missing - Create missing values - MATLAB (original) (raw)

Main Content

Syntax

Description

m = missing returns a missing value displayed as <missing>. You can set an element of an array or table to missing to represent missing data. The value of missing is then automatically converted to the standard missing value native to the data type of the array or table variable. For example, core data types that support missing and their corresponding standard missing values after assignment are as follows:

double, single, duration, and calendarDuration convert missing to NaN
datetime converts missing to NaT
categorical converts missing to <undefined>
string converts missing to <missing>

example

Examples

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Missing Data in Timetable

Create a timetable containing weather data, and replace the last row with missing values. Each missing value is automatically replaced with the standard missing value for the relevant data type.

Time = datetime({'2015-12-18 08:03:05';'2015-12-18 10:03:17';'2015-12-18 12:03:13'}); Temp = [37.3;39.1;42.3]; WindDirection = categorical({'NW';'N';'NW'}); TT = timetable(Time,Temp,WindDirection)

TT=3×2 timetable Time Temp WindDirection ____________________ ____ _____________

18-Dec-2015 08:03:05    37.3         NW      
18-Dec-2015 10:03:17    39.1         N       
18-Dec-2015 12:03:13    42.3         NW

TT.Time(3) = missing; TT.Temp(3) = missing; TT.WindDirection(3) = missing;

TT=3×2 timetable Time Temp WindDirection ____________________ ____ _____________

18-Dec-2015 08:03:05    37.3     NW          
18-Dec-2015 10:03:17    39.1     N           
NaT                      NaN     <undefined>

Extended Capabilities

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced in R2017a