How to display the last interval as a dotted line in Recharts library with same interpolation as the chart?

Is it possible to display the last interval as a dotted line in the Recharts library?

I'm working with the Recharts library in React and facing a challenge. I have a line chart with multiple intervals. What I've found is that I can display the last interval as a separate Line component. However, it's currently appearing as a straight line. I want this line to continue with the same interpolation as the rest of the chart. How can I accomplish this?

Here's a basic structure for a Recharts component.

<ResponsiveContainer>
   <ComposedChart data={data}>
      <CartesianGrid />
      <XAxis />
      <YAxis />
      <Tooltip />
      <Line type="monotone" dataKey="score" />
      <Line type="monotone" dataKey="median" />
      <Area type="monotone" dataKey="deviation" >
      <Line type="monotone" dataKey="prediction" strokeDasharray="6 4" />
    </ComposedChart>
 </ResponsiveContainer>

And the data example

data = [
    {
        "intervalName": "Interval 1",
        "prediction": null,
        "score": 16991.578,
        "median": 558934.61825,
        "deviation": [
            390456.78457310924,
            727412.4519268909
        ]
    },
    {
        "intervalName": "Interval 2",
        "prediction": null,
        "score": 582619.453,
        "median": 558934.61825,
        "deviation": [
            320355.6152603979,
            797513.6212396022
        ]
    },
    {
        "intervalName": "Interval 3",
        "prediction": null,
        "score": 5539.119,
        "median": 559293.0755,
        "deviation": [
            320626.4142448605,
            797959.7367551395
        ]
    },
    {
        "intervalName": "Interval 4",
        "prediction": null,
        "score": 125833.72200000001,
        "median": 409077.43374999997,
        "deviation": [
            132343.3306994175,
            685811.5368005824
        ]
    },
    {
        "intervalName": "Interval 5",
        "prediction": 76713.714,
        "score": 76713.714,
        "median": 275481.02749999997,
        "deviation": [
            16272.15931816565,
            534689.8956818343
        ]
    },
    {
        "intervalName": "Interval 6",
        "prediction": 368890.673174,
        "score": null,
        "median": 191209.251,
        "deviation": [
            -7836.152843409567,
            390254.65484340955
        ]
    }
];

In order to have the prediction and score fit perfectly in the smooth piecewise interpolating
curve, not only do you have to set prediction values equal to score values for all the points
(and make the curve for the first n-1 intervals invisible), but you also have to add the
predicted point to the score values (and make its curve invisible for the last interval).

You could only set the values of virtual prediction for only 3-4 points prior to the
penultimate point (as the influence of the points before that typically vanes to infinitesimal
values), but setting all points seems simpler.

A possible idea is to create a single curve that will display score for the first
n-1 intervals and prediction for the last interval. Changing the color for the
last interval can be done using gradients for colors, as described
here.

Since you don't want to change the color, but the dash array, I'd go with creating
two identical curves, one for the score, that has the last interval set to fully transparent color
and one for the prediction, having the first n-1 interval fully transparent and the last
one dashed.

The markup would look like:

<div style={styles}>
<ResponsiveContainer>
<ComposedChart data={data}>
<defs>
{gradientTwoColors(
"hideAllButLastInterval",
"rgba(0,0,0,0)",
defaultColor,
lastIntervalPercent
)}
{gradientTwoColors(
"hideJustLastInterval",
defaultColor,
"rgba(0,0,0,0)",
lastIntervalPercent
)}
</defs>
<CartesianGrid />
<XAxis />
<YAxis />
<Tooltip formatter={tooltipFormatter1} />
<Line type="monotone" dataKey="score" strokeDasharray="0 100" />
<Line type="monotone" dataKey="prediction" strokeDasharray="0 100" />
<Line type="monotone" dataKey="median" />
<Area type="monotone" dataKey="deviation" />
<Line
name="line1_noTooltip"
type="monotone"
stroke="url('#hideJustLastInterval')"
dataKey={scoreOrPrediction}
/>
<Line
name="line2_noTooltip"
type="monotone"
stroke="url('#hideAllButLastInterval')"
strokeDasharray="5 5"
dataKey={scoreOrPrediction}
/>
</ComposedChart>
</ResponsiveContainer>
</div>

Note that the first two Line components are completely invisible, they are there just to
provide the values for the tooltip, while the last two Line components make the two
identical curve described above, but don't give any input to the tooltip. The auxiliary functions
and variables are

const scoreOrPrediction = function (data) {
// provides the data for the two identical curves
return data.score !== null ? data.score : data.prediction;
};
const defaultColor = Line.defaultProps.stroke,
// great care should be taken when computing lastIntervalPercent
// the expression below works for data.length - 1 equal intervals
// but if there are numeric x values in a "linear" axis, the formula
// should be updated to use those values
lastIntervalPercent = ((data.length - 2) * 100) / (data.length - 1);
const gradientTwoColors = (id, col1, col2, percentChange) => (
<linearGradient id={id} x1="0" y1="0" x2="100%" y2="0">
<stop offset="0%" stopColor={col1} />
<stop offset={`${percentChange}%`} stopColor={col1} />
<stop offset={`${percentChange}%`} stopColor={`${col2}`} />
<stop offset="100%" stopColor={col2} />
</linearGradient>
);
const formatIfNumeric = (x) => (typeof x === typeof 1 ? x.toFixed() : x);
const tooltipFormatter1 = (value, name) => {
if (name.includes("noTooltip")) {
return [];
}
if (Array.isArray(value)) {
return value.map(formatIfNumeric).join(" - ");
}
return [formatIfNumeric(value), name];
};

Here's a codesandbox
with this solution.