Make it anything more than a zero and you'll turn your "pie" chart into a "donut" chart. InnerRadius is a simple property, which indicates inner radius of the pie chart. Among other other properties it has these three: This "real world" hierarchy is replicated when creating chart config representation in JSON. For clarity sake, take a minute to take a look at, say, PieChart's properties. Which properties are available for which object is listed in our Class Reference. Now, those properties-objects, can have properties of their own, hence the need for hierarchical structure of JSON. Instead we're going to focus on properties.Įach object has a set list of properties, that can be of basic types, like number or string, arrays of elements, or other objects. Methods (or functions) cannot be represented by JSON, so we are not going to concern us with them. Structure of JSON configĬhart, or any of its descendant elements, are basically a JavaScript object. How it worksĪs we saw above, JSON config is basically a hierarchical representation of a chart object with all it's properties, as well as properties of its children, and so on. A simple comma, missed somewhere, may invalidate the whole config and prevent the chart from appearing at all. JSON is also much more sensitive to errors. If used with TypeScript, using JSON means sacrificing the whole type-check and code-completion goodness. The hierarchical structure is very prominent, something that is less obvious with standalone objects. It's been developed since 2003 with one main idea - it should be easy for any developer to integrate beautiful charts into any mobile, desktop or web product. For example, we can have a dynamic dashboard, which based on user's interaction, can load a chart config and data from the server, instantiate it and display to user, without ever needing to reload the page.Īnother plus for JSON is that, apparently, it's feels more natural and readable for some people. An圜hart is a lightweight and robust JavaScript charting library with great API, documentation, and enterprise-grade support. This opens up a lot of dynamic charting possibilities. Try saving a regular chart object into a database. This is not possible with regular objects, that cannot be serialized. From the charts perspective, data is just like any other property. ![]() This means that the whole chart can be saved, loaded, transferred without losing anything. You can update its or its childrens properties, even add new elements. The most obvious benefit of JSON-based approach is that it's serializable. And, for a good measure, let's add a legend arraylist.clear () mChart.invalidate () mChart.clear () Perfect Also note for other people: I had also had an issue because I was not clearing my ArrayList so it was storing all the previous items. Here's an example, so that you know what we're talking about: You have to add the following line for the clear previous chart. ![]() ![]() In a nutshell JSON config is a way to create a chart from a single JavaScript object, which contains all of the config, data, and possibly other stuff. In the interest of time though, lets pull out some knowledge nuggets and combine them with visual aids.AmCharts 4 provides two ways to create and configure charts: object based approach (which we discussed here) and providing config in JSON object. Sara drops some serious knowledge in that article and it's definitely worth reading the whole thing. ![]() SVGs and how they scaleįor a very thorough (and highly recommended!) explanation, check out Sara Soueidan's article Understanding SVG Coordinate Systems and Transformations (Part 1) - The viewport, viewBox, and preserveAspectRatio. Grab a copy of the function, use it where you need it, and go on about your life. In most scenarios you won't need to alter the function or understand its inner workings. If you don't care how this works you can stop reading here, and that's actually a valid choice. No really, that's it! That will call the function and pass the SVG selection to it, and then responsivefy handles the rest! Don't believe me? Check out this CodePen and a preview of a perfectly scaling column chart!
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