This turns out to be surprisingly difficult without DATETIME et al supporting ISO 8601 weeknumbers.
The rules for ISO 8601 week numbers and the corresponding years are not a trivial thing to implement:
Here is an alternative approach using the CATEGORICAL class:
First lets create some random fake data (I selected these years to match some examples on that wiki page):
[Y0,M0] = meshgrid(80:81,1:52);
YW = double(compose("%02d%02d",Y0(:),M0(:)));
YW = [7952;YW;8201]
YW =
7952
8001
8002
8007
8008
8009
8010
8011
8012
8013
Now we can convert to categorical and try some different plots.
The simplest approach only plots the dates that exist in your data. If your data contains all dates between the start and end dates or you are happy to miss the dates that your data does not contain, then this might be sufficient for your needs:
Hmm, it appears that by default the axes show all categories. We could explicitly specify a subset of those ticks:
idx = mod(double(string(axh.XTick)),10)~=0;
However the spacing is not even due to the missing dates (except between YY50 and YY10, where a larger step is expected!)
So we need to filll in the gaps. We can do this by creating every category for every week between the end dates... the complication is that we have to consider the fact that ISO 8601 week-numbering years may have either 52 or 53 weeks in them. Hmmm, not so trivial either.
Here is one approach. We generate every Thursday for those years:
DW = dateshift(datetime(min(YY),1,1),'dayofweek','Thursday'):calweeks(1):datetime(max(YY),12,31);
W2 = week(DW,'iso-weekofyear');
Now we can generate all categories, with the correct number of weeks for each year:
C2 = compose("%02d%02d",Y2(:),W2(:))
Then add those categories to the existing data using SETCATS:
idx = mod(double(string(axh.XTick)),10)~=0;
Done. The plot shows all data with chronologically correctly spaced weeks, and all expected tick marks.
Hopefully this inspires you to experiment with the CATEGORICAL class... and get something working for you.
