As an example of usage of the scale formatting callback routines it is possible to further adjust the scaling in (almost) any way that is desired. In the example below we have used a small "trick" to invert the Y-axis to show a dive profile curve.

It is of course possible to show the value of each data point for both line, bar, pie plots etc. No matter what type of plot is used the interface to the formatting of the values are identical, Formatting can be done either automatically, by specifying a formatting string (in the style of "printf">, or by using the more advanced method of specifying a callback formatting function that will be called upon for each data point to create the desired display value.

Bar plots is also well catered for. Size of bars, fill colors, fill gradients, fill patterns etc are all configurable settings. It is also possible to use both accumulated, group or just plain bar graphs. For enhanced visual appearance it is also possible to use alpha blending and backgrounds. In the second image below a callback function for the formatting of the Y-axis values is used to format the label as a number with thousand separator.

Horizontal bar graphs has also all the same formatting as standard vertical bars. In the example below we have also illustrated how it is possible to adjust the position of the value that can be displayed for each bar.

In the examples below we show two more formatting possibilities. The first example shows the addition of one of the pre-defined country flags as a background and the second example shows the addition of a background pattern between 2 Y-values.

For Pie plots all the ordinary formatting (colors, size etc) is of course available. In addition it is also possible to specify details such as, angle for first slice, the use of themes to automatically select a color set, position of pie, explode one or several slices. Pie plots also use Hare-Niemer integer compensation to make sure that all displayed values on slices always add up to 100%.

Scatter plots is very similar to Line plots. They are used to display a number of data points that are defined by it's X- and Y-value. Each data point can be illustrated by one of the available plot-marks.

By combining a scatter plot with a line plot it is possible to for example illustrate linear regression.

Impulse plots is in a way similar to scatter and line plots. It is often used in signal processing to illustrate a sampled analogue signal which consists of a weighted pulse train. In the example below we show a typical damped impulse response.

Field plots is a scatter plot with a twist. By associating a callback function to plot it is possible to easily create images of various fields (e.g. for example magnetic, motion of air or fluids).

The library also contains helper function to create smooth data from one or several control points, a.k.a spline plots. By default the library creates natural splines (2:nd derivate==0).

By combining a background image (that displays a map) with a scatter plot using plot-marks it is possible to create dynamic maps to illustrate various information. In the images below we have used the built-in "pushpin" plot-marks for a scatter plot.

Polar plots is used to display a magnitude value in a specific direction. The polar plots have two variants; a full 360-degree plot and a half 180-degree plot. The magnitude can be displayed in either linear or logarithmic scale. Each polar graph can also have one or several plots.

Polar plots can also have plot-marks which are shown in the second example below. The formatting of the axis can also be adjusted for how the labels and tick marks are displayed. Some possible variants are also shown in the images below.

Balloon plot is basically a variant of the scatter plot where a call back function is used to give the "third dimension" of the plot, i.e. the size and color of each balloon.

This type is not really a standard plot. It gives a convenient way to create arbitrary shapes on a canvas. It will allow the usage of easily created scales and access to all the convenience methods and functions available in JpGraph.

This is used to create images of what is very hard to read letters and digits that can be used to prohibit automatic signup to mail-lists and online communities.