Tabellen - MATLAB & Simulink - MathWorks Deutschland (2024)

Arrays in Tabellenform, deren benannte Spalten unterschiedliche Typen aufweisen können

table ist ein Datentyp, der für spaltenorientierte oder tabellarische Daten geeignet ist. Diese werden oft als Spalten in einer Textdatei oder Kalkulationstabelle gespeichert. Die Tabellen bestehen aus Zeilen und spaltenorientierten Variablen. Jede Variable in einer Tabelle kann einen unterschiedlichen Datentyp und eine andere Größe aufweisen, wobei eine Einschränkung zu beachten ist: Jede Variable muss dieselbe Zeilenanzahl besitzen. Weitere Informationen finden Sie unter Create Tables and Assign Data to Them oder sehen Sie sich Tabellen und Kategorie-Arrays an.

Funktionen

alle erweitern

tableTable array with named variables that can contain different types
array2tableConvert hom*ogeneous array to table
cell2tableConvert cell array to table
struct2tableConvert structure array to table
table2arrayConvert table to hom*ogeneous array
table2cellConvert table to cell array
table2structConvert table to structure array
table2timetableConvert table to timetable
timetable2tableConvert timetable to table
vartypeSubscript into table or timetable by variable type
convertvarsConvert table or timetable variables to specified data type

Basisfunktionen für Import und Export

readtableCreate table from file
writetableWrite table to file

Definieren von Importregeln

detectImportOptionsCreate import options based on file content
spreadsheetImportOptionsImport options object for Spreadsheets
getvaroptsGet variable import options
setvaroptsSet variable import options
setvartypeSet variable data types
previewPreview eight rows from file using import options

Parquet-Dateien

parquetreadRead columnar data from a Parquet file
parquetwriteWrite columnar data to Parquet file
parquetinfoGet information about Parquet file
summaryPrint summary of table, timetable, or categorical array
heightNumber of table rows
widthNumber of table variables
istableDetermine if input is table
istabularDetermine if input is table or timetable (Seit R2021b)
headGet top rows of array or table
tailGet bottom rows of array or table
stackedplotStacked plot of several variables with common x-axis

Sortieren

sortrowsSort rows of matrix or table
uniqueUnique values in array
issortedrowsDetermine if matrix or table rows are sorted
topkrowsTop rows in sorted order

Filtern von Zeilen und Variablen

rowfilterSelectively import rows of interest (Seit R2022a)
vartypeSubscript into table or timetable by variable type

Umsortieren von Variablen

addvarsAdd variables to table or timetable
renamevarsRename variables in table or timetable (Seit R2020a)
movevarsMove variables in table or timetable
removevarsDelete variables from table or timetable
splitvarsSplit multicolumn variables in table or timetable
mergevarsCombine table or timetable variables into multicolumn variable
convertvarsConvert table or timetable variables to specified data type

Umformen

rows2varsReorient table or timetable so that rows become variables
stackStack data from input table or timetable into one variable in output table or timetable
unstackUnstack data from one variable into multiple variables
inner2outerInvert nested table-in-table hierarchy in tables or timetables

Benutzerdefinierte Eigenschaften

addpropAdd custom properties to table or timetable
rmpropRemove custom properties from table or timetable

Verbinden mithilfe von Schlüsselvariablen

joinCombine two tables or timetables by rows using key variables
innerjoinInner join between two tables or timetables
outerjoinOuter join between two tables or timetables

Mengen-Operationen

unionSet union of two arrays
intersectSet intersection of two arrays
ismemberArray elements that are members of set array
setdiffSet difference of two arrays
setxorSet exclusive OR of two arrays
anymissingDetermine if any array element is missing (Seit R2022a)
ismissingFind missing values
standardizeMissingInsert standard missing values
rmmissingRemove missing entries
fillmissingFill missing entries
pivotSummarize tabular data in pivoted table (Seit R2023a)
groupcountsNumber of group elements
groupfilterFilter by group (Seit R2019b)
groupsummaryGroup summary computations
grouptransformTransform by group
findgroupsFind groups and return group numbers
splitapplySplit data into groups and apply function
rowfunApply function to table or timetable rows
varfunApply function to table or timetable variables
vartypeSubscript into table or timetable by variable type
convertvarsConvert table or timetable variables to specified data type

Apps

Data CleanerPreprocess and organize column-oriented data (Seit R2022a)

Live Editor Tasks

Berechnen nach GruppeSummarize, transform, or filter by group in the Live Editor (Seit R2021b)
Pivot-TabelleSummarize tabular data in pivoted table in the Live Editor (Seit R2023b)
Zusammenführen von TabellenCombine two tables using key variables in the Live Editor (Seit R2019b)
Stapeln von TabellenvariablenCombine values from multiple table variables into one table variable in the Live Editor (Seit R2020a)
Entstapeln von TabellenvariablenDistribute values from one table variable to multiple table variables in the Live Editor (Seit R2020a)

Themen

  • Create Tables and Assign Data to Them

    There are several ways to create tables and assign data to them. You can create tables from input arrays, preallocate tables and fill them in later, or import tables from text files or spreadsheets.

  • Control How MATLAB Imports Your Data

    If you want to control the import process beyond the options provided by the readtable function, such as defining how to handle missing data or errors, then create an import options object before importing the data.

  • Access Data in Tables

    Indexing into tables with parentheses, dot notation, and curly braces accesses table data in different ways. You can use indexing to create a table that is a subset of a larger table or to create an array from data in a table.

    • Rename and Describe Table Variables
    • Add, Delete, and Rearrange Table Variables
    • Add and Delete Table Rows
    • Clean Messy and Missing Data in Tables
    • Using Row Labels in Table and Timetable Operations
    • Convert Text in Table Variables to Categorical
    • Add Custom Properties to Tables and Timetables
  • Direct Calculations on Tables and Timetables

    You can perform calculations directly on tables and timetables without indexing to extract their data. All the variables in your tables and timetables must have data types that support calculations.

    • Calculations When Tables Have Both Numeric and Nonnumeric Data
    • Summarize or Pivot Data in Tables Using Groups
    • Perform Calculations by Group in Table
    • Rules for Table and Timetable Mathematics
  • Plots That Support Tables

    Create plots by passing tables directly to plotting functions.

  • Tables of Mixed Data

    Use tables to store mixed-type data conveniently, access data with numeric or named indexing, and to store metadata.

  • Changes to DimensionNames Property in R2016b

    Tables can raise compatibility warnings, and changedimension names, when you modify the DimensionNames property.

Enthaltene Beispiele

Data Cleaning and Calculations in TablesClean data stored in a table or timetable. Perform computations by using the numeric and categorical data that the table contains.

Live Script öffnen

Grouped Calculations in Tables and TimetablesPerform in-place calculations on groups of data in tables and timetables.

Live Script öffnen

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Tabellen- MATLAB & Simulink- MathWorks Deutschland (3)

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