WOLFRAM

Wolfram 语言与系统参考资料中心

CategoricalHistogram[{c1,c2,…,cn}]

从类别元素列表 c1, c2 中创建不同类别的直方图.

CategoricalHistogram[data,spec]

使用规范 spec 来确定类别.

CategoricalHistogram[data,spec,height]

使用高度值 height 来比较条柱.

CategoricalHistogram[{data1,data2,…},…]

为多个数据集 datai 绘制直方图.

更多信息
Details and Options Details and Options
范例  
基本范例  
范围  
数据与布局  
表格数据  
封装  
样式与外观  
标签与图例  
应用  
参见
历史
按以下格式引用：

CategoricalHistogram

CategoricalHistogram[{c1,c2,…,cn}]

从类别元素列表 c1, c2 中创建不同类别的直方图.

CategoricalHistogram[data,spec]

使用规范 spec 来确定类别.

CategoricalHistogram[data,spec,height]

使用高度值 height 来比较条柱.

CategoricalHistogram[{data1,data2,…},…]

为多个数据集 datai 绘制直方图.

更多信息

范例

打开所有单元 关闭所有单元

基本范例  (7)

为一组分类数据生成直方图：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cylinders per car»]]

多个数据集：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}]

用 "CategoryLabels" 重新命名得到的类别：

Wolfram Language code: data = <|"data one" -> <|"a" -> "dog", "b" -> "fish", "c" -> "fish", "d" -> "fish", "e" -> "cat", "f" -> "fish", "g" -> "cat", "h" -> "cat", "i" -> "fish", "j" -> "fish", "k" -> "fish", "l" -> "fish", "m" -> "fish"|>, "data two" -> <|"a" -> "cat", "b" -> "fish", "c" -> "cat", "d" -> "dog", "e" -> "cat", "f" -> "cat", "g" -> "cat", "h" -> "fish", "i" -> "cat", "j" -> "dog", "k" -> "cat", "l" -> "cat", "m" -> "cat"|>|>;
Wolfram Language code: CategoricalHistogram[data, <|"CategoryLabels" -> <|"cat" -> "CAT", "dog" -> "DOG"|>|>]

对于单个数据集，设置每个直条的样式：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cylinders per car»], PlotStyle -> "DarkRainbow"]

如果有多个数据集，将基于类别所属的数据集来确定样式集：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotStyle -> "DarkRainbow"]

通过 PlotStyle{style,None} 改用按类别划分的配色方案：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotStyle -> {"DarkRainbow", None}]

使用图示条：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cylinders per car»], ChartElements -> [image]]

使用不同的布局：

Wolfram Language code: Table[CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotLabel -> l, ChartLayout -> l], {l, {"Percentile", "Stacked"}}]

范围  (28)

数据与布局  (15)

系统自动确定要使用的分组：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»]]

指定要使用的类别/分组：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], {"r", "p", "e"}]

指定要使用多少个类别：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], 4]

根据数值对图表上的类别进行排序：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"CategoryOrdering" -> "Increasing"|>]

根据名称对图表上的类别进行排序：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"CategoryOrdering" -> "Alphabetic"|>]

只显示数量达到最低阈值 50 的类别：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"MinimumBinCount" -> 50|>]

只显示数量达到最小百分比阈值 22% 的类别：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"MinimumBinFraction" -> .22|>]

用默认排序获取类别，直到达到最小总百分比阈值：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"MinimumTotalFraction" -> .95|>]

按特定顺序选取类别，直到达到最小总百分比阈值：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"CategoryOrdering" -> "Increasing", "MinimumTotalFraction" -> .05|>]

更改条柱实际类别的标签：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Cars per fuel type»], <|"CategoryLabels" -> <|"c" -> "Label 1", "d" -> "Label 2"|>|>]

属于同一数据集且跨类别的数据将采用相同的样式：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotLegends -> Automatic]
Wolfram Language code: CategoricalHistogram[<|"compact" -> IconizedObject[«compact-class cylinders»], "midsize" -> IconizedObject[«midsize-class cylinders»], "Subcompact" -> IconizedObject[«subcompact-class cylinders»]|>]

关联可以嵌套：

Wolfram Language code: data = <|"data one" -> <|"a" -> "dog", "b" -> "fish", "c" -> "fish", "d" -> "fish", "e" -> "cat", "f" -> "fish", "g" -> "cat", "h" -> "cat", "i" -> "fish", "j" -> "fish", "k" -> "fish", "l" -> "fish", "m" -> "fish"|>, "data two" -> <|"a" -> "cat", "b" -> "fish", "c" -> "cat", "d" -> "dog", "e" -> "cat", "f" -> "cat", "g" -> "cat", "h" -> "fish", "i" -> "cat", "j" -> "dog", "k" -> "cat", "l" -> "cat", "m" -> "cat"|>|>;
Wolfram Language code: CategoricalHistogram[data]

请将键作为图例使用：

Wolfram Language code: CategoricalHistogram[data, ChartLegends -> Automatic]

使用不同的布局来显示多个数据集：

Wolfram Language code: Table[CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotLabel -> l, ChartLayout -> l], {l, {"Percentile", "Stacked"}}]

使用 "Overlapped" 布局：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotLabel -> "Overlapped", ChartLayout -> "Overlapped"]

使用单个图块的行列布局来显示多个数据集：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, ChartLayout -> "Column"]

控制条形图的原点：

Wolfram Language code: data = {"Cat", "Dog", "Rabbit", "Cat", "Rabbit", "Bird", "Rabbit", "Dog", "Dog", "Dog"}; Table[CategoricalHistogram[data, BarOrigin -> o, PlotLabel -> o, ImageSize -> Small], {o, {Bottom, Left, Top, Right}}]

表格数据  (1)

获取表格数据，包含汽车制造商、型号和类型的信息：

Wolfram Language code: titanic = ToTabular[ResourceData["Sample Data: Titanic Survival"]]

为乘客等级创建 Histogram：

Wolfram Language code: CategoricalHistogram[titanic -> "Class"]

查看按等级和性别分组的乘客计数：

Wolfram Language code: groupdata = GroupBy[titanic, #Class&, Normal[#[All, "Sex"]]&];
Wolfram Language code: CategoricalHistogram[groupdata, ChartLegends -> Automatic]

使用堆叠条柱显示：

Wolfram Language code: CategoricalHistogram[groupdata, ChartLegends -> Automatic, ChartLayout -> "Stacked"]

封装  (1)

对单个数据集使用封装：

Wolfram Language code: CategoricalHistogram[Style[IconizedObject[«compact-class cylinders»], StandardGreen]]

样式与外观  (5)

为数据的每个类别条柱使用显式样式列表：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Male Palmer Penguins Species»], PlotStyle -> 60]

使用属于同一数据集的显式颜色类型：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«Female Palmer Penguins Species»], IconizedObject[«Male Palmer Penguins Species»]}, PlotStyle -> {Red, Green}]

使用 ColorData 中的任意渐变色或索引色方案：

Wolfram Language code: {CategoricalHistogram[{IconizedObject[«Female Palmer Penguins Species»], IconizedObject[«Male Palmer Penguins Species»]}, PlotStyle -> "Pastel"], CategoricalHistogram[{IconizedObject[«Female Palmer Penguins Species»], IconizedObject[«Male Palmer Penguins Species»]}, PlotStyle -> {"Pastel", None}]}

ChartBaseStyle 可用于为所有图表元素设置初始样式：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«Female Palmer Penguins Species»], IconizedObject[«Male Palmer Penguins Species»]}, ChartBaseStyle -> EdgeForm[Dotted]]

使用任意图形作为图形条柱：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Male Palmer Penguins Species»], ChartElements -> Graphics[{Red, Circle[]}]]

使用内置的程序生成条柱：

Wolfram Language code: ChartElementData["Histogram"]
Wolfram Language code: Table[CategoricalHistogram[IconizedObject[«Male Palmer Penguins Species»], ChartElementFunction -> f], {f, {"GlassRectangle", "GradientScaleRectangle"}}]

使用 Palettes ▶ ChartElementSchemes 进行详细设置：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Male Palmer Penguins Species»], ChartElementFunction -> ChartElementDataFunction["SegmentScaleRectangle", "Segments" -> 7, "ColorScheme" -> "SolarColors"]]

使用单色主题：

Wolfram Language code: CategoricalHistogram[IconizedObject[«Male Palmer Penguins Species»], PlotTheme -> "Monochrome"]

标签与图例  (6)

通过使用 LabelingFunction 为条柱添加数值标签：

Wolfram Language code: CategoricalHistogram[IconizedObject[«compact-class cylinders»], LabelingFunction -> Above]

ChartElements 可覆盖 PlotStyle 的设置：

Wolfram Language code: CategoricalHistogram[IconizedObject[«compact-class cylinders»], ChartElements -> [image], PlotStyle -> {RGBColor[0.93, 0.27, 0.27], RGBColor[0.14, 0.8, 0.14], RGBColor[0.4, 0.6, 1]}]

在自定义函数内用 Placed 控制标签的放置和格式：

Wolfram Language code: labeler[v_, {i_, j_}, {ri_, cj_}] := Placed[{StringJoin[ToString[First@cj], "-cyl"], v}, Above, Column]
Wolfram Language code: CategoricalHistogram[IconizedObject[«compact-class cylinders»], LabelingFunction -> labeler]

为类别添加分类图例条目：

Wolfram Language code: CategoricalHistogram[IconizedObject[«compact-class cylinders»], ChartLegends -> {"Cat1", "Cat2", "Cat3"}, PlotStyle -> "Pastel"]

用基于 Association 的 PlotStyle 表明类别：

Wolfram Language code: CategoricalHistogram[IconizedObject[«compact-class cylinders»], ChartLegends -> {"Cat1", "Cat2", "Cat3"}, PlotStyle -> <|"Categories" -> "Pastel"|>]
Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotStyle -> <|"Categories" -> "Pastel"|>, PlotLegends -> <|"Categories" -> {"Cat1", "Cat2", "Cat3"}|>]

为数据集添加分类图例条目：

Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, ChartLegends -> {"Dataset1", "Dataset2", "Dataset3"}, PlotStyle -> "Pastel"]
Wolfram Language code: CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, PlotStyle -> <|"Lists" -> "Pastel"|>, PlotLegends -> <|"Lists" -> {"Dataset1", "Dataset2", "Dataset3"}|>]

使用 Placed 来影响图例的放置：

Wolfram Language code: Table[CategoricalHistogram[{IconizedObject[«compact-class cylinders»], IconizedObject[«midsize-class cylinders»], IconizedObject[«subcompact-class cylinders»]}, ChartLegends -> Placed[{"ccc1", "ccc2", "ccc3"}, p], PlotStyle -> "Pastel"], {p, {Below, Above}}]

应用  (5)

分析蘑菇在不同栖息地中的分布情况及其部分特性：

Wolfram Language code: table = ToTabular[ResourceData["Sample Data: Mushroom Classification"]]

生成直方图以查看数据集中蘑菇的可食用性：

Wolfram Language code: CategoricalHistogram[table -> "Class"]

用 GroupBy 按栖息地以及是否可食用来拆分数据：

Wolfram Language code: classperhabitat = GroupBy[table, #Class&, Normal[#[All, "Habitat"]]&]; CategoricalHistogram[classperhabitat, BarSpacing -> {Automatic, 3.5}, PlotLegends -> Automatic]

对于类别过多的情况，可使用 LabelingSize 仅显示类别的一部分：

Wolfram Language code: CategoricalHistogram[classperhabitat, BarSpacing -> {Automatic, 4}, PlotLegends -> Automatic, AspectRatio -> 1 / 2, LabelingSize -> 32]

按切工显示钻石的数量：

Wolfram Language code: tabulardata = ResourceData["Sample Tabular Data: Diamonds"];
Wolfram Language code: CategoricalHistogram[tabulardata -> "cut"]

用 GroupBy 和 CategoricalHistogram 按颜色显示不同切工的钻石的数量：

Wolfram Language code: groupdata = GroupBy[tabulardata, #cut&, Normal[#[All, "color"]]&];
Wolfram Language code: CategoricalHistogram[groupdata, ChartLegends -> Automatic]

用 "MinimumBinFraction" 显示数量至少占总数 15% 的类别：

Wolfram Language code: CategoricalHistogram[groupdata, <|"MinimumBinFraction" -> .15|>, ChartLegends -> Automatic]

用 "MaxCount" 来突出显示最大的类别，并用 "RemainderCategory" 将所有其他元素放入一个通用分组中：

Wolfram Language code: CategoricalHistogram[groupdata, <|"MaxCount" -> 2|>, ChartLegends -> Automatic]

添加 "RemainderCategory"，将所有丢弃的元素放入一个通用分组中，同时保留基于 "MaxCount" 选取的原始元素：

Wolfram Language code: CategoricalHistogram[groupdata, <|"MaxCount" -> 2, "RemainderCategory" -> "Others"|>, PlotLegends -> Automatic]

显示帕尔默企鹅数据集中的企鹅数量，按岛屿分组：

Wolfram Language code: tab = ResourceData["Sample Tabular Data: Palmer Penguins"]; data = GroupBy[tab, #sex&, Normal[#[All, "species"]]&];
Wolfram Language code: CategoricalHistogram[data, ChartLegends -> Automatic]

比较接受肾移植患者的性别：

Wolfram Language code: kidneydata = ToTabular[ResourceData["Sample Data: Kidney Transplant"]]; CategoricalHistogram[kidneydata -> "Gender", ChartLegends -> Automatic]

按性别和种族比较接受肾移植患者的数据：

Wolfram Language code: kidneydatabygenderandrace = GroupBy[kidneydata, #Gender&, Normal[#[All, "Race"]]&]; CategoricalHistogram[kidneydatabygenderandrace, ChartLegends -> Automatic]

根据树木普查数据集，分析收集树木数据的用户所属的类别：

Wolfram Language code: NYCTrees = ResourceData["Sample Tabular Data: NYC Trees"];
Wolfram Language code: CategoricalHistogram[NYCTrees -> "user_type", BarSpacing -> 2]

按行政区比较用户类别：

Wolfram Language code: NYCTreesbyusertype = GroupBy[NYCTrees, #"user_type"&, Normal[#[All, "borough"]]&];
Wolfram Language code: CategoricalHistogram[NYCTreesbyusertype, BarSpacing -> {Automatic, 4}, PlotLegends -> Automatic]
Wolfram Research (2026)，CategoricalHistogram，Wolfram 语言函数，https://reference.wolfram.com/language/ref/CategoricalHistogram.html.

文本

Wolfram Research (2026)，CategoricalHistogram，Wolfram 语言函数，https://reference.wolfram.com/language/ref/CategoricalHistogram.html.

CMS

Wolfram 语言. 2026. "CategoricalHistogram." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/CategoricalHistogram.html.

APA

Wolfram 语言. (2026). CategoricalHistogram. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/CategoricalHistogram.html 年

BibTeX

@misc{reference.wolfram_2026_categoricalhistogram, author="Wolfram Research", title="{CategoricalHistogram}", year="2026", howpublished="\url{https://reference.wolfram.com/language/ref/CategoricalHistogram.html}", note=[Accessed: 09-August-2026]}

BibLaTeX

@online{reference.wolfram_2026_categoricalhistogram, organization={Wolfram Research}, title={CategoricalHistogram}, year={2026}, url={https://reference.wolfram.com/language/ref/CategoricalHistogram.html}, note=[Accessed: 09-August-2026]}