years

Duration in years

Syntax

Y = years(X)

Description

Y = years(X) returns an array of years equivalent to the values in X.

• If X is a numeric array, then Y is a duration array in units of fixed-length years. A fixed-length year is equal to 365.2425 days.

• If X is a duration array, then Y is a double array with each element equal to the number of fixed-length years in the corresponding element of X.

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

Leap years have one extra day. To create an array of calendar years that account for leap years when used in calendar calculations, use the calyears function.

Examples

Create Duration Array of Fixed-Length Years

X = [1 3 5; 10 12 15]

X = 2×3

     1     3     5
    10    12    15

Y = years(X)

Y = 2x3 duration
     1 yr    3 yrs    5 yrs
   10 yrs   12 yrs   15 yrs

Convert Durations to Numeric Array of Years

Find the difference between two arrays of dates. The output is a duration array.

t1 = datetime(2007:2010,10,1);
t2 = datetime(2014,05,1);
dt = t2 - t1

dt = 1x4 duration
   57696:00:00   48912:00:00   40152:00:00   31392:00:00

Convert each duration in dt to a number of fixed-length years.

Y = years(dt)

Y = 1×4

    6.5819    5.5799    4.5805    3.5812

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.

This 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