jay*_*100 5 transpose list clojure map
您好:我想为地图中的所有值映射"平均值".说我有一张地图清单:
[{"age" 2 "height" 1 "weight" 10},
{"age" 4 "height" 4 "weight" 20},
{"age" 7 "height" 11 "weight" 40}]
Run Code Online (Sandbox Code Playgroud)
而我想要的输出是
{"age 5 "height" 5 ....}
Run Code Online (Sandbox Code Playgroud)
///下面是我大脑的谣言,也就是我想象这在Clojure工作的方式......不要太认真
转置清单:
{"age" [2 4 7] "height" [1 4 11] }
Run Code Online (Sandbox Code Playgroud)
然后我可以简单地做一些事情(再次,在这里编写一个名为freduce的函数)
(freduce average (vals (map key-join list)))
Run Code Online (Sandbox Code Playgroud)
要得到
{"age" 5 "weight" 10 "height" 7}
创建矢量地图:
(reduce (fn [m [k v]] (assoc m k (conj (get m k []) v))) {} (apply concat list-of-maps))
创建平均值图:
(reduce (fn [m [k v]] (assoc m k (/ (reduce + v) (count v)))) {} map-of-vectors)
看看合并与
这是我的一些实际代码:
(let [maps [{"age" 2 "height" 1 "weight" 10},
{"age" 4 "height" 4 "weight" 20},
{"age" 7 "height" 11 "weight" 40}]]
(->> (apply merge-with #(conj %1 %2)
(zipmap (apply clojure.set/union (map keys maps))
(repeat [])) ; set the accumulator
maps)
(map (fn [[k v]] [k (/ (reduce + v) (count v))]))
(into {})))
Run Code Online (Sandbox Code Playgroud)
这是一个相当详细的解决方案。希望有人能想出更好的办法:
(let [maps [{"age" 2 "height" 1 "weight" 10},
{"age" 4 "height" 4 "weight" 20},
{"age" 7 "height" 11 "weight" 40}]
ks (keys (first maps))
series-size (count maps)
avgs (for [k ks]
(/ (reduce +
(for [m maps]
(get m k)))
series-size))]
(zipmap ks avgs))
Run Code Online (Sandbox Code Playgroud)