Histogram using Date Stamps

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I have three years of dates and I want to know how to make a histogram only taking months into consideration.
The data is in datestam format, so when I plot a histogram is separates the months for each year.
How do I do this?
Thanks!
  3 个评论
Sophia Salazar
Sophia Salazar 2019-7-26
Sorry about the unclear question! My data is in date stamps (like this: 2012-01-21) , in datetime format.
I have three years, so when I plot a histogram as is, it produces 36 bars, one for each month in each year.
What I want is 12 bars, so for example, the January bar should include all January values for all three years.
Does this clear up my question?
Thanks for the quick response!
Adam Danz
Adam Danz 2019-7-26
That's clearer! If you get stuck with the recommendation in my answer, leave a comment and I can try to help further.

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采纳的回答

Guillaume
Guillaume 2019-7-26
Oh, if it's the histogram of the dates you want, then groupsummary may not be the best tool (sorry Adam!)
histogram(yourdatetimevector.Month, 'BinMethod', 'integers')
  2 个评论
Adam Danz
Adam Danz 2019-7-26
Just saw this after my ans update, no prob at all!
Sophia Salazar
Sophia Salazar 2019-7-26
This worked beautifully! Thanks to both of you guys!

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更多回答(1 个)

Adam Danz
Adam Danz 2019-7-26
编辑:Adam Danz 2019-7-26
If your data are organized in a table or array, use groupsummary() (requires r2018a). The groupbin should be 'monthname'(see Guillaume's comment below). Then feed that summary data into historgram().
[update]
If you're just counting the number of months in a datetime vector, you can use month() along with histcounts().
% dt is your datetime vector
c = histcounts(month(dt),1:13);
mo = {'jan' 'feb' 'mar' 'apr' 'may' 'jun' 'jul' 'aug' 'sep' 'oct' 'nov' 'dec'};
histogram('categories',mo,'BinCounts',c)
  3 个评论
Sophia Salazar
Sophia Salazar 2019-7-26
I'm not sure I completley understand how this works, or if it is compatible with datetime types. I don't understand how to apply groupsummary to my data based on looking at the examples on its page.
I'm using a 900000x1 datetime array.

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