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Wolfram Language & System Documentation Center
Tabular
  • See Also
    • ToTabular
    • FromTabular
    • TabularQ
    • TabularColumn
    • TabularRow
    • TabularStructure
    • TabularSchema
    • RenameColumns
    • InsertColumns
    • DeleteColumns
    • TransformColumns
    • ConstructColumns
    • AggregateRows
    • PivotToColumns
    • PivotFromColumns

    • Formats
    • CSV
    • Parquet
    • ArrowIPC
  • Related Guides
    • Tabular Processing Overview
    • Computation with Structured Datasets
    • Tabular & Spreadsheet Formats
    • Working with Information in Relational Databases
    • Tabular Objects
    • Scientific Data Analysis
    • Tabular Transformation
    • Tabular Data Sources
    • Tabular Visualization
    • See Also
      • ToTabular
      • FromTabular
      • TabularQ
      • TabularColumn
      • TabularRow
      • TabularStructure
      • TabularSchema
      • RenameColumns
      • InsertColumns
      • DeleteColumns
      • TransformColumns
      • ConstructColumns
      • AggregateRows
      • PivotToColumns
      • PivotFromColumns

      • Formats
      • CSV
      • Parquet
      • ArrowIPC
    • Related Guides
      • Tabular Processing Overview
      • Computation with Structured Datasets
      • Tabular & Spreadsheet Formats
      • Working with Information in Relational Databases
      • Tabular Objects
      • Scientific Data Analysis
      • Tabular Transformation
      • Tabular Data Sources
      • Tabular Visualization

Tabular[data]

creates a tabular object from rectangular data representing a list of rows.

Tabular[data,{key1,key2,…}]

sets keyi as the name of column i of the tabular object.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Creating Tabular Objects  
Extracting Data  
Cleaning Data  
Transforming Data  
Options  
Alignment  
Background  
BaselinePosition  
Show More Show More
ImageSize  
ItemDisplayFunction  
ItemSize  
ItemStyle  
Scrollbars  
ScrollPosition  
Applications  
Properties & Relations  
Possible Issues  
See Also
Related Guides
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • ToTabular
    • FromTabular
    • TabularQ
    • TabularColumn
    • TabularRow
    • TabularStructure
    • TabularSchema
    • RenameColumns
    • InsertColumns
    • DeleteColumns
    • TransformColumns
    • ConstructColumns
    • AggregateRows
    • PivotToColumns
    • PivotFromColumns

    • Formats
    • CSV
    • Parquet
    • ArrowIPC
  • Related Guides
    • Tabular Processing Overview
    • Computation with Structured Datasets
    • Tabular & Spreadsheet Formats
    • Working with Information in Relational Databases
    • Tabular Objects
    • Scientific Data Analysis
    • Tabular Transformation
    • Tabular Data Sources
    • Tabular Visualization
    • See Also
      • ToTabular
      • FromTabular
      • TabularQ
      • TabularColumn
      • TabularRow
      • TabularStructure
      • TabularSchema
      • RenameColumns
      • InsertColumns
      • DeleteColumns
      • TransformColumns
      • ConstructColumns
      • AggregateRows
      • PivotToColumns
      • PivotFromColumns

      • Formats
      • CSV
      • Parquet
      • ArrowIPC
    • Related Guides
      • Tabular Processing Overview
      • Computation with Structured Datasets
      • Tabular & Spreadsheet Formats
      • Working with Information in Relational Databases
      • Tabular Objects
      • Scientific Data Analysis
      • Tabular Transformation
      • Tabular Data Sources
      • Tabular Visualization

Tabular

Tabular[data]

creates a tabular object from rectangular data representing a list of rows.

Tabular[data,{key1,key2,…}]

sets keyi as the name of column i of the tabular object.

Details and Options

  • Tabular is also known as data frame, table and structured data.
  • Tabular is typically used for data where each column can be thought of as a variable and each row as a measurement. Typically, only a window of data is displayed.
  • Each column has an element type, such as number, string, date or expression. Data entries can be missing.
  • Possible forms of data include:
  • {row1,row2,…}matrix as a list of rows »
    {assoc1,assoc2,…}list of associations with common keys »
    SparseArray[…],QuantityArray[…],…special matrix representations »
    Dataset[…]rectangular dataset »
  • Use ToTabular to convert more types of expressions to Tabular as well as have detailed control over how the conversion is done.
  • Tabular[data,schm] sets or modifies the schema of the tabular data, where schm is given as a TabularSchema object or an association <|"prop1"val1,…|>.
  • SQL-backed tabular objects can be created using the following forms for spec in Tabular[spec]:
  • RelationalDatabase[…]relational database object containing a single table
    RelationalDatabase[…]"table"select a table from a relational database
    <|"RelationalDatabase"RelationalDatabase[…],"Query""table"|>extended specification of a table from a database
  • Tabular can recognize and operate with missing or exceptional values, such as Missing[], Null, Infinity, etc.
  • The data elements can be extracted using Part, Select, etc.
  • Tabular can be converted to other forms using FromTabular or Normal.
  • Tabular works with transformation functions such as TransformColumns and AggregateRows.
  • Tabular[tabular,options] applies the given options to a Tabular object.
  • The following options control the overall appearance of Tabular:
  • AllowedDimensionsAutomaticrestrictions on the number of rows or columns
    AppearanceElementsAutomaticelements to include in the displayed view
    BaselinePosition Automaticwhat to align with a surrounding text baseline
    BaseStyle{}base style specifications for the tabular
    ImageMarginsAutomaticmargins around the displayed tabular
    ImageSize Automaticthe overall size of the table view
    Scrollbars {Automatic,Automatic}whether to include scrollbars
    ScrollPosition Automaticscroll position if scrolling is enabled
  • Possible elements in AppearanceElements include "RowHeaders", "CollapsedRowHeaders", "ColumnHeaders", "CollapsedColumnHeaders", "Frame" and "ResizeArea".
  • Tabular takes the following options that determine the appearance of the tabular content:
  • AlignmentAutomatichorizontal and vertical alignment of items
    BackgroundNonewhat background colors to use
    DividersAutomaticwhether to include dividers between cells
    HeaderAlignmentAutomatichorizontal and vertical alignments of headers
    HeaderBackgroundAutomaticbackground colors to use for headers
    HeaderSizeAutomaticwidth and height of headers
    HeaderStyleAutomaticstyles to use for headers
    ItemDisplayFunctionNonefunction to use to format items
    ItemSizeAutomaticwidth and height of each item
    ItemStyle{}styles for columns and rows
  • The content options take the form opt<|"elem"spec,…|>, where "elem" specifies which elements the spec is affecting.
  • Possible elements are:
  • "Columns"{s1,s2,…}style columns by position
    "Rows"{s1,s2,…}style rows by position
    "ColumnRules"{col1s1,…}style columns by keys
    "RowRules"{row1s1,…}style rows by index
    "ItemRules"{{row1,col1}s1,…}style items by row and column
    "ColumnValueFunction"cfstyle columns by values
    "RowValueFunction"rfstyle rows by values
    "ItemValueFunction"ifstyle items by value
  • "Columns" and "Rows" take the following forms:
  • {s1,s2,…,sn}use s1 through sn, then use defaults
    suse s in all cases
    Cyclic[{c1,c2,…}]cycle through all ci
    {s1,s2,…,Cyclic[{c1,c2,…}],sm,…,sn}use the first sequence of si at the beginning, then cyclically use the ci, then use the last sequence of si at the end
    {s1,s2,…,Cyclic[{}],sm,…,sn}use the first sequence of si at the beginning and the last sequence at the end
  • The columns coli can be a column key "key" or the numerical index i of the column.
  • The row rowi can be the numerical index i of the row, or RowKey[{…}] if Tabular contains key columns.
  • "RowValueFunction"f applies the function f to each row of data, and it should either return a setting to use for the entire row or a list of keyval results indicating what settings to use per column.
  • "ItemValueFunction" takes the following forms:
  • itfnuse itfn to generate the setting for every item
    {col1itfn1,…}}use itfni to generate the setting for items in column coli
  • The arguments supplied to item value functions are the value val of the item, the position {row,col} in the tabular and the entire tabular object tab.
  • "RowValueFunction" takes the following forms:
  • rwfnuse rwfn to generate the setting for every item
    {col1rwfni,…}}use rwfn to generate the setting for items in column coli
  • The arguments supplied to row value functions are the association of row elements assoc, the row position row in the tabular and the entire tabular object tab.

Examples

open all close all

Basic Examples  (5)

Create a Tabular object from a matrix:

Create a Tabular object from a matrix, specifying the column keys:

Create a Tabular object from a list of associations with common keys:

Create a Tabular object from a list of columns:

Create a Tabular object from a Dataset:

Scope  (28)

Creating Tabular Objects  (12)

Construct a Tabular object from a list of rows:

Construct a Tabular object from a matrix, specifying column names:

Construct a Tabular object from a list of associations:

Create a Tabular object from a list of associations with ExtendedKey:

Create a Tabular object from a QuantityArray:

Tabular object from column-oriented list data requires Transpose:

Use ToTabular instead:

Convert a Dataset into a Tabular object:

Converting to Tabular will flatten the dataset structure:

Use Import of "CSV" to automatically get a Tabular object:

Import a "TSV" file:

Construct a Tabular object of numbers, specifying the type of the elements of each column:

Check the types stored:

Mix columns of different types:

Check the types stored:

Take a collection of sizes:

Tabular stores them by default as strings:

Convert to "CategoricalOrdered" type, internally storing a single copy of each size value:

Show a Tabular object whose rows correspond to entities and whose columns are entity properties:

Extracting Data  (9)

Extract a single element:

Extract a single element Tabular object:

Extract a row:

Extract a column:

Extract a column using a column key:

Extract a row of a Tabular object with a key column:

Extract a row of a Tabular object with several key columns:

Extract multiple columns from a Tabular object:

Extract two columns and reverse their order:

Extract multiple columns by column keys:

Use conditions to select rows:

Extract all the rows with "SepalLength" greater than or equal to 6:

Use column type to select columns:

Select columns of numeric type:

Cleaning Data  (4)

Take a Tabular object of country data:

Sort by decreasing values of population:

Find the country with the smallest area:

Remove a column:

Insert a column:

Rename a column:

Transforming Data  (3)

Construct a new column:

Keep the last column with the new one:

Transform an existing column:

Population and area of European countries:

Compute population density:

Options  (46)

Alignment  (10)

Specify alignments for every column:

If there are more columns than alignments, the later columns use default alignment:

Cycle between left and right column alignments:

Start and end with center-aligned columns and cycle between left and right in between:

Start and end with left-aligned columns and use the default alignment in between:

Left-align the column "b":

Specify the alignment of an item using its {row,col} position:

Left-align rows if the value in column "b" is more than 10 and right-align otherwise:

Use None to use the default alignment:

Left-align items if the value is even and center-align them otherwise:

Use None to use the default alignment:

Align the "b" column based on its value:

Background  (13)

Use a single style as the background for all the items:

Specify backgrounds for every column:

Specify backgrounds for every row:

If there are more columns than styles, the later columns use default styling:

If there are more rows than styles, the later rows use default styling:

Cycle between blue and green column backgrounds:

Cycle between blue and green row backgrounds:

Start and end with blue and red column backgrounds, and cycle between orange and green in between:

Start and end with blue and red row backgrounds, and cycle between orange and green in between:

Start and end with blue and red column backgrounds, and use the default styling in between:

Start and end with blue and red row backgrounds, and use the default styling in between:

Use a blue background for the column "b":

Use a blue background for the second row:

Use RowKey[{…}] to style a row:

Specify the background style of an item using its {row,col} position:

Color row backgrounds red if the value in column "b" is more than 10, and blue otherwise:

Use None to use the default background style:

Color the second row based on the "b" column's value:

Color item backgrounds red if the value is even, and blue otherwise:

Use None to use the default background style:

Color the "b" column based on its value:

BaselinePosition  (1)

Align the center of the tabular with the baseline of surrounding text:

Align the bottom of the tabular with the baseline:

ImageSize  (5)

By default, the width is limited by the notebook size, and a limited number of rows are shown:

Use a named size to show less of the Tabular object:

Limit the width of a Tabular object:

Limit the width and height of a Tabular object:

Limit the overall height of a Tabular object:

ItemDisplayFunction  (1)

ItemSize  (1)

Increase the height of items with ItemSize:

Specify the width and height of items:

Use Cyclic to assign a repeating item size from the second column to the last:

ItemStyle  (13)

Use a single style as the style for all the items:

Use Directive to combine styles into a single style:

Specify styles for every column:

Specify styles for every row:

If there are more columns than styles, the later columns use default styling:

If there are more rows than styles, the later rows use default styling:

Cycle between blue and green column styles:

Cycle between blue and green row styles:

Start and end with blue and red column styles, and cycle between orange and green in between:

Start and end with blue and red row styles, and cycle between orange and green in between:

Start and end with blue and red column styles, and use the default styling in between:

Start and end with blue and red row styles, and use the default styling in between:

Use a blue style for the column "b":

Use a blue style for the second row:

Use RowKey[{…}] to style a row:

Specify the styles style of an item using its {row,col} position:

Color row styles red if the value in column "b" is more than 10, and blue otherwise:

Use None to use the default style:

Color the second column based on the "b" column's value:

Color items red if the value is even, and blue otherwise:

Use None to use the default style:

Color the "b" column based on its value:

Scrollbars  (1)

Scrollbars are shown when the tabular is larger than the displaying size:

Hide the column scrollbar:

Use no scrollbars:

ScrollPosition  (1)

By default, the scrollbars are positioned to display the top-left corner of the content:

Specify a custom initial position of the scrollbars measured in points:

ScrollPosition can be Dynamic objects:

Applications  (2)

Use a Tabular object to display column data with separate column headings:

Use the array data and "ColumnHeadings" property to create a Tabular object:

Plot petal length as a function of sepal length:

Find correlation coefficient:

Compute mean values of flower measurements depending on the species type:

Information about "DuneBooks" in Tabular form:

Properties & Relations  (3)

Use TabularQ to test if a Tabular object is valid:

The columns of a Tabular object are given as TabularColumn objects:

First column:

Second column:

The rows of a Tabular object are given as TabularRow objects:

First row:

Second row:

Possible Issues  (3)

Tabular input data must be at least two dimensional:

Create a single row:

Create a single column:

Raggedness in the second level is not accepted:

Arrays must be rectangular in the first two levels:

Alternatively, use padding:

A Tabular object cannot have repeated column keys, which makes Part eliminate duplicates:

Map the Part extraction to generate duplicate columns:

Create a Tabular object without column keys or with different column keys:

See Also

ToTabular  FromTabular  TabularQ  TabularColumn  TabularRow  TabularStructure  TabularSchema  RenameColumns  InsertColumns  DeleteColumns  TransformColumns  ConstructColumns  AggregateRows  PivotToColumns  PivotFromColumns

Formats: CSV  Parquet  ArrowIPC

Related Guides

    ▪
  • Tabular Processing Overview
  • ▪
  • Computation with Structured Datasets
  • ▪
  • Tabular & Spreadsheet Formats
  • ▪
  • Working with Information in Relational Databases
  • ▪
  • Tabular Objects
  • ▪
  • Scientific Data Analysis
  • ▪
  • Tabular Transformation
  • ▪
  • Tabular Data Sources
  • ▪
  • Tabular Visualization

History

Introduced in 2025 (14.2) | Updated in 2025 (14.3)

Wolfram Research (2025), Tabular, Wolfram Language function, https://reference.wolfram.com/language/ref/Tabular.html (updated 2025).

Text

Wolfram Research (2025), Tabular, Wolfram Language function, https://reference.wolfram.com/language/ref/Tabular.html (updated 2025).

CMS

Wolfram Language. 2025. "Tabular." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2025. https://reference.wolfram.com/language/ref/Tabular.html.

APA

Wolfram Language. (2025). Tabular. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/Tabular.html

BibTeX

@misc{reference.wolfram_2025_tabular, author="Wolfram Research", title="{Tabular}", year="2025", howpublished="\url{https://reference.wolfram.com/language/ref/Tabular.html}", note=[Accessed: 01-March-2026]}

BibLaTeX

@online{reference.wolfram_2025_tabular, organization={Wolfram Research}, title={Tabular}, year={2025}, url={https://reference.wolfram.com/language/ref/Tabular.html}, note=[Accessed: 01-March-2026]}

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