![]() It displays $M$ groups of $N$ bars if Y is a matrix of size. The following values from the BarPlotStyle enumeration are supported:īouped is the default style. The drawing style is set by the property Style or by using the style constructor parameter. (Therefore, 'single grouped' plots resulting from vector data may not differ for some styles.) They differ in the general look, feel of the plot and in the way bars of individual data series are arranged to groups. In the following, several different drawing styles for 2D plots are demonstrated. ![]() Since the bars do not have any depth ($Z$ axis) such plots are considered as 'two-dimensional'. 2D Bar Plot StylesīarPlot, creates rectangle bars in the $X-Y$ plane by default. Hence, one may also want to take control of the way labels for the bars are displayed. However, the manual bar positioning potentially causes conflicts with the grouping of the bars. Note how the definition of individual bar positions in a grouped bar plot quickly makes things more complicated: labels are commonly auto-created for each group. A simple way of creating a bar plot is shown in the following example. ![]() Most parameters of BarPlot are configured with common default values and can be omitted in many situations. Custom Fill and Border Colors Configuration.In the ILNumerics Visualization Engine Regular bar plots are created by the class from the 2 module. ![]() Therefore, bar plots are expected to be used inside a plot cube to leverage its axis labeling capabilities. Flexible labeling options are of great importance for bar plots. Bar plots can be configured in various ways to orient the bars vertically or horizontally, to create 3D bricks (box or cuboids) instead of plain rectangular bars, and to group series of corresponding bars together by placing them next to or above each other (grouped and stacked bar plots).īar coloring brings in an additional dimension and can help improve the readablility for complex scenarios. Bar plots (also known as bar charts or bar graphs) display grouped data as rectangular bars and associate the heights of the bars with the values of the data. ![]()
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