The format is completely irrelevant. What matters is the date and time. If you want to ignore the time-of-day then use DATESHIFT before calling ISMEMBER.
A (simple) way to use ismember between datetime arrays with different formats
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In the following example, I want to find the dates that are present both in A and in B, regardless the time (i.e. hours, minutes, seconds):
% Input
A = datetime(...
['19-Jun-2023',
'20-Jun-2023',
'21-Jun-2023',
'22-Jun-2023',
'23-Jun-2023',
'24-Jun-2023',
'25-Jun-2023']);
tmp = [{'23-Jun-2023 19:00:00'}
{'24-Jun-2023 16:00:00'}
{'24-Jun-2023 11:00:00'}
{'19-Jun-2023 16:00:00'}
{'20-Jun-2023 10:00:00'}
{'21-Jun-2023 10:00:00'}
{'22-Jun-2023 09:00:00'}
{'23-Jun-2023 14:00:00'}
{'19-Jun-2023 17:00:00'}
{'20-Jun-2023 11:00:00'}
{'21-Jun-2023 17:00:00'}
{'22-Jun-2023 15:00:00'}
{'23-Jun-2023 06:00:00'}
{'24-Jun-2023 11:00:00'}
{'25-Jun-2023 19:00:00'}
{'20-Jun-2023 11:00:00'}
{'21-Jun-2023 09:00:00'}
{'23-Jun-2023 12:00:00'}
{'25-Jun-2023 17:00:00'}
{'23-Jun-2023 12:00:00'}
{'22-Jun-2023 07:00:00'}];
B = datetime(tmp, 'InputFormat', 'dd-MMM-yyyy HH:mm:ss');
ismember(A,B)
2 Kommentare
Akzeptierte Antwort
Benjamin Kraus
am 21 Jun. 2024
A = datetime(...
['19-Jun-2023',
'20-Jun-2023',
'21-Jun-2023',
'22-Jun-2023',
'23-Jun-2023',
'24-Jun-2023',
'25-Jun-2023']);
tmp = [{'23-Jun-2023 19:00:00'}
{'24-Jun-2023 16:00:00'}
{'24-Jun-2023 11:00:00'}
{'19-Jun-2023 16:00:00'}
{'20-Jun-2023 10:00:00'}
{'21-Jun-2023 10:00:00'}
{'22-Jun-2023 09:00:00'}
{'23-Jun-2023 14:00:00'}
{'19-Jun-2023 17:00:00'}
{'20-Jun-2023 11:00:00'}
{'21-Jun-2023 17:00:00'}
{'22-Jun-2023 15:00:00'}
{'23-Jun-2023 06:00:00'}
{'24-Jun-2023 11:00:00'}
{'25-Jun-2023 19:00:00'}
{'20-Jun-2023 11:00:00'}
{'21-Jun-2023 09:00:00'}
{'23-Jun-2023 12:00:00'}
{'25-Jun-2023 17:00:00'}
{'23-Jun-2023 12:00:00'}
{'22-Jun-2023 07:00:00'}];
B = datetime(tmp, 'InputFormat', 'dd-MMM-yyyy HH:mm:ss');
ismember(A,dateshift(B,'start','day'))
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