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Horarios

Datos con marca de tiempo en formato tabular

Un timetable (horario) es un tipo de tabla que asocia una hora con cada fila. Al igual que una table (tabla), el tipo de dato timetable puede almacenar variables de datos orientadas a columnas que tienen la misma cantidad de filas. Todas las funciones de la tabla funcionan con horarios. Además, los horarios proporcionan funciones específicas de tiempo para alinear, combinar y realizar cálculos con uno o más horarios. Para obtener más información, consulte Create Timetables o vea Gestión de datos tabulares con marca de tiempo con horarios.

Funciones

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Crear horarios y convertir tipo

`timetable`	Timetable array with time-stamped rows and variables of different types
`table2timetable`	Convert table to timetable
`array2timetable`	Convert homogeneous array to timetable
`timetable2table`	Convert timetable to table
`istimetable`	Determine if input is timetable
`summary`	Print summary of table, timetable, or categorical array

Leer y escribir archivos

Importación y exportación básicas

`readtimetable`	Create timetable from file
`writetimetable`	Write timetable to file

Definir reglas de importación

`detectImportOptions`	Create import options based on file content
`spreadsheetImportOptions`	Import options object for Spreadsheets
`getvaropts`	Get variable import options
`setvaropts`	Set variable import options
`setvartype`	Set variable data types
`preview`	Preview eight rows from file using import options

Seleccionar parte del horario

`head`	Get top rows of table, timetable, or tall array
`tail`	Get bottom rows of table, timetable, or tall array
`timerange`	Time range for timetable row subscripting
`withtol`	Time tolerance for timetable row subscripting
`vartype`	Subscript into table or timetable by variable type
`unique`	Valores únicos en array

Ordenar, desplazar y sincronizar

`sortrows`	Sort rows of matrix or table
`retime`	Resample or aggregate data in timetable, and resolve duplicate or irregular times
`synchronize`	Synchronize timetables to common time vector, and resample or aggregate data from input timetables
`lag`	Time-shift data in timetable
`containsrange`	Determine if timetable row times contain specified time range
`overlapsrange`	Determine if timetable row times overlap specified time range
`withinrange`	Determine if timetable row times are within specified time range
`isregular`	Determine if timetable is regular with respect to time or calendar unit

Valores faltantes

`ismissing`	Find missing values
`standardizeMissing`	Insert standard missing values
`rmmissing`	Remove missing entries
`fillmissing`	Fill missing values

Gráfica apilada

stackedplot Stacked plot of several variables with common x-axis

Tareas de Live Editor

Retime Timetable	Resample or aggregate timetable data in the Live Editor
Synchronize Timetables	Retime and combine timetables to new time vector in the Live Editor
Join Tables	Combine two tables using key variables in the Live Editor
Stack Table Variables	Combine values from multiple table variables into one table variable in the Live Editor
Unstack Table Variables	Distribute values from one table variable to multiple table variables in the Live Editor

Temas

Create Timetables

Create timetables to associate times with rows of data. Adjust data in a timetable to a different set of times, and synchronize data in multiple timetables.

Clean Timetable with Missing, Duplicate, or Nonuniform Times

Clean timetables that have missing, duplicate, or irregular times, and produce regular timetables.

Resample and Aggregate Data in Timetable

Resample or aggregate data in a timetable to a new vector of row times.

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.

Información relacionada

Tablas

Represent Dates and Times in MATLAB

Objetos y colecciones de series temporales

Ejemplos destacados

Preprocess and Explore Time-stamped Data Using timetable

Analyze bicycle traffic patterns from sensor data using the timetable data container to organize and preprocess time-stamped data. The data come from sensors on Broadway Street in Cambridge, MA. The City of Cambridge provides public access to the full data set at the Cambridge Open Data site.

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