Python pptx charts

Matplotlib is capable of creating all manner of graphs, plots, charts, histograms, and much more. In most cases, matplotlib will simply output the chart to your viewport when the. Once installed, import the matplotlib library. With a simple chart under our belts, now we can opt to output the chart to a file instead of displaying it or both if desiredby using the. This filename can be a full path and as seen above, can also include a particular file extension if desired.

If no extension is provided, the configuration value of savefig. In addition to the basic functionality of saving the chart to a file. There are a handful of additional options for specific occasions, but overall this should get you started with easily generating image file outputs from your matplotlib charts.

Funnel charts are specialized charts for showing the flow of users through a process. Learn how to best use this chart type by reading this article. Violin plots are used to compare the distribution of data between groups.

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I have an excel workbook that is created using an excellent "xlsxwriter" module. In this workbook, there about about embedded charts. I am now trying to export all those charts into several power point presentations.

Ideally, I want to preserve the original format and embedded data without linking to external excel work book. I am sure there is a way to do this using VBA.

But, I was wondering if there is a way to do this using Python. Is there a way to put xlsxwriter chart objects into powerpoints? I have looked at python-pptx and can't find anything about getting charts or data series from excel work book.

After spending hours of trying different things, I have found the solution to this problem. Hopefully,it will help someone save some time.

python-pptx 0.6.18

For some reason, that I am yet to understand, it works better when running this Python program from CMD terminal. It sometimes breaks down if you tried to run this several times, even though the first run is usually OK. Add False ," it does not work with Microsoft Officeeven though both "True" and "False" will still work with Microsoft Office The approach I'd be inclined toward with the current python-pptx version is to read the Excel sheets for their data and recreate the charts in python-pptx.

That of course would require knowing what the chart formatting is, etc. But it involved a large amount of surgery on python-pptx, and many versions back now, so at most it might be a good guide to what strategies might work.

You'd need to want it pretty bad I suppose to go that route :. For this case it would be See here for more.Released: May 3, View statistics for this project via Libraries. Tags powerpoint, ppt, pptx, office, open, xml. A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application.

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Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system.

It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand. More information is available in the python-pptx documentation. Browse examples with screenshots to get a quick idea what you can do with python-pptx. Previously a control character other than tab or newline in an assigned string would trigger an exception related to invalid XML character.

Some changes were made to the boilerplate XML used to create new charts. This was done to more closely adhere to the settings PowerPoint uses when creating a chart using the UI. This may result in some appearance changes in charts after upgrading. In particular:. TABLE for that property.

Dynamic Charts in PowerPoint – Self-refreshing Charts using VBA

A table is no longer treated as a shape. Rather it is a graphical object contained in a GraphicFrame shape, as are Chart and SmartArt objects. As the enclosing shape, the id, name, shape type, position, and size are attributes of the enclosing GraphicFrame object.

The enclosed graphical object is obtained using the properties GraphicFrame. SmartArt is not yet supported. Accessing one of these properties on a GraphicFrame not containing the corresponding object raises an exception. May 3, GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Already on GitHub? Sign in to your account. I need a combo chart which has both line and column plot like the picture showing above Based on the official website, it looks like it's impossible on API level So I was trying to add a child node in the plotarea node my code is:. But when I open test.

What's wrong with my code or is there any other way to do this? Thank you! A similar question has been posted on stackoverflow. I also badly need combined charts. Can't find the right way to implement that in the library. Any hint scanny? This sort of thing would be a "multi-plot" chart, so chart.

PyPowerpoint 3.0 - make slides in Powepoint with Python

I haven't given any serious thought to what the API might look like for this. If you were going to try to hack it in with a workaround function which would probably be where I would startI'd recommend creating a simple chart of this type and inspecting the XML PowerPoint generates for it. I added a Chart. I am passing a touple and getting error.

pptgen 0.2.1

Still I am getting the error. Can you provide a working example? I am sorry since my code was into the big file so I could not copy it however I just ran everything seperately and updated code exactly you should be able to get this running.

You can loccaly create a PPT instead of it. I have to find a way to have global chart data for all subcharts.

python pptx charts

You previously mentioned that data is not editable. Have you perhaps had a chance to look into this yet? It would be a great help if this was available.

I figured out why data is not editable: one ChartData instance is used for each chart, and that is not compatible with the way python-pptx works. The same ChartData instance has to be used for all charts. No it's the opposite, we need a single ChartData object to be used for all charts.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

A chart object, like a table, is not a shape. Rather it is a graphical object contained in a GraphicFrame shape. The shape API, such as position, size, shape id, and name, are provided by the graphic frame shape. The Chart object is the root of a generally hierarchical graph of component objects that together provide access to the properties and methods required to specify and format a chart. A legend provides a visual key relating each series of data points to their assigned meaning by mapping a color, line type, or point shape to each series name.

A legend is optional, but there can be at most one. Most aspects of a legend are determined automatically, but aspects of its position may be specified via the API. A chart typically has two axes, a category axis and a value axis. In general, one of these is horizontal and the other is vertical, where which is which depends on the chart type.

For example, the category axis is horizontal on a column chart, but vertical on a bar chart. Rather it has two value axes. A category is perhaps most commonly a string label, such as 'East' or 'Revenue' ; however a category can also be a number or a date although all categories in a chart must be the same type.

When a chart's categories are dates, the category axis is generally, but not necessarily a DateAxis object. A Chart may have zero to four axes. A pie chart, for example, has neither a category nor a value axis. Some axis properties are only relevant to value axes, in particular, those related to numeric values rather than text category labels. Gridlines are the vertical and horizontal lines that extend major tick marks of an axis across the chart to ease comparison of a data point with the axis divisions.

Tick labels are the numbers appearing on a value axis or the category names appearing on a category axis. Certain formatting options are available for changing how these labels are displayed. A plot is a group of series all depicted using the same charting type, e. Most charts have only a single plot; however, a chart may have multiple, as in where a line plot appears overlaid on a bar plot in the same chart.

In the Microsoft API, this concept has the name chart group. The term plot was chosen for pp to avoid the common mistake of understanding a chart group to be a group of chart objects. Certain properties must be set at the plot level. Some of those properties are not present on plots of all chart types.Most chart types other than 3D types are supported. Tables work this way too, also being contained in a graphic frame shape.

The charts so far use a discrete set of values for the independent variable the X axis, roughly speaking. These are perfect when your values fall into a well-defined set of categories. However, there are many cases, particularly in science and engineering, where the independent variable is a continuous value, such as temperature or frequency. These are supported in PowerPoint by XY aka. A bubble chart is essentially an XY chart where the marker size is used to reflect an additional value, effectively adding a third dimension to the chart.

Because the independent variable is continuous, in general, the series do not all share the same X values.

python pptx charts

This requires a somewhat different data structure and that is provided for by distinct XyChartData and BubbleChartData objects used to specify the data behind charts of these types:. Creation of a bubble chart is very similar, having an additional value for each data point that specifies the bubble size:. Okay, that was probably going a bit too far. But it gives us an idea of the kinds of things we can do with the value and category axes. Here we needed to access a Plot object to gain access to the data labels.

A plot is like a sub-chart, containing one or more series and drawn as a particular chart type, like column or line. This distinction is needed for charts that combine more than one type, like a line chart appearing on top of a column chart. A chart like this would have two plot objects, one for the series appearing as columns and the other for the lines. I found that term confusing for a long time while I was learning about MS Office charts so I chose the name Plot for that object in python-pptx.

A legend is often useful to have on a chart, to give a name to each series and help a reader tell which one is which:. I switched the categories and series data here to better suit a line chart. This should be enough to get you started with adding charts to your presentation with python-pptx.

There are more details in the API documentation for charts here: Charts. By default, the colors assigned to each series in a chart are the theme colors Accent 1 through Accent 6, in that order. If you have more than six series, darker and lighter versions of those same colors are used. Working with text.

Working with tables. Navigation index modules next previous python-pptx 0. RIGHT chart. Created using Sphinx 1. Theme based on Read The Docs.However that will not make the Chart dynamic, and sometimes it is hard to say when the Chart will be updated.

But what if we want even more — what if we want the chart to refresh during a Presentation? I can imagine this can have many uses. Imagine wanting to present a series of dynamic slides in an Office environment, each slide showing latest charts from an updates Excel dashboard.

In other cases you may want to prevent any linking out to Excel files and simply have a dynamic reference to your source file or files. See an example in this Youtube video:. If this is all you need, read this Support Office article. The purpose of this exercise is to avoid linking at all and make it entire flexible on your own preference when you want to update your Charts and even update the Excel files before doing so.

First we need to create a PowerPoint Shape that will be used as a placeholder to mark the location and size of our Chart. Click on image below for a reference. Click to enlarge. Next we need to create and name an Excel Chart.

python pptx charts

This will be copy pasted as an Image to our PowerPoint to avoid linking and to assure the format is identical to how it is visualized in your Excel file. Let me break this down. Above first we defined the VBA Sleep function as we will use it as a delay mechanizm between updates.

As you can see this is a generic function you can reuse to your own purpose regardless of the example usage below. Now let us create simple scenario using the generic function for copying an Excel Chart to PowerPoint:.

For me a way to animate Excel Charts in PowerPoint present a new pallete of options to further push the boundries of what we can do with PowerPoint. Below a short list of ideas that can help you image how useful this can be:.

Have more ideas? Raise a Question or let us meet on Reddit. See an example in this Youtube video: Why not use Linked Charts? Application, wb As Excel. Workbook, ppt As PowerPoint. Presentation, ws As Excel. Application eApp. Sheets sheetName. ChartObjects chartName. Copy 'Paste into first slide in active PowerPoint presentation ppt.


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