However, such effects are rather for eye-catching purposes. Often, the effect of color gradients created due to lighting can give the bars a more professional look and feel. Lighting can be used to control the colors of the bars. Default: 0.2f.Įxample: using initial color in constructor, all groups are colored the same color, setting border line width, setting border dash style, setting bar width to 0.5f, setting padding to 0.6f Note how the Padding parameter also indirectly influences the width of the bars. 1 corresponds to maximum space between groups. 0 corresponds to no padding between groups. The Padding property sets the padding between groups for grouped, hist or histc styles. A value of 1.0f corresponds to adjacent bars within a group touching each other. The width is specified as a scalar value in the range 0.0f. The constructor parameter barWidth or property BarWidth controls the width of all bars. The constructor parameter lineWidth sets the line width of bar borders. If the constructor parameters borderColor and/or fillColor are set, then all bars in all series will be colored with this same color. By default, the color of the bars for individual series are varied automatically. Read below about further configuration options which affect selected bars only. These configurations will be valid for all bars of the plot. The following options exist to control the colors of the fill area and of the border, and the width of- as well as the padding between individual bars and between groups of bars. Configuring Bar Plot StylesīarPlot provides additional option for configuring the styling of bars. However, besides this common property such bar plots differ from surface plots in many aspects.Īnother, more advanced option to create such 'surface-like' bar plots is to use the BarPlot Ex class, which allows to apply colormaps to the bars in various ways. $N$ bars are displayed if Y is a vector of $N$ elements.Įxample: A simple grouped 2D bar plot in default style (grouped).ĭetached 3D bar plots as the one shown above are sometimes refered to as '3D Bar Surface', possibly due to their capability to visualize the values of a two dimensional data series by associating them with a height at corresponding points. 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.
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