Axis Styling II

Axis Styling

This example demonstrates how to customize the appearance of axes created with the d3-axis API in D3 v4, rendering SVG output. The chart shows a time-based scale on the x-axis spanning 2010–2012 and a linear scale on the y-axis ranging from 0 to 2 million. Customization is achieved through post-selection, where the code modifies generated axis elements by removing the domain path, styling tick lines with dashed strokes and gray color, and adjusting tick text positioning. A custom tick format prefixes the first value with a dollar sign and appends “million” while others use narrow non-breaking spaces. The code uses `d3.axisBottom`, `d3.axisRight`, `d3.scaleTime`, and `d3.scaleLinear`.

85% match

ggplot2-Style Axis

This example demonstrates ggplot2-style axes for a chart, combining gray grid lines with black ticks and labels. Two separate `d3.svg.axis` instances render the grid and the axis ticks, while a data-join’s exit selection customizes minor tick appearance. The grid lines use a tick size that spans the full chart height, and the background is a gray rectangle. The axes are drawn in SVG using D3 v3, with styling controlled through CSS classes.

79% match

Left-Aligned Ticks

This example shows a bottom-oriented time axis where tick labels are left-aligned instead of centered, placing each label to the right of its tick mark. The code uses a d3.time.scale with an extended domain and range, adding one month on each side to reserve space, and d3.svg.axis with the “bottom” orient. After rendering, a post-selection targets all text elements and sets x and y offsets with text-anchor “start” to shift the labels. The visualization renders as SVG with d3.v3.

78% match

Rotated Axis Labels

A date scale spans a full year, from January 2012 to January 2013, with axis ticks rendered by d3.svg.axis. The example shows how to rotate the tick label text by 90 degrees using post-selection, where after the axis is drawn, the `.selectAll("text")` method retrieves the labels and adjusts their `x`, `y`, `dy`, and `text-anchor` attributes for a custom appearance. The axis is drawn with SVG line and path elements.

Axis

This example demonstrates how axes and gridlines respond to changing data domains in a D3.js visualization. It shows a simple SVG chart with an x-axis and y-axis spanning a 500×500 pixel area, with dashed gridlines extending from each tick mark. The visualization randomly rescales both axes by generating a new maximum value between 0 and 100, smoothly animating the axis transitions using `d3.transition()` and updating gridlines dynamically. Built with React, the code uses `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleLinear` to render and update the axes, while the gridlines are appended as `line` elements within each tick group.

苏苏巨亮

Axis (with nice)

This example displays a horizontal axis with five numerical tick marks, positioned below a short line of data points. The axis is generated using D3.js version 4.2.2, specifically the `d3.axisBottom` function, which is applied to a linear scale created with `d3.scaleLinear`. The scale’s domain is derived from the minimum and maximum of the sample data array using `d3.extent`, and its range is set to 600 pixels. The axis is rendered as an SVG group element, transformed to sit at a specified vertical position within the 700×100 pixel canvas. The page itself is a minimal HTML document with embedded JavaScript and uses the D3 library loaded from a CDN.

Ppanmenghan

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

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.