Sha256: cf245a2dc7a072fd9f7c8ef626cd8340b19f3a6d3095366007b66d2bd8b3f938
Contents?: true
Size: 1.86 KB
Versions: 5
Compression:
Stored size: 1.86 KB
Contents
loop_count: 3 contexts: - name: 0.3.0 gems: red_amber: 0.3.0 - name: HEAD prelude: | $LOAD_PATH.unshift(File.expand_path('lib')) prelude: | require 'red_amber' include RedAmber require 'datasets-arrow' package = 'nycflights13' airlines = DataFrame.new(Datasets::Rdatasets.new(package, 'airlines')) airports = DataFrame.new(Datasets::Rdatasets.new(package, 'airports')) flights = DataFrame.new(Datasets::Rdatasets.new(package, 'flights')) .pick(%i[month day carrier flight tailnum origin dest air_time distance]) planes = DataFrame.new(Datasets::Rdatasets.new(package, 'planes')) weather = DataFrame.new(Datasets::Rdatasets.new(package, 'weather')) flights_Q1 = flights.slice { month <= 3 } flights_Q2 = flights.slice { month > 3 } flights_1_2 = flights_Q1.slice { month.is_in(1, 2) } flights_1_3 = flights_Q1.slice { month.is_in(1, 3) } flights_left = flights_Q1.pick(...5) flights_right = flights_Q1.pick(5..) benchmark: 'C01: Inner join on flights_Q1 by carrier': | flights_Q1.inner_join(airlines, :carrier) 'C02: Full join on flights_Q1 by planes': | flights_Q1.full_join(planes, :tailnum) 'C03: Left join on flights_Q1 by planes': | flights_Q1.left_join(planes, :tailnum) 'C04: Semi join on flights_Q1 by planes': | flights_Q1.semi_join(planes, :tailnum) 'C05: Anti join on flights_Q1 by planes': | flights_Q1.anti_join(planes, :tailnum) 'C06: Intersection of flights_1_2 and flights_1_3': | flights_1_2.intersect(flights_1_3) 'C07: Union of flights_1_2 and flights_1_3': | flights_1_2.union(flights_1_3) 'C08: Difference between flights_1_2 and flights_1_3': | flights_1_2.difference(flights_1_3) 'C09: Concatenate flight_Q1 on flight_Q2': | flights_Q1.concatenate(flights_Q2) 'C10: Merge flights_Q1_right on flights_Q1_left': | flights_left.merge(flights_right)
Version data entries
5 entries across 5 versions & 1 rubygems