Provide a method for modifying dimensions about stars HOT 9 CLOSED

There already was a

ss2 %>% st_set_dimensions("time", c("DJF", "MAM", "JJA", "SON"))

but the current setup should make this better. Pls test! See also e4d00b2

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Thanks! (tested, works)
I am honoured, I really appreciate it.

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If s %>% st_set_dimensions("time", c("MAM", "JJA", "SON", "DJF")) works, any reason why st_dimensions(s, "time") <- c("MAM", "JJA", "SON", "DJF") should not?

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There is no st_dimensions<-. A good reason to not have one is that st_set_dimensions takes three arguments, and all replacement functions, afaict, take two.

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all replacement functions, afaict, take two

Ah OK, I did not know this. Thanks for the clarification.

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@adrfantini I encountered this labelling in these lessons that use Python's xarray https://carpentrieslab.github.io/python-aos-lesson/

Is that labelling and "time.season" functionality common in Python tools, or in the work you do with climate data? (Is it a CMIP5 thing?) I don't see those seasonal labels in the file in the lesson, so I assume it's an xarray idiom - but would like to know if it's widely used? I find it pretty fragile given all the variability in ways that time and dates can be encoded, but maybe in CMIP5 it's reliable enough?

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@mdsumner I'm not sure I understand what you mean.
Climatological seasons are different from actual seasons, for simplicity.
Labelling seasons with the initials of the respective months is extremely common in climate science (only in the final data-analysis, not in simulations). In Europe for example you will see papers referring to 'DJF' as often as to 'winter', or even more. In the same way, the monsoon season is usually referred to as 'JJAS' in India.

Is this what you were asking?

EDIT: as far as python goes I don't use it much so I'afraid I cannot reply on that one.

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That answers, thanks! It looks like xarray has auto-interpreters for time and will apply groupby("time.season") as a special case with those month-triplets as output labels.

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