How to find the first date of each month in a datetime array?
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I have a datetime array as below, and I like to find the first date of each month in the array.
d = [ '14-Jan-2018'
'19-Jan-2018'
'22-Jan-2018'
'26-Jan-2018'
'04-Feb-2018'
'25-Feb-2018'
'09-Apr-2018'
'14-Apr-2018'
'20-Apr-2018'
'10-May-2018'
'21-May-2018'
'01-Jun-2018'
'07-Jun-2018'
'11-Jun-2018'
'11-Jul-2018'
'31-Jul-2018'
'05-Sep-2018'
'07-Sep-2018'
'08-Sep-2018'
'28-Sep-2018'
'29-Sep-2018'
'29-Oct-2018'
'07-Nov-2018'
'12-Nov-2018'
'21-Nov-2018'
'21-Nov-2018'
'03-Dec-2018'
'12-Dec-2018'
'03-Jan-2019'
'04-Jan-2019']
d = datetime(d)
The desired output is as below.
['14-Jan-2018'
'04-Feb-2018'
'09-Apr-2018'
'10-May-2018'
'01-Jun-2018'
'11-Jul-2018'
'05-Sep-2018'
'29-Oct-2018'
'07-Nov-2018'
'03-Dec-2018'
'03-Jan-2019'
]
At first, it seems easy, but only few moments later I realized that it is a way harder and it takes me days on this problem without progress.
Please hlep with this, and thank you so much in advance for any help.
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Accepted Answer
dpb
on 27 Aug 2021
Edited: dpb
on 27 Aug 2021
firstDate=groupsummary(d,findgroups(year(d),month(d)),@min);
gives
>> firstDate
firstDate =
11×1 datetime array
14-Jan-2018
04-Feb-2018
09-Apr-2018
10-May-2018
01-Jun-2018
11-Jul-2018
05-Sep-2018
29-Oct-2018
07-Nov-2018
03-Dec-2018
03-Jan-2019
>>
3 Comments
dpb
on 29 Aug 2021
Indeed. It often takes some time to realize the right way to go at some operations in MATLAB. The use of grouping variables here is the key instead of trying to compute differences individually from component pieces which I gather is probably what you had tried...
More Answers (1)
Campion Loong
on 30 Aug 2021
Alternatively...
% dateshift all dates to beginning of the month, and find the indices of the first unique entry
[~,idx_first_month_date] = unique(dateshift(d,'start','month'));
% use the indices on your original datetime array
d(idx_first_month_date)
This yields the same result on your input:
ans =
11×1 datetime array
['14-Jan-2018'
'04-Feb-2018'
'09-Apr-2018'
'10-May-2018'
'01-Jun-2018'
'11-Jul-2018'
'05-Sep-2018'
'29-Oct-2018'
'07-Nov-2018'
'03-Dec-2018'
'03-Jan-2019'
]
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