我有一个提供数据的功能A
{{id 1,:obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{id 2,:obs/A "12", :obs/value 4.0, :obs/color "blue"}
{id 3,:obs/A "13", :obs/value 3.0, :obs/color "green"}
{id 3,:obs/A "15", :obs/value 7.0, :obs/color "red"}...}
and a function B which gives the data
{{id 2,:obs/A "11", :obs/value 7.0, :obs/shape "square"}
{id 2,:obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{id 6,:obs/A "15", :obs/value 3.0, :obs/shape "triangle"}...}
I want to map obs/value from both functions which match with same obs/A.
Here the result will be like {(2.0,7.0),(3.0,4.0)..}
我正在使用过滤器功能和地图,但无法获得正确的代码。
谢谢。
答案 0 :(得分:0)
更新2016-9-26 1727:我添加了一个更好的解决方案,它使用DataScript来完成所有艰苦的工作。请在最后查看其他解决方案。
这是一个有效的答案(没有DataScript):
(ns clj.core
(:require [tupelo.core :as t]
[clojure.set :as set] ))
(t/refer-tupelo)
(def x
[ {:id 1, :obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{:id 2, :obs/A "12", :obs/value 4.0, :obs/color "blue"}
{:id 3, :obs/A "13", :obs/value 3.0, :obs/color "green"}
{:id 3, :obs/A "15", :obs/value 7.0, :obs/color "red"} ] )
(def y
[ {:id 2, :obs/A "11", :obs/value 7.0, :obs/shape "square"}
{:id 2, :obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{:id 6, :obs/A "15", :obs/value 3.0, :obs/shape "triangle"} ] )
(newline) (println "x") (pretty x)
(newline) (println "y") (pretty y)
; Note this assumes that :obs/A is unique in each sequence x and y
(def xa (group-by :obs/A x))
(def ya (group-by :obs/A y))
(newline) (println "xa") (pretty xa)
(newline) (println "ya") (pretty ya)
(def common-a (set/intersection (set (keys xa)) (set (keys ya))))
(newline) (spyx common-a)
(def values-map
(apply glue
(for [aval common-a]
{ (-> aval xa only :obs/value)
(-> aval ya only :obs/value) } )))
(newline) (spyx values-map)
> lein run
x
[{:id 1, :obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{:id 2, :obs/A "12", :obs/value 4.0, :obs/color "blue"}
{:id 3, :obs/A "13", :obs/value 3.0, :obs/color "green"}
{:id 3, :obs/A "15", :obs/value 7.0, :obs/color "red"}]
y
[{:id 2, :obs/A "11", :obs/value 7.0, :obs/shape "square"}
{:id 2, :obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{:id 6, :obs/A "15", :obs/value 3.0, :obs/shape "triangle"}]
xa
{"11" [{:id 1, :obs/A "11", :obs/value 2.0, :obs/color "yellow"}],
"12" [{:id 2, :obs/A "12", :obs/value 4.0, :obs/color "blue"}],
"13" [{:id 3, :obs/A "13", :obs/value 3.0, :obs/color "green"}],
"15" [{:id 3, :obs/A "15", :obs/value 7.0, :obs/color "red"}]}
ya
{"11" [{:id 2, :obs/A "11", :obs/value 7.0, :obs/shape "square"}],
"13" [{:id 2, :obs/A "13", :obs/value 4.0, :obs/shape "circle"}],
"15" [{:id 6, :obs/A "15", :obs/value 3.0, :obs/shape "triangle"}]}
common-a => #{"15" "13" "11"}
values-map => {7.0 3.0, 3.0 4.0, 2.0 7.0}
这就像制作一个迷你数据库并询问(sql伪代码):
select x.value, y.value from
(natural join x, y on A)
如果你这样做很多,你可能会发现使用像PostgreSQL或Datomic这样的真实数据库是有用的,或者对于仅限内存的东西,可以考虑使用clojure lib DataScript。
以下是DataScript的答案:
(ns clj.core
(:require [tupelo.core :as t]
[datascript.core :as d]
[clojure.set :as set] ))
(t/refer-tupelo)
(def data
[ {:type :x :local/id 1, :obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{:type :x :local/id 2, :obs/A "12", :obs/value 4.0, :obs/color "blue"}
{:type :x :local/id 3, :obs/A "13", :obs/value 3.0, :obs/color "green"}
{:type :x :local/id 3, :obs/A "15", :obs/value 7.0, :obs/color "red"}
{:type :y :local/id 2, :obs/A "11", :obs/value 7.0, :obs/shape "square"}
{:type :y :local/id 2, :obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{:type :y :local/id 6, :obs/A "15", :obs/value 3.0, :obs/shape "triangle"} ] )
(def conn (d/create-conn {}))
(d/transact! conn data)
(def labelled-result
(d/q '[:find ?a ?value1 ?value2
:where
[?ex :type :x] [?ex :obs/A ?a] [?ex :obs/value ?value1]
[?ey :type :y] [?ey :obs/A ?a] [?ey :obs/value ?value2]
] @conn ))
(newline) (println "labelled-result") (pretty labelled-result)
(def unlabelled-result
(d/q '[:find ?value1 ?value2
:where
[?ex :type :x] [?ex :obs/A ?a] [?ex :obs/value ?value1]
[?ey :type :y] [?ey :obs/A ?a] [?ey :obs/value ?value2]
] @conn ))
(newline) (println "unlabelled-result") (pretty unlabelled-result)
> lein run
labelled-result
#{["13" 3.0 4.0] ["11" 2.0 7.0] ["15" 7.0 3.0]}
unlabelled-result
#{[3.0 4.0] [2.0 7.0] [7.0 3.0]}
答案 1 :(得分:0)
好的,我并非100%确定我已经掌握了你的问题,但是根据你所描述的,你有两个任意地图列表,你从所有的地方收集特定的元素映射到列表。使用其中一个合并(merge-fn,可能是?)可能是一个真正灵巧的方法,但是使用普通的旧的reduce,你可以这样做:
(vals (reduce
(fn[acc i]
(let [k (:key i)
v (:value i)]
(assoc acc k (conj (acc k) v)))) {} (concat a n)))
让我们仔细看看。从结尾开始:
(concat a n)
我连接列表是因为您已经表明它们是完全独立的地图列表。列表中没有唯一性,因此将它们全部视为一个列表可能会有所不同。
{}
我传了一张空地图。我们想要一张地图,因为在构建地图时,我们需要使用我们的首选密钥跟踪我们在哪里放置内容。为了减少,我传递了一个函数:
(fn[acc i]
它需要一个累加器和一个项目(分别是acc和i)。我们从i中取出密钥,这是我们的地图:
(let [k (:key i)
我用过:键是为了清晰,但在你的例子中,你想要的是obs / A.然后我取值:
v (:value i)]
然后我将该值与累加器中的键相关联,并将其与已存在的值相关联:
(assoc acc k (conj (acc k) v))))
这是一个很好的技巧:
(conj nil :whatever)
返回
'(whatever)
和
(conj '(:whatever) :something)
返回:
'(:whatever :something)
所以你不必为第一种情况做任何特别的事情。
当我们全部完成后,我们会有一张包含所有相关值的地图,就像我的情况一样:
(def a [{:key 1 :value 2}{:key 2 :value 3}])
(def n [{:key 1 :value 3}{:key 2 :value 4}])
所以,只有减少回报:
=> {1 (3 2), 2 (4 3)}
我们只想要地图的值,所以我们将它们全部包含在一个vals中并且瞧瞧:
'((3 2) (4 3))
希望有所帮助。
答案 2 :(得分:0)
如果你知道在同一个集合中没有相同:obs/A
的项目,你可以将两个集合连接起来,在:obs/A
上对它们进行分组,并保留值在2个项目中的值组:
user> (def rel1 #{{:id 1,:obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{:id 2,:obs/A "12", :obs/value 4.0, :obs/color "blue"}
{:id 3,:obs/A "13", :obs/value 3.0, :obs/color "green"}
{:id 3,:obs/A "15", :obs/value 7.0, :obs/color "red"}})
#'user/rel1
user> (def rel2 #{{:id 2,:obs/A "11", :obs/value 7.0, :obs/shape "square"}
{:id 2,:obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{:id 6,:obs/A "15", :obs/value 3.0, :obs/shape "triangle"}})
#'user/rel2
user> (keep (fn [[_ v]] (when (> (count v) 1) (map :obs/value v)))
(group-by :obs/A (concat rel1 rel2)))
;;=> ((3.0 4.0) (7.0 3.0) (2.0 7.0))
否则您首先必须找到两个集合中存在的:obs/A
值,然后找到相应的值:
user> (let [r1 (group-by :obs/A rel1)
r2 (group-by :obs/A rel2)
;; keysets intersection
ks (keep (set (keys r1)) (keys r2))]
(map #(map :obs/value (concat (r1 %) (r2 %)))
ks))
;;=> ((2.0 7.0) (7.0 3.0) (3.0 4.0))
答案 3 :(得分:0)
data
是合并后的回复:
(into {} (for [[k v] (group-by :obs/A data)]
(if (= 2 (count v))
[k (map :obs/value v)])))
=> {"11" (2.0 7.0), "13" (3.0 4.0), "15" (7.0 3.0)}
如果您不想使用标签,请使用vals
答案 4 :(得分:0)
使用clojure.set:
(def a #{{:id 1,:obs/A "11", :obs/value 2.0, :obs/color "yellow"}
{:id 2,:obs/A "12", :obs/value 4.0, :obs/color "blue"}
{:id 3,:obs/A "13", :obs/value 3.0, :obs/color "green"}
{:id 3,:obs/A "15", :obs/value 7.0, :obs/color "red"}})
(def b #{{:id 2,:obs/A "11", :obs/value 7.0, :obs/shape "square"}
{:id 2,:obs/A "13", :obs/value 4.0, :obs/shape "circle"}
{:id 6,:obs/A "15", :obs/value 3.0, :obs/shape "triangle"}})
(use 'clojure.set)
(->> [a b]
(map #(index % [:obs/A]))
(apply merge-with union)
vals
(map (partial map :obs/value)))
答案:((3.0 4.0)(4.0)(3.0 7.0)(7.0 2.0))