Plot.ly, TypeScript, and the power of visualizing data with Scatter

I'm interested in creating a scatter plot within an Angular application using plot.ly.

Most examples online utilize non-typed objects like this:

var trace = {
    x: [1, 2, 3],
    y: [4, 5, 6],
    . . .
}

While I can follow this method, I prefer to leverage the types from @types/plotly.js since I am working with TypeScript. One of the defined types is ScatterData, which has specific properties such as:

export type Data = Partial<ScatterData>;

export interface ScatterData {
    type: 'bar' | 'scatter' | 'scattergl' | 'scatter3d';
    x: Datum[] | Datum[][];
    y: Datum[] | Datum[][];
    z: Datum[] | Datum[][] | Datum[][][];
    xaxis: string;
    yaxis: string;
    ...
}

Here's an example where I faced an issue:

const data: Plotly.Data = {
    type: 'scatter',
    x: [],
    y: [],
};

data.x.push(12);

The error message highlights the call to push with

TS2349: Cannot invoke an expression whose type lacks a call signature
. Even attempting a type guard like

if(data.x instanceof Ploty.Datum[]) ...

results in a failure due to the absence of the Datum property.

Although I could resolve these challenges by omitting Plotly.Data, I would prefer not to resort to that solution.

Answer №1

The error in the compilation process might seem unusual, but it appears that the root cause is related to the data.x property being defined as either Datum[] or Datum[][], giving it two distinct call signatures: push(Datum) and push(Datum[]). Without proper assertion or type-guard implementation, the compiler cannot confirm the accuracy of push(12). Adding an assertion should resolve this issue:

(data.x as Plotly.Datum[]).push(12);

Furthermore, even if you do not explicitly specify data as Plotly.Data, assigning data to a variable with a type of Plotly.Data will ensure correctness through type-checking. The downside is the lack of IDE suggestions during object construction, but any incorrect constructions will be caught during compilation.

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