SectorChart3D

SectorChart3D[{{x1,y1,z1},{x2,y2,z2},}]

makes a 3D sector chart with sector angle proportional to xi, radius yi, and height zi.

SectorChart3D[{,wi[{xi,yi,zi},],,wj[{xj,yj,zj},],}]

makes a 3D sector chart with sector features defined by the symbolic wrappers wk.

SectorChart3D[{data1,data2,}]

makes a 3D sector chart from multiple datasets datai.

Details and Options

Examples

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Basic Examples  (4)

A 3D sector chart representing angle, radii, and height:

An annular 3D sector chart:

Multiple datasets:

Set the style for sectors:

Use procedural sectors:

Scope  (32)

Data and Layouts  (12)

Items in a dataset are grouped together:

Datasets do not need to have the same number of items:

Nonreal data is taken to be missing and typically is ignored in the sector chart:

The data may include units:

The time stamps in TimeSeries, EventSeries, and TemporalData are ignored:

The values in associations are taken as the values of the sectors:

Use the keys as labels:

Use the keys as legends:

Associations can be nested:

The weights in WeightedData are ignored:

Use different layouts to display multiple datasets:

Control the direction of sectors:

Control the starting angle of sectors:

Control the starting radius of sectors:

Adjust the spacing between sectors and groups of sectors:

Wrappers  (4)

Use wrappers on individual data, datasets, or collections of datasets:

Wrappers can be nested:

Override the default tooltips:

Use any object in the tooltip:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Styling and Appearance  (8)

Use an explicit list of styles for the sectors:

Use any gradient or indexed color schemes from ColorData:

Use color schemes designed for charting:

ChartBaseStyle can be used to set an initial style for all chart elements:

Style can be used to override styles:

Use built-in programmatically generated sectors:

For detailed settings, use Palettes ChartElementSchemes:

Use a theme with dark background and profile 3D sectors:

Use a monochrome theme:

Labeling and Legending  (8)

Use Labeled to add a label to a sector:

Use symbolic positions for label placement:

Provide categorical labels for the columns of data:

For rows of data:

For both:

Use Placed to control the positioning of labels, using the same positions as for Labeled:

Provide value labels for sectors by using LabelingFunction:

Add categorical legend entries for the columns of data:

For rows of data:

Use Legended to add additional legend entries:

Use Placed to affect the positioning of legends:

Options  (58)

ChartBaseStyle  (5)

Use ChartBaseStyle to style all sectors:

ChartBaseStyle combines with ChartStyle:

ChartStyle may override settings for ChartBaseStyle:

ChartBaseStyle combines with Style:

Style may override settings for ChartBaseStyle:

ChartBaseStyle combines with ColorFunction:

ColorFunction may override settings for ChartBaseStyle:

ChartElementFunction  (6)

Get a list of built-in settings for ChartElementFunction:

For detailed settings, use Palettes ChartElementSchemes:

Use ChartElementData to specify the same chart element rendering function as above:

Use metadata passed on from the input, in this case charting the data:

Give a list of ChartElementFunction:

Built-in element functions may have options; use Palettes ChartElementSchemes to set them:

ChartLabels  (6)

By default, labels are placed in the center:

Labeled wrappers in data will place additional labels:

Use Placed to control label placement:

Positions outside the sector:

Callout positions:

Coordinate-based placement relative to a sector:

Use the third argument to Placed to control formatting:

By default, labels are associated with columns of data:

Associate labels with rows or datasets:

Label both rows and columns:

Use Placed to affect placements:

Place multiple labels:

ChartLayout  (2)

ChartLayout is grouped by default in concentric rings:

Use stacked sectors:

The stacked layout can display many datasets:

ChartLegends  (6)

Generate a legend based on chart style:

Use Legended to add additional legend entries:

Or to specify individual legend entries:

Generate a legend for datasets:

Unused legend labels are dropped:

Legends can be applied to several dimensions:

Use Placed to control the placement of legends:

ChartStyle  (6)

Use ChartStyle to style sectors:

Give a list of styles:

Use "Gradient" colors from ColorData:

Use "Indexed" colors from ColorData:

Styles are used cyclically:

Style each column of data:

Style each row of data:

Style both rows and columns of data:

With both row and column styles the last style may override earlier ones:

Style overrides settings for ChartStyle:

ColorFunction overrides settings for ChartStyle:

ColorFunction  (4)

Color by sector angle:

Use ColorFunctionScaling->False to get unscaled angular values:

ColorFunction overrides styles in ChartStyle:

Use ColorFunction to combine different style effects:

ColorFunctionScaling  (2)

Use ColorFunctionScaling->False to get unscaled height values:

Color by area:

LabelingFunction  (8)

Use automatic labeling by values through Tooltip and StatusArea:

Do no labeling:

Use Placed to control label placement:

Symbolic positions outside the sector:

Positions for callout labels:

Coordinate-based placement relative to a bar:

Place all labels at the first outer corner and vary the coordinates within the label:

Control the formatting of labels:

Use the given chart labels as arguments to the labeling function:

PerformanceGoal  (3)

Generate a sector chart with interactive highlighting:

Emphasize performance by disabling interactive behaviors:

Typically less memory is required for noninteractive charts:

PlotTheme  (1)

Use a theme with plateau sectors in a bright color scheme:

Change the color scheme:

SectorOrigin  (4)

By default sectors start on the left and add clockwise:

Generate a donut chart for a list of values:

Reverse the direction of the sectors:

Rotate the chart by :

SectorSpacing  (5)

Use automatically determined spacing between sectors:

Use no spacing:

Use symbolic presets:

Use explicit spacing between sectors:

Use explicit spacing between sectors and groups of sectors:

Applications  (3)

Click on the sectors to hear a detailed report on the country:

Highlight a 3D pie chart by extruding a sector:

Display GDP, poverty fraction, and population for countries in Africa:

Define a labeling function for more complex tooltips:

Mouseover the bubbles to view a country's data:

Properties & Relations  (4)

SectorChart3D is a generalization of PieChart3D:

Use SectorChart to render sectors in 2D:

Use BubbleChart to render triples as bubbles:

Use ListPointPlot3D to render triples as points:

Neat Examples  (2)

Chartwork:

Introduced in 2008
 (7.0)
 |
Updated in 2012
 (9.0)
2014
 (10.0)