Search Results for "legend"

Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform...

PlotVISOR is a visual assistant for contour plots. By following the instructions (1) to (4) in the program window, users can map the legend of any contour plot and use it to identify values otherwise difficult to interpret. If "???" is displayed instead of a valid result, disable lighting enhancements (within your host software) and/or remap the calibration curve. PlotVISOR has been configured to accommodate mild lighting variation from rendering, but this may affect results by ±1 legend increment.

...TrueType fonts (TTF) are optional, or built-in GD fonts can be used. The available plot types include: area, bars, line/points, lines, pie, points, squared, stacked-bars, and thin bar-line. Labels, tick marks, plot legend, and X/Y axes and more are all configurable. Images can be imported as a background, multiple graphs can be drawn on one image, and images can be saved to disk or returned to a browser.

This free charting library supporting in the initial version line plot and bar plots. Provides: Axis sharing independent rescaling and panning of axis and datasets. Basic tooltips Legend displayer component with ability to select the active dataset. It is designed upon the Model View Controller paradigm. This mean that the dataset related API is abstracted in a model. This model is used by the swing components. Display related functionality is limited to the swing components with no interaction with the model.

MLPlot is a lightweight plotting library written in Java. It produces vector graphics in the SVG format but can also save EPS, JPG, PNG,..(if convert and inkscape are installed). The goal is to imitate MATLAB's 2D plotting functionality.

Simple OS X "droplet" for quick data visualization. Drag-and-drop one or more text files containing series data and a simple scatter plot is generated containing each series with different symbols, legend, etc. GUI-less alternative to gnome PlotDrop.