![]() In this post, I am listing down different options, that we can use for drawing diagrams.ĭia is an open-source diagramming tool that helps users to create structured diagrams. I faced similar problems when I started drawing diagrams, I explored different option available. If you want your diagrams to be best, you have to use a proper tool so your diagram is presentable. Many of us still use PowerPoint in order to draw these diagrams. In this chapter, we will review the use of magics and also explore how these might integrate with a diagram rendering workflow provided by the Sphinx/Jupyter Book publishing workflow.ĭepending on the editor or environment being used to render to the diagram, the same generator script can be used to generate diagrams in different contexts.Architects/Consultants often need to draw solution diagrams, system diagrams, architecture diagrams or flaw charts. Using hybrid approaches, for example magicked diagram script cells to generate output cells in a live interactive notebook or a Sphinx/Jupyter Book plugin to render the generated diagram in the output document from a code cell script. Using magics to parse diagram scripts and generate output diagrams Using Python packages that render output diagrams as code cell outputs Several different approaches are possible for generating diagrams, both static and interactive, in a Jupyter Book publishing workflow from diagram source scripts: The availability of simple text descriptions of a diagram, from which diagrams are typically rendered according to a fixed convention (although layout algorithms may determine the specific location of diagram components within a particular diagram) might also be used as mimimally sufficient text description of many key features of the diagram.Ĭurrently, meaningful human readable “long description” text descriptions to support accessibility are not generated from the original generative text descriptions, but the potential is there for such development if the will is there to exploit it. Updating or maintaining the images takes place in the context within which the asset is used, minimising opportunities for the asset and the surrounding text context to become disjointed. Through the creation of simple magics, we can use cell block magic to configure a code cell to accept these various description types and then render diagrams directly from them.īy including the the textual generator script in the source document, output assets can be generated in situ. Several package exists that support the generation of diagrams from simple text descriptions of them. ![]() The source material contains the description of the diagram and rendered directly from it.īy providing learners with tools of production related to diagram generation, we also make it easier for them to create their own diagrams and explore appropriate visual ways of supporting their own learning. There is no distance between the source material and the rendered diagram. When the document is reflowed, the diagram will be directly updated. Making changes to the diagram simply requires a change to the original text description of it. ![]() One piece generate document workflows allow for the creation of materials containing a wide variety of simple diagrams produced from simple text descriptions contained within the body of the document. Image Generation and Manipulation Overview Sphinx / Jupyter Book Diagramming Plugins Worked Equations and Equations With Units Relationship to Worksheets and AssessmentĪstronomy - Ephemeris Data and Orbital CalculationsĬhemistry - Visualising Chemical Structures
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