test javafx

100%

✓ Published0🌍 Public

Last edited Jan 11, 2013

Created on Jan 11, 2013

This example shows a JavaFX line chart rendered inside a Scala application, displaying 21 randomly generated x- and y-coordinate pairs on a shared axis. The chart uses `javafx.scene.chart.LineChart` with `NumberAxis` for both axes, while the UI includes a styled "Quitter" button that closes the primary stage when clicked. The data is produced with Scala’s `util.Random` and added to an `XYChart.Series`, though the series data is commented out, so the chart renders empty. The scene is set to 800 by 400 pixels with a whitesmoke background, demonstrating basic JavaFX stage, scene, and control setup from Scala.

AI-generated description

Similar vizzes

Loading thumbnail…

JavaFX et typage

This JavaFX application displays a line chart tracking population evolution for selected French cities from 1954 to 2006, with data read from a CSV file. A slider controls how many city series are shown, dynamically updating the chart. The UI includes a quit button and uses JavaFX’s `LineChart`, `NumberAxis`, `Slider`, and `Button` components within a Scala-based `Application` class. The code also demonstrates event handling with `EventHandler` for slider mouse clicks and button actions, all rendered in a `Scene` with a `Group` root.

RRCura

75% match

Loading thumbnail…

Gist 4753564

This example demonstrates a JavaFX-based interactive scene builder where users can configure a custom table view and slider controls. The code constructs a UI using `javafx.scene.layout`, `javafx.scene.control`, and a custom `JFXTableView`, while binding data through `ObservableList` and `FXCollections`. It integrates a `DoubleSlider` and `DoubleTextField` for precise numeric input, with event handling via `EventHandler` and property binding through `javafx.beans.binding`. The rendering relies on JavaFX's scene graph, and the simulation is defined in Scala with `scala.collection.JavaConversions` for interoperability.

RRCura

69% match

Loading thumbnail…

tmp

This example demonstrates an interactive XY line chart that visualizes multivariate data arrays, mapping X, Y, and Z coordinates while allowing users to apply range filters to specific data columns. The implementation uses Scala with JavaFX collections (FXCollections) for managing dynamic filter lists and processing data through custom variable handling. The visualization relies on the OpenMOLE framework's Variable and VariableData APIs to concatenate streaming data arrays. Filtering operations transpose the data table and apply minimum/maximum bounds to selected columns, producing filtered arrays for rendering. The example also uses spray.json for JSON serialization of coordinate data with color assignments.

RRCura

63% match

Loading thumbnail…

drge

This example demonstrates a simple interactive color-changing rectangle inside a ScalaFX application. It shows a basic JavaFX scene with a green background and a square that toggles between red and green when the mouse hovers over it. The code uses ScalaFX’s `JFXApp`, `Scene`, and `Rectangle` APIs, along with a binding expression (`fill <== when(hover)`) to trigger the color change. The rectangle is drawn directly as a shape node, with no external data source.

RRCura

62% match

Loading thumbnail…

Untitled

This example renders a simple line chart with twenty-one randomly generated data points using D3 version 5. The chart uses `d3.scaleLinear` for both axes and `d3.line` with `d3.curveMonotoneX` smoothing to draw the line, while individual data points appear as circles. The SVG output is styled with CSS classes for the line and dots, and mouseover events log data to the console. The visualization demonstrates basic D3 plotting techniques without external data sources, relying on `d3.randomUniform` for its synthetic dataset.

EEvan Burchard

62% match

Loading thumbnail…

simple line chart

This example shows a simple line chart that visualizes a randomly generated dataset of thirty points, with each point’s y-value incrementing by a random offset from the previous point. The chart displays the overall trend of the series, with a final value label and x-axis tick labels for each data index. The code uses D3 v3 to append an SVG, create linear scales for the x and y axes, and draw the line via `d3.svg.line()`. The data is generated inline using JavaScript’s `Math.random()` within a `d3.range()` map, and the chart is rendered as an SVG path with a black stroke.

BBrunoDumas

60% match

Loading thumbnail…

Untitled

A line chart displays 21 randomly generated data points via d3.randomUniform, rendered as an amber monotone-smoothed path with circular markers in SVG. The visualization uses d3.axisBottom and d3.axisLeft for scales, with mouseover handlers logging data to the console but lacking full interactive tooltips. The line generator d3.line applies curveMonotoneX, while the chart fills the window and includes commented-out overlay code for potential focus interactions.

Eedxiao97

60% match

Loading thumbnail…

Untitled

This example shows a continuously updating line chart that plots random data points in real time, with a smooth curve and a filled area beneath it. The chart scrolls horizontally as new points are added, while the x-axis shifts to keep the latest data in view. It uses D3 v4 scales and generators such as `d3.line` with `d3.curveCardinal` for the smooth path, `d3.area` for the fill, and `d3.axisBottom` for the axis. Animated transitions with `transition.attr` and `ease` shift both the path and area, with grid lines drawn as static SVG paths.

IIgor Borzunov

60% match