seconds

Duration in seconds

Syntax

S = seconds(X)

Description

S = seconds(X) returns an array of seconds equivalent to the values in X.

• If X is a numeric array, then S is a duration array in units of seconds.

• If X is a duration array, then S is a double array with each element equal to the number of seconds in the corresponding element of X.

The seconds function converts between duration and double values. To display a duration in units of seconds, set its Format property to 's'.

Examples

Create Duration Array of Seconds

X =  magic(4);
S = seconds(X)

S = 4×4 duration
   16 sec    2 sec    3 sec   13 sec
    5 sec   11 sec   10 sec    8 sec
    9 sec    7 sec    6 sec   12 sec
    4 sec   14 sec   15 sec    1 sec

Convert Durations to Numeric Array of Seconds

Create a duration array.

X = hours(1) + minutes(1:4)

X = 1×4 duration
   1.0167 hr   1.0333 hr     1.05 hr   1.0667 hr

Convert each duration in X to a number of seconds.

S = seconds(X)

S = 1×4

        3660        3720        3780        3840

S is a double array.

Find the natural logarithm of S. The log function accepts inputs of type double.

Y = log(S)

Y = 1×4

    8.2052    8.2215    8.2375    8.2532

Input Arguments

X — Input array

numeric array | duration array | logical array

Input array, specified as a numeric array, duration array, or logical array.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

The seconds function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

This function fully supports code generation. For more information, see Code Generation for Duration Arrays (MATLAB Coder).

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.

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced in R2014b