merging column elements into one

I have a matrix of 4 columns containing year in 1st column, month in 2nd, day in 3rd, and time in 4th. Is there a way to combine them into 1 column to get 'dd-mmm-yyyy HH:MM:SS' ?
Thanks

2 Comments

What is the datatype of your matrix? If it is a cell, then what is the format of each of the columns at present?
MF
MF on 28 Mar 2016
Edited: MF on 28 Mar 2016
double. For example:
year month day hour
2015 2 1 1

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Answers (4)

Look at this example
v={'2016' '03' '02' '12:10:00';'2016' '03' '02' '13:20:00'}
out=arrayfun(@(x) [v{x,1} '-' v{x,2} '-' v{x,3} ' ' v{x,4}] , (1:size(v,1))','un',0)

1 Comment

v=[2015 2 1 1;2016 2 10 2]
w=[v zeros(size(v,1),2)]
out=datestr(w,'yyyy-mm-dd HH:MM:SS')

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v={'2016' '03' '02' '12:10:00';'2016' '03' '02' '13:20:00'}
strcat(v(:,1),{'-'},v(:,2),{'-'},v(:,3), {' '}, v(:,4))
but only if v happens to be in the correct format already, which is something we do not know yet as you have not replied about what the format of your array is.
Stephen23
Stephen23 on 28 Mar 2016
Edited: Stephen23 on 28 Mar 2016
Use datstr and cellstr:
>> M = [2016,03,28,12;2015,2,1,1]
M =
2016 3 28 12
2015 2 1 1
>> M(:,6) = 0;
>> C = cellstr(datestr(M,'dd-mmm-yyyy HH:MM:SS'));
>> C{:}
ans = 28-Mar-2016 12:00:00
ans = 01-Feb-2015 01:00:00
You can read the documentation and pick the date format that suits your needs best.
You can easily compress seconds, minutes, hours, days of the month, months, and years into one double precision floating point number. It has more than enough capacity. Let T be a vector with six elements: [year number, month number, day of month number, hour, minutes, seconds]. To convert to a single 'double':
d = T(6)+64*(T(5)+64*(T(4)+64*(T(3)+64*(T(2)+64*T(1)))));
(There is room here to go up past the year 8000000.) To convert back to T vector:
function T = dec2base64(d)
T = zeros(1,6);
for k = 6:-1:2
q = floor(d/64);
T(k) = d - 64*q;
d = q;
end
T(1) = d;
return

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Asked:

MF
on 28 Mar 2016

Answered:

on 28 Mar 2016

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