D3 Axes - Transition

Axis Transition

A linear x-axis centered vertically in a full-screen SVG repeatedly updates its domain to a random value between 10 and 10,000 every second. Each update triggers a smooth transition of the axis tick positions using D3 v4’s `d3.interval` and the `.transition().call(x_axis)` pattern with `d3.axisBottom`. The example is built with the `d3-marcon` helper library for margin conventions and renders purely as a demonstration of animated scale-domain changes.

FFrissAnalytics

85% match

D3: Transitioning points to randomized values, plus rescaled axes!

Clicking the text triggers a full update of a D3 v5 scatterplot: 50 circles transition to new random coordinates while the linear scales and axes recalculate to fit the new domain. The circles briefly enlarge and turn magenta during the transition, then shrink back to black. The code uses `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and chained `transition()` calls, with a clip-path masking any points outside the chart area. The dataset is generated on the fly in JavaScript, and rendering is SVG with animation.

Nnikomc

79% match

D3 axis example

This example shows a simple linear axis created with D3.js version 7.8.5, rendered as SVG. A linear scale maps a domain of 0 to 10 to a pixel range of 400, and a bottom-oriented axis is generated using `d3.axisBottom()` and applied to an SVG group with the `.call()` method. The visualization demonstrates the basic workflow of defining a scale, constructing an axis, and attaching it to the DOM.

AAxVa 🐍 💪

78% match

D3 Transitions - Custom Tweens

The example showcases circular transitions of data-driven points using D3.js, contrasting a default linear interpolation with a custom tween that animates along the shortest angular path. Two SVG canvases display circles that jump between random angles on a fixed radius. The left pane uses standard `transition().attr` calls, while the right pane employs a custom `transition().tween()` with D3's `interpolate` to handle angle wrapping and ensure smooth, direct movement across the circumference. The code updates the data on button click, demonstrating the API's flexibility for controlling animation behavior.

77% match

D3 - Transitions

This example demonstrates three ways D3.js handles data updates with transitions. The top SVG updates circles without animation, the middle uses a simple transition to move circles smoothly, and the bottom shows an enter-update-exit pattern where new circles fade in, existing circles move, and removed circles fall downward and disappear. A button click regenerates random data values. The code uses D3 v7 selections, the `.join()` method, and `.transition()` with a duration of 1000ms, all rendered as SVG circles with fill opacity.

D3 - Axes

This example demonstrates how D3’s axis components render tick marks and labels for a linear scale. Four separate axes—left, right, top, and bottom—are drawn inside an SVG container, all sharing the same `d3.scaleLinear` domain of 0 to 100 mapped to a 400-pixel range. The code uses `d3.axisLeft`, `d3.axisRight`, `d3.axisTop`, and `d3.axisBottom` to generate the axes, then attaches each to a corresponding `<g>` group using `selection.call`. The visualization highlights the standard D3 approach for orienting axes around a plot area.

D3 Axes - Configuration

This example demonstrates how to configure a D3 axis by explicitly setting tick values. A linear scale maps a domain of 0 to 100 to a range of 0 to 500 pixels, and an axis is generated using `d3.axisBottom(scale)`. The code calls `.tickValues([0, 25, 50, 75, 100])` to control which values appear as ticks, overriding the default tick generation. The axis is rendered into an SVG `<g>` element using `d3.select('svg g').call(axis)`, producing a clean, labeled horizontal axis.

Date Ticks

This example demonstrates how D3’s time scale and axis API can animate date tick marks as the domain’s upper bound randomly shifts. A bottom-oriented SVG axis is created with `d3.time.scale` and `d3.svg.axis`, formatting tick labels as month/day strings. Every few seconds, `setInterval` triggers a transition that updates the axis domain to a new random date, smoothly redrawing the ticks and grid lines via `.transition().duration()`. The chart uses no external data, only a generated sequence of dates between January 2 and a random day in late January, with the axis centered vertically on a 960×500 SVG canvas.

Mmbostock