问题描述
我有一个函数A给出数据
I have a function A which gives the data
{{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)..}
我使用过滤器函数和映射,但是无法获得正确的代码。
I am using filter functions and map but couldnt get correct code.
谢谢。
推荐答案
更新2016-9-26 1727:我添加了一个更好的解决方案,使用DataScript做所有的辛勤工作。
UPDATE 2016-9-26 1727: I added a better solution that uses DataScript to do all of the hard work. Please see the additional solution at the end.
这是一个有效的答案(不含DataScript):
Here is an answer that works (w/o 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}
就像做一个迷你数据库和询问伪代码):
It is like making a mini database and asking (sql pseudocode):
select x.value, y.value from
(natural join x, y on A)
如果你这样做,你可能会发现使用像PostgreSQL或Datomic这样的真实数据库是有用的,
If you are doing this alot, you may find that using a real DB like PostgreSQL or Datomic is useful, or for memory-only stuff consider the clojure lib DataScript.
这里是DataScript答案:
Here is the DataScript answer:
(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]}
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