How can I format numeric arrays that are too long
9 views (last 30 days)
Show older comments
Hi,
I am using UNIX timestamps in 2 different datasets in Matlab 2019.
eog_time=[1.556122932190000e+12
1.556123223410000e+12
1.556124030209000e+12]; %shortened sample array
flanker_time= 1.556123166337000e+09;
I want to find the closest time in eog_time to the flanker_time. However the format doesn't let me.
target=dsearchn(flanker_time, eog_time)
gives me the first value in my eog_time array.
If I delete the e+09 and e+12 parts from my arrays I will still have the necessary info and I can compare these two arrays. I tried format
format long
and
format longG
but it only works in 1 numeric value, not for the array. Any ideas how can I shorten my numbers so dsearchn would work? Or even a better way to reach the target value?
thank you.
3 Comments
Jan
on 23 May 2019
I guess the different magnitude are the result of useing different function for reading the values, and at least one of these methods is flawed. The clean solution would be to get the correct time stamps directly.
Accepted Answer
Jan
on 23 May 2019
Edited: Jan
on 23 May 2019
The format command affects only the display in the command window. This does not change the data or the method for the comparison in any way.
"the format doesn't let me" is not clear. It is not a question of the "length" or the format, but the vector contains values, which are 1000 times larger than the searched value.
"If I delete the e+09 and e+12 parts from my arrays": This means to divide one array by 1e9 and the other by 1e12.
eog_time=[1.556122932190000e+12
1.556123223410000e+12
1.556124030209000e+12];
flanker_time = 1.556123166337000e+09;
list = eog_time / 1e12;
search = flanker_time / 1e9;
[~, index] = min(abs(list - search))
Or cheaper:
list = eog_time / 1e3;
search = flanker_time;
[~, index] = min(abs(list - search))
By the way, dsearchn is an overkill. min(abs(a-b)) is much cheaper.
More Answers (0)
See Also
Categories
Find more on Characters and Strings in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!