Is it possible to optimize converting a C# array of serial times (double) to a Matlab array of datetimes?
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Here's an example of what I'm doing:
function outputArg = TimeArray(obj)
timeArray = DotnetClass.GetTimeArray(obj.DotnetArray);
count = timeArray.Length;
outputArg = NaT(1, count);
for i=1:count
netTime = timeArray(i);
matTime = datetime(netTime, "ConvertFrom", "datenum");
outputArg(i) = matTime;
end
end
I'm converting an array of DateTimes in C# to a serial date which comes across as a double. I then need to convert these to a matlab array of datetimes for plotting.
The above implementation is taking about 30 seconds for ~110k datenums. I've used cellfun and it takes about 4 times as long, so I've ruled that out.
Thanks for any help!
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Steven Lord
2019 年 8 月 13 日
datetime can convert an array of serial date numbers at once, and this avoids the overhead of calling datetime repeatedly.
>> D = datenum(datetime('now') + 10*randn(110000, 1));
>> timeit(@() datetime(D, 'ConvertFrom', 'datenum'))
This took a (small) fraction of a second on my machine.
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