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import { SquiggleChart } from "../SquiggleChart";
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import { Canvas, Meta, Story, Props } from "@storybook/addon-docs";
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2022-02-28 23:59:48 +00:00
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2022-03-23 00:38:01 +00:00
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<Meta title="Squiggle/SquiggleChart" component={SquiggleChart} />
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export const Template = SquiggleChart;
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# Squiggle Chart
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Squiggle chart evaluates squiggle expressions, and then returns a graph representing
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the result of a squiggle expression.
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A squiggle expression can have three different types of returns. A distribution,
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a constant, and a function.
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A distribution means that the result forms a probability distribution. This
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could be continuous, discrete or mixed.
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## Distributions
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### Continuous Distributions
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<Canvas>
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<Story
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name="Normal"
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args={{
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squiggleString: "normal(5,2)",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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### Discrete Distributions
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<Canvas>
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<Story
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name="Discrete"
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args={{
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squiggleString: "mm(0, 1, 3, 5, 8, 10, [0.1, 0.8, 0.5, 0.3, 0.2, 0.1])",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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## Mixed distributions
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<Canvas>
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<Story
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name="Mixed"
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args={{
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squiggleString: "mm(0, 1, 3, 5, 8, normal(8, 1), [0.1, 0.3, 0.4, 0.35, 0.2, 0.8])",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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## Constants
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A constant is a simple number as a result. This has special formatting rules
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to allow large and small numbers being printed cleanly.
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<Canvas>
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<Story
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name="Constant"
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args={{
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squiggleString: "500000000",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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## Functions
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Full functions can be returned. These plot out the results of distributions between a set of x-coordinates.
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The default is show 10 points between 0 and 10.
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<Canvas>
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<Story
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name="Function"
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args={{
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squiggleString: "f(x) = normal(x^2,x^1.8)\nf",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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2022-04-07 01:37:08 +00:00
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## Errors
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<Canvas>
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<Story
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name="Error"
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args={{
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squiggleString: "f(x) = normal(",
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}}
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>
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{Template.bind({})}
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</Story>
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</Canvas>
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<Props of={SquiggleChart} />
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