slides for Python via Java offers many advantages over other solutions for PowerPoint automation, such as:

• Cross-platform compatibility : Aspose.Slides for Python via Java supports multiple platforms. You can use Aspose.Slides for Python via Java on Windows, Linux, macOS, and other operating systems.
• Easy integration and deployment : Aspose.Slides for Python via Java is a standalone library that does not require Microsoft Office or any other software to be installed on your system. You can easily integrate Aspose.Slides for Python via Java with your existing applications and deploy it on any server or cloud environment.
• Powerful features and functionality : Aspose.Slides for Python via Java provides a rich set of features and functionality for working with PowerPoint presentations, such as creating and modifying slides, adding and editing shapes, text, images, animations, transitions, charts, tables, and other elements, applying themes and layouts, inserting audio and video, exporting and printing presentations, export to video, and much more.
• High performance and quality : Aspose.Slides for Python via Java delivers high performance and quality results for processing PowerPoint presentations. You can process thousands of presentations in minutes, without compromising the fidelity and accuracy of the output.
• Free trial and licensing options : Aspose.Slides for Python via Java offers a free trial version that you can download and use for 30 days, without any limitations. You can also choose from various licensing options that suit your needs and budget, such as developer, site, OEM, and cloud licenses.

Advanced Python PowerPoint API Features

Create or clone existing slides from templates

Work with PowerPoint tables via API

Apply or remove the protection on shapes

Add Excel charts as OleObjects to slides

Create shapes and add text to shapes on slides

Handle text & shape formatting

Generate presentations from database

Protect presentations & resultant PDF

Print presentations on a physical printer

System Requirements

• JDK 1.8 or above
• Python 3.7 or above
• JPype1 1.5.0 or above (JPype has been tested on Java versions from 1.8 to 11)

How to Install

Use PyPI to install our Python library for Presentation processing from the PyPI repository:

How to Create New PowerPoint Presentation in Python

In the example given below, we have added a rectangle to the first slide of the presentation.

How to Merge Presentations in Python

This Python code shows you how to merge presentations:

How to Import Presentation From PDF in Python. Convert PDF to PPT, Convert PDF to PPTX, Convert PDF to ODP

This Python code demonstrates the PDF to PowerPoint conversion process:

How to Convert PowerPoint to PDF in Python

This Python code shows you how to convert a PowerPoint PPT, PPTX, and OpenOffice ODP document to a PDF document using the default options. The resulting file is a PDF document at the maximum quality levels

How to Convert PowerPoint to JPG in Python. Convert PPT to JPG, Convert PPTX to JPG, Convert ODP to JPG

The following example shows you how to convert a PowerPoint PPT, PPTX, and OpenOffice ODP document into a set of JPEG images.

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