lisc.collect_across_time

lisc.collect_across_time(obj, years, **collect_kwargs)

Collect data across time epochs.

Parameters

objCounts1D, Counts, Words

Object to collect data with.

yearslist of int

Years to collect literature for.

**collect_kwargs

Additional keyword arguments to pass into the collect function.

Returns

resultsdict

Results collected across time. Each key reflects the start year, and each value is a object with search results.

Notes

Time regions are defined as the set of regions {start of years[n] to end of years[n]-1}. For example, for years = [1990, 1995, 2000], this would search for:

{01/01/1990 to 12/31/1994; 01/01/1995 to 12/31/1990}

Similarly, for years = [2000, 2001, 2002, 2003], this would search for:

{01/01/2000 to 12/31/2000; 01/01/2001 to 12/31/2001; 01/01/2002 to 12/31/2002}

Note that this means that final element in years is not included in the search. Also, this function only currently supports contiguous, whole year search times.

Examples

Collect counts for a single set of search terms, across time:

>>> from lisc.objects.counts import Counts1D
>>> counts = Counts1D()
>>> counts.add_terms([['frontal lobe'], ['temporal lobe']])
>>> years = [1950, 1975, 2000]
>>> results = collect_across_time(counts, years)