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PieChart

✖
`PieChart`

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PieChart[{y₁,y₂,…,y_n}]

makes a pie chart with sector angle proportional to y₁, y₂, ….

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PieChart[{…,w_i[y_i,…],…,w_j[y_j,…],…}]

makes a pie chart with sector features defined by the symbolic wrappers w_k.

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PieChart[{data₁,data₂,…}]

makes a pie chart from multiple datasets data_i.

Details and Options

Pie charts are also known as donut charts when a hole is left in the middle.
PieChart shows the values in a dataset as proportional slices of a whole circle. Pie charts are typically used when the data is small.

Data elements for PieChart can be given in the following forms:

	y_i	a pure sector value
	Quantity[y_i,unit]	sector value with a unit
	w_i[y_i,…]	a sector with value y_i and wrapper w_i
	form_i->m_i	a sector form with metadata m_i

Data not given in these forms is ignored in forming the pie chart.
Datasets for PieChart can be given in the following forms:

	{e₁,e₂,…}	list of elements with or without wrappers
	<\|k₁y₁,k₂y₂,…\|>	association of keys and values
	TimeSeries[…],EventSeries[…],TemporalData[…]	time series, event series, and temporal data
	WeightedData[…],EventData[…]	augmented datasets
	w[{e₁,e₂,…},…]	wrapper applied to a whole dataset
	w[{data₁,data₁,…},…]	wrapper applied to all datasets

PieChart[Tabular[…]cspec] extracts and plots values from the tabular object using the column specification cspec.
The following forms of column specifications cspec are allowed for plotting tabular data:
col plot values from column col

{col₁,col₂,…,col_n} plot columns {col₁, …, col_n} as a group of values
The following wrappers can be used for chart elements:

	Annotation[e,label]	provide an annotation
	Button[e,action]	define an action to execute when the element is clicked
	Callout[e,label]	display the element with a callout
	EventHandler[e,…]	define a general event handler for the element
	Hyperlink[e,uri]	make the element act as a hyperlink
	Labeled[e,…]	display the element with labeling
	Legended[e,…]	include features of the element in a chart legend
	Mouseover[e,over]	make the element show a mouseover form
	PopupWindow[e,cont]	attach a popup window to the element
	StatusArea[e,label]	display in the status area when the element is moused over
	Style[e,opts]	show the element using the specified styles
	Tooltip[e,label]	attach an arbitrary tooltip to the element

In PieChart, Labeled and Placed allow the following positions:

	"RadialOuter","RadialCenter","RadialInner"	positions within sectors
	"RadialOutside","RadialInside","RadialEdge"	positions outside sectors
	"RadialCallout", "VerticalCallout"	positions with callout lines
	{{s_θ,s_r},{l_x,l_y}}	scaled position {l_x,l_y} in the label at scaled polar position {s_θ,s_r} in the sector

In PieChart, Callout allows the following positions pos:

	Automatic	automatic placement
	{x,y}	position in the graphic
	Scaled[{s_θ,s_r}]	scaled polar position {s_θ,s_r} in the sector
	{pos,{l_x,l_y}}	scaled position {l_x,l_y} in the label at position pos

PieChart has the same options as Graphics with the following additions and changes: [List of all options]

ChartBaseStyle	Automatic	overall style for sectors
ChartElementFunction	Automatic	how to generate raw graphics for sectors
ChartLabels	None	labels for data elements and datasets
ChartLayout	Automatic	overall layout to use
ChartLegends	None	legends for data elements and datasets
ChartStyle	Automatic	style for sector
ColorFunction	Automatic	how to color sectors
ColorFunctionScaling	True	whether to normalize arguments to ColorFunction
LabelingFunction	Automatic	how to label sectors
LabelingSize	Automatic	maximum size of callouts and labels
LegendAppearance	Automatic	overall appearance of legends
PerformanceGoal	$PerformanceGoal	aspects of performance to try to optimize
PlotRange	Automatic	range of values to include
PlotTheme	$PlotTheme	overall theme for the chart
PolarAxes	False	whether to draw polar axes
PolarAxesOrigin	Automatic	where to draw polar axes
PolarGridLines	None	polar gridlines to draw
PolarTicks	Automatic	polar axes ticks
SectorOrigin	Automatic	initial angle and radius of sectors
SectorSpacing	Automatic	spacing between sectors
TargetUnits	Automatic	units to display in the chart

Possible settings for ChartLayout that show multiple datasets in a single display panel include:
"Grouped" separate the data for each dataset

"Stacked" accumulate the data for each dataset
Possible settings for ChartLayout that show individual datasets in different panels include:

	"Column"	use separate charts in a column of panels
	"Row"	use separate charts in a row of panels
	{"Column",k},{"Row",k}	use k columns or rows
	{"Column",UpTo[k]},{"Row",UpTo[k]}	use at most k columns or rows

The arguments supplied to ChartElementFunction are the sector region {{θ_min,θ_max},{r_min,r_max}}, the values y_i, and the metadata {m₁,m₂,…} from each level in a nested list of datasets.
A list of built-in settings for ChartElementFunction can be obtained from ChartElementData["PieChart"].
The argument supplied to ColorFunction is y_i.
Style and other specifications from options and other constructs in PieChart are effectively applied in the order ChartStyle, ColorFunction, Style and other wrappers, and ChartElementFunction, with later specifications overriding earlier ones.

List of all options

AlignmentPoint	Center	the default point in the graphic to align with
AspectRatio	Automatic	ratio of height to width
Axes	False	whether to draw axes
AxesLabel	None	axes labels
AxesOrigin	Automatic	where axes should cross
AxesStyle	{}	style specifications for the axes
Background	None	background color for the plot
BaselinePosition	Automatic	how to align with a surrounding text baseline
BaseStyle	{}	base style specifications for the graphic
ChartBaseStyle	Automatic	overall style for sectors
ChartElementFunction	Automatic	how to generate raw graphics for sectors
ChartLabels	None	labels for data elements and datasets
ChartLayout	Automatic	overall layout to use
ChartLegends	None	legends for data elements and datasets
ChartStyle	Automatic	style for sector
ColorFunction	Automatic	how to color sectors
ColorFunctionScaling	True	whether to normalize arguments to ColorFunction
ContentSelectable	Automatic	whether to allow contents to be selected
CoordinatesToolOptions	Automatic	detailed behavior of the coordinates tool
Epilog	{}	primitives rendered after the main plot
FormatType	TraditionalForm	the default format type for text
Frame	False	whether to put a frame around the plot
FrameLabel	None	frame labels
FrameStyle	{}	style specifications for the frame
FrameTicks	Automatic	frame ticks
FrameTicksStyle	{}	style specifications for frame ticks
GridLines	None	grid lines to draw
GridLinesStyle	{}	style specifications for grid lines
ImageMargins	0.	the margins to leave around the graphic
ImagePadding	All	what extra padding to allow for labels etc.
ImageSize	Automatic	the absolute size at which to render the graphic
LabelingFunction	Automatic	how to label sectors
LabelingSize	Automatic	maximum size of callouts and labels
LabelStyle	{}	style specifications for labels
LegendAppearance	Automatic	overall appearance of legends
Method	Automatic	details of graphics methods to use
PerformanceGoal	$PerformanceGoal	aspects of performance to try to optimize
PlotLabel	None	an overall label for the plot
PlotRange	Automatic	range of values to include
PlotRangeClipping	False	whether to clip at the plot range
PlotRangePadding	Automatic	how much to pad the range of values
PlotRegion	Automatic	the final display region to be filled
PlotTheme	$PlotTheme	overall theme for the chart
PolarAxes	False	whether to draw polar axes
PolarAxesOrigin	Automatic	where to draw polar axes
PolarGridLines	None	polar gridlines to draw
PolarTicks	Automatic	polar axes ticks
PreserveImageOptions	Automatic	whether to preserve image options when displaying new versions of the same graphic
Prolog	{}	primitives rendered before the main plot
RotateLabel	True	whether to rotate y labels on the frame
SectorOrigin	Automatic	initial angle and radius of sectors
SectorSpacing	Automatic	spacing between sectors
TargetUnits	Automatic	units to display in the chart
Ticks	Automatic	axes ticks
TicksStyle	{}	style specifications for axes ticks

Examples

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Basic Examples (5)Summary of the most common use cases

Generate a pie chart for a list of values:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-em9h6k

Out[1]=1

Generate a donut chart for a list of values:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-ipv01k

Out[1]=1

Generate a pie chart for multiple datasets:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-84qozl

Out[1]=1

Show multiple sets as a row of pie charts:

In[2]:=2

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https://wolfram.com/xid/0cg4kc6t7-ggst4z

Out[2]=2

Use categorical labels:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-drw36v

Out[1]=1

Categorical legends:

In[2]:=2

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https://wolfram.com/xid/0cg4kc6t7-f9oo42

Out[2]=2

Set the style for sectors:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-e2us0c

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Scope (38)Survey of the scope of standard use cases

Data and Layouts (13)

Items in a dataset are grouped together:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-j213wq

Out[1]=1

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

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-4nweqa

Out[1]=1

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

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-bibvmw

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The data may include units:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-7bo8p2

Out[1]=1

Specify the units to use:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-c1j6si

Out[1]=1

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-erdnh4

Out[1]=1

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

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-fapjdf

Out[1]=1

Use the keys as labels:

In[2]:=2

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https://wolfram.com/xid/0cg4kc6t7-berasr

Out[2]=2

Use the keys as callouts above the sectors:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-tjqoa8

Out[3]=3

Use the keys as legends:

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-laiqvh

Out[4]=4

Associations can be nested:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-3hzlhk

Out[1]=1

The weights in WeightedData are ignored:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-8nlbze

Out[1]=1

The censoring and truncation information in EventData is ignored:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-78g22i

Out[2]=2

Use different layouts to display multiple datasets:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-jem942

Out[1]=1

Control the direction of sectors:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-crsw8z

Out[1]=1

Control the starting angle of sectors:

In[2]:=2

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https://wolfram.com/xid/0cg4kc6t7-b6l07n

Out[2]=2

Control the starting radius of sectors:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-f11r5t

Out[1]=1

Adjust the spacing between sectors and groups of sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ire63a

Out[1]=1

Tabular Data (1)

Get tabular data, counted by the "class" and "survived" columns:

In[1]:=1

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https://wolfram.com/xid/0cg4kc6t7-0og8bm

Out[1]=1

Create a chart of how many passengers were in each ticket class:

In[2]:=2

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https://wolfram.com/xid/0cg4kc6t7-q7iydl

Out[2]=2

In[3]:=3

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https://wolfram.com/xid/0cg4kc6t7-n5slo8

Out[3]=3

Show how many passengers survived and how many perished:

In[4]:=4

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https://wolfram.com/xid/0cg4kc6t7-mg8iiy

Out[4]=4

In[5]:=5

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https://wolfram.com/xid/0cg4kc6t7-f7dh60

Out[5]=5

Display the number of passengers who survived by ticket class:

In[6]:=6

✖

https://wolfram.com/xid/0cg4kc6t7-cjoxrq

Out[6]=6

In[7]:=7

✖

https://wolfram.com/xid/0cg4kc6t7-zw9gne

Out[7]=7

Use stacked sectors for the display:

In[8]:=8

✖

https://wolfram.com/xid/0cg4kc6t7-h3d3i4

Out[8]=8

Wrappers (5)

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-fv6xu4

Out[1]=1

Wrappers can be nested:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-d78b5k

Out[1]=1

Override the default tooltips:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-dw7akx

Out[1]=1

Use any object in the tooltip:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-bshk9y

Out[2]=2

Use PopupWindow to provide additional drilldown information:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-9oa0q

Out[1]=1

Button can be used to trigger any action:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-j1231b

Out[1]=1

Styling and Appearance (7)

Use an explicit list of styles for the sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-fihngk

Out[1]=1

Use any gradient or indexed color schemes from ColorData:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gp1e

Out[1]=1

Use color schemes designed for charting:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c4f5rf

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-fchssf

Out[2]=2

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-prid3j

Out[1]=1

Style can be used to override styles:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-o2q0l

Out[1]=1

Use built-in programmatically generated sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-wvz8c

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-f2wd4m

Out[2]=2

For detailed settings use Palettes ▶ ChartElementSchemes:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-fhi6g2

Out[3]=3

Use a theme with a high-contrast color scheme and bezel sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cp1r5h

Out[1]=1

Use a monochrome theme:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-cc11m1

Out[2]=2

Labeling and Legending (12)

Use Labeled to add a label to a sector:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-keu5cx

Out[1]=1

Use symbolic positions for label placement:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-dknv2m

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-hkqmb4

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-7k69yc

Out[3]=3

Provide categorical labels for the columns of data:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-xqnad

Out[1]=1

For rows of data:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-lqpe2a

Out[2]=2

For both:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-jvgfhd

Out[3]=3

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ocux9

Out[1]=1

Use Callout to add a label to a sector:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-hrgnu6

Out[1]=1

Change the appearance of the callout:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-pmmdcv

Out[1]=1

Automatically position callouts:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-22233u

Out[1]=1

Provide value labels for sectors by using LabelingFunction:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ci7n67

Out[1]=1

Generate callouts from the data:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-1l8t7w

Out[1]=1

Add categorical legend entries for the columns of data:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-dnvp16

Out[1]=1

For rows of data:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-b2cb3h

Out[2]=2

Use Legended to add additional legend entries:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-mpyvi

Out[1]=1

Use Placed to affect the positioning of legends:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gizo69

Out[1]=1

Options (75)Common values & functionality for each option

ChartBaseStyle (5)

Use ChartBaseStyle to style sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gkdy1d

Out[1]=1

ChartBaseStyle combines with ChartStyle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-hilrob

Out[1]=1

ChartStyle may override settings for ChartBaseStyle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-nykrk

Out[1]=1

ChartBaseStyle combines with Style:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-e8vs4c

Out[1]=1

Style may override settings for ChartBaseStyle:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-njm38a

Out[2]=2

ChartBaseStyle combines with ColorFunction:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-mgk40x

Out[1]=1

ColorFunction may override settings for ChartBaseStyle:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-gx8lzq

Out[2]=2

ChartElementFunction (6)

Possible string values for ChartElementFunction:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-82zet

Out[1]=1

For detailed settings, use Palettes ▶ ChartElementSchemes:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-enr6pq

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-33mdzr

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-wtngoz

Out[3]=3

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-nm3mz4

Out[4]=4

Use ChartElementData to specify the full chart element rendering function:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-rrwiy

Out[1]=1

Write a custom ChartElementFunction:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-hzymn5

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-irvh9i

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-f8fo72

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-iwghyt

Out[4]=4

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-fvk48j

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-c5ph2v

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-raamjl

Out[3]=3

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-fjaidg

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-eqia3q

Out[2]=2

ChartLabels (8)

By default, labels are placed radially centered:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-b6vqtn

Out[1]=1

Labeled wrappers in data will place additional labels:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-h3lfo1

Out[2]=2

Use Placed to control label placement:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-jtjhg1

Out[1]=1

Positions outside the sector:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-40261

Out[2]=2

Callout positions:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-0qtyb2

Out[3]=3

Coordinate based placement relative to a sector:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-w3f0f

Out[1]=1

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-hcxj83

Out[1]=1

Use the third argument to Placed to control formatting:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-jpbwst

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-ofibw3

Out[2]=2

Use a hyperlink label:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-eme0ru

Out[3]=3

By default, labels are associated with columns of data:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c41xrn

Out[1]=1

Associate labels with rows or datasets:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-bxwbr9

Out[2]=2

Label both rows and columns:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-brr87x

Out[3]=3

Use Placed to affect placements:

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-do9c6b

Out[4]=4

Use Callout to connect the labels to the sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-xgj9b7

Out[1]=1

Place multiple labels:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ctd6wo

Out[1]=1

ChartLayout (4)

ChartLayout is grouped by default in concentric rings:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ct00zg

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-bgfd7b

Out[2]=2

Use stacked sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c5fb3m

Out[1]=1

The stacked layout can effectively display many datasets:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-cce7z5

Out[2]=2

Place each set in a separate panel:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-b8mqto

Out[1]=1

Use a row instead of a column:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-fokl8z

Out[2]=2

Use multiple columns or rows:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c9ydr9

Out[1]=1

Prefer full columns or rows:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-hvjt9m

Out[2]=2

ChartLegends (8)

Generate a legend based on chart style:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gfvv31

Out[1]=1

Use Legended to add additional legend entries:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-nsr5vg

Out[1]=1

Use Legended to specify individual legend entries:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c901ne

Out[1]=1

Legended adds additional legend entries:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bv8j7g

Out[1]=1

Generate a legend for datasets:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bwg6ep

Out[1]=1

Unused legend labels are dropped:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gsg25

Out[1]=1

Legends can be applied to several dimensions:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-biznmd

Out[1]=1

Use Placed to control the placement of legends:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-eaxd0g

Out[1]=1

ChartStyle (7)

Use ChartStyle to style sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-m5lye

Out[1]=1

Give a list of styles:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-e6xe38

Out[1]=1

Use gradient colors from ColorData:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-4cjhr

Out[2]=2

Use indexed colors from ColorData:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-iclxc4

Out[3]=3

Use indexed colors optimized for charting:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cfbyi5

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-ejbsca

Out[2]=2

Styles are used cyclically:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cm40br

Out[1]=1

Style each column of data:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-da9kf2

Out[1]=1

Style each row of data:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-dwlbwl

Out[2]=2

Style both rows and columns of data:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-gcadcd

Out[3]=3

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

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-etkt60

Out[4]=4

Style overrides settings for ChartStyle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-r2mo0

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-pb2ycl

Out[2]=2

ColorFunction overrides settings for ChartStyle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-4do26

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-j4ek6q

Out[2]=2

ColorFunction (3)

Color by sector angle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-d3hk7z

Out[1]=1

Use ColorFunctionScaling->False to get unscaled height values:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-kqwxgj

Out[1]=1

ColorFunction overrides styles in ChartStyle:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-k6tybo

Out[1]=1

Use ColorFunction to combine different style effects:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-4lgu4v

Out[2]=2

ColorFunctionScaling (3)

By default, scaled height values are used:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-csyn1w

Out[1]=1

Set ColorFunctionScaling to False to allow raw values to be passed to the color function:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ksgzv3

Out[1]=1

Use ColorFunctionScaling->False to get unscaled height values:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-4vis1

Out[1]=1

ImageSize (7)

Use named sizes, such as Tiny, Small, Medium and Large:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cpcypn

Out[1]=1

Specify the width of the plot:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-4dapt

Out[1]=1

Specify the height of the plot:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-do6y4m

Out[2]=2

Allow the width and height to be up to a certain size:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c9m30b

Out[1]=1

Specify the width and height for a graphic, padding with space if necessary:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-frhsjr

Out[1]=1

Use maximum sizes for the width and height:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c4w8dd

Out[1]=1

Use ImageSizeFull to fill the available space in an object:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-x1908e

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-eatvxc

Out[2]=2

Specify the image size as a fraction of the available space:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-daw9hy

Out[1]=1

LabelingFunction (7)

Use automatic labeling by values through Tooltip and StatusArea:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-o9zqx5

Out[1]=1

Do no labeling:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-8yasi

Out[1]=1

Use Placed to control label placement:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gl2ad7

Out[1]=1

Positions outside the sector:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-eyt0bn

Out[2]=2

Callout positions:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-iqmvm8

Out[3]=3

Coordinate-based placement relative to a sector:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-b11rh3

Out[1]=1

Use Callout to place labels automatically:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ocffyd

Out[1]=1

Control the formatting of labels:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cxc7ri

Out[1]=1

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

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-n9xh0i

Out[1]=1

Place complete labels as tooltips:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-ci9a41

Out[2]=2

LabelingSize (4)

Textual labels are shown at their actual sizes:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-t7qmke

Out[1]=1

Image labels are automatically resized:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-vny20w

Out[1]=1

Specify a maximum size for textual labels:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bz8jld

Out[1]=1

Specify a maximum size for image labels:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-hy9uc7

Out[2]=2

Show image labels at their natural sizes:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-4rxwe0

Out[1]=1

PerformanceGoal (3)

Generate a pie chart with interactive highlighting:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-e280bs

Out[1]=1

Emphasize performance by disabling interactive behaviors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bu9b2g

Out[1]=1

Typically, less memory is required for noninteractive charts:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-1eytp

Out[1]=1

PlotTheme (1)

Use a theme with a high-contrast color scheme and bezel sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-l2496t

Out[1]=1

Change the chart element function:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-ege3a5

Out[2]=2

SectorOrigin (4)

By default, sectors start on the left and add clockwise:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ilmu1d

Out[1]=1

Generate a donut chart for a list of values:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-caop8o

Out[1]=1

Reverse the direction of the sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-chw0hm

Out[1]=1

Rotate the chart by :

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-fff0nr

Out[1]=1

SectorSpacing (5)

Use automatically determined spacing between sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-gbo7on

Out[1]=1

Use no spacing:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bhqoh0

Out[1]=1

Use symbolic presets:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cyfias

Out[1]=1

Use explicit spacing between sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-vppz2r

Out[1]=1

Use explicit spacing between sectors and groups of sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-99aub

Out[1]=1

Applications (15)Sample problems that can be solved with this function

Create a circular histogram:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-c39y6c

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-i3s3hu

Out[2]=2

Improve legibility of small segments by charting them with an auxiliary pie chart:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-cbsefn

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-g2i76y

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-i8k0w5

Out[3]=3

Improve legibility of small segments by charting them with an auxiliary bar chart:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-brcxtu

Use a stacked bar chart to represent small segments:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-bbs0iv

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-dk2yt8

Out[3]=3

Click on the sectors to hear the name of the country and its GDP per capita:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-j5wzo

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-o67fa

Out[2]=2

Proportion of each color in the United States flag:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-2yjnzx

Out[1]=1

Tally the most frequently used colors:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-n6tpvu

Out[2]=2

Chart it:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-uyaie

Out[3]=3

GDP comparison of G7 nations:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-7iorwg

Out[1]=1

Percentage of total elements discovered by countries:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-di56qh

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-r5aqzn

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-vdw89p

Out[3]=3

Count the number of times each letter occurs in a sentence:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bsopdh

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-5i3tay

Out[2]=2

Group sectors by product type:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-qeiibp

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-i9xb0i

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-dgec8c

Out[3]=3

Create a pie chart capable of interactive drilling down of a stock portfolio:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-k83ikd

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-dkskoe

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-d71r81

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-g6llvx

In[5]:=5

✖

https://wolfram.com/xid/0cg4kc6t7-fvsa5a

Mouse over a sector to get a pie chart of the companies that comprise that sector:

In[6]:=6

✖

https://wolfram.com/xid/0cg4kc6t7-m4l8l5

Out[6]=6

Click on a sector to get a pie chart of the companies that comprise that sector:

In[7]:=7

✖

https://wolfram.com/xid/0cg4kc6t7-eilhnz

Out[7]=7

Display oil data for the G15 countries using pie charts to indicate import and export:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-btyh94

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-8upf9

Out[2]=2

Create a chart of individual pie chart sectors:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-br8oc7

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-s6qup

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-h53giv

Out[3]=3

Create a pie chart histogram of element discovery years from 1700 to 2000:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ubmlx

Define a chart element function that stores bin intervals and count data using Sow:

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-dafduz

Create a histogram of the discovery years and store the bin interval and frequencies:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-ms6oww

Create a histogram pie chart of element discovery years:

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-wsls8

Out[4]=4

Visualize chemical composition using pie charts:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-jpi61c

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-scagyn

Out[2]=2

Analyze locations of strong earthquakes:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-tksaen

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0cg4kc6t7-i4ye96

Out[2]=2

Define continents and oceans:

In[3]:=3

✖

https://wolfram.com/xid/0cg4kc6t7-blepzp

Out[3]=3

In[4]:=4

✖

https://wolfram.com/xid/0cg4kc6t7-zu3vea

Count the number of earthquakes per region:

In[5]:=5

✖

https://wolfram.com/xid/0cg4kc6t7-t0q252

Out[5]=5

In[6]:=6

✖

https://wolfram.com/xid/0cg4kc6t7-tdqi7n

Out[6]=6

Select regions with earthquakes:

In[7]:=7

✖

https://wolfram.com/xid/0cg4kc6t7-bj5cwe

In[8]:=8

✖

https://wolfram.com/xid/0cg4kc6t7-vqpbc7

Out[8]=8

Properties & Relations (4)Properties of the function, and connections to other functions

Use PieChart3D to get a 3D rendering of pie charts:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-ph6w8

Out[1]=1

PieChart is a special case of SectorChart:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-d5p17r

Out[1]=1

Use BarChart and BarChart3D to draw a list of data as bars:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-0srj1

Out[1]=1

Use ListPlot and ListLinePlot to produce line graphs:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-e6grf

Out[1]=1

Neat Examples (3)Surprising or curious use cases

A hue saturation color wheel:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-bnba3l

Out[1]=1

Chartwork:

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-m00oc

Out[1]=1

In[1]:=1

✖

https://wolfram.com/xid/0cg4kc6t7-h0ejdw

Out[1]=1

Top

	col	plot values from column col
	{col₁,col₂,…,col_n}	plot columns {col₁, …, col_n} as a group of values

		"Grouped"	separate the data for each dataset
		"Stacked"	accumulate the data for each dataset

PieChart ✖ PieChart

Details and Options

List of all options

Examples

Basic Examples (5)Summary of the most common use cases

Scope (38)Survey of the scope of standard use cases

Data and Layouts (13)

Tabular Data (1)

Wrappers (5)

Styling and Appearance (7)

Labeling and Legending (12)

Options (75)Common values & functionality for each option

ChartBaseStyle (5)

ChartElementFunction (6)

ChartLabels (8)

ChartLayout (4)

ChartLegends (8)

ChartStyle (7)

ColorFunction (3)

ColorFunctionScaling (3)

ImageSize (7)

LabelingFunction (7)

LabelingSize (4)

PerformanceGoal (3)

PlotTheme (1)

SectorOrigin (4)

SectorSpacing (5)

Applications (15)Sample problems that can be solved with this function

Properties & Relations (4)Properties of the function, and connections to other functions

Neat Examples (3)Surprising or curious use cases

See Also

Related Guides

Related Links

History

Text

CMS

APA

BibTeX

BibLaTeX

PieChart

✖
`PieChart`