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Define an empty map
ruby
map = {}
fantom
map := [:]
clojure
(def m {})
Define an unmodifiable empty map
ruby
map = {}.freeze
fantom
map := [:].ro
clojure
; Clojure maps are immutable
(def m {})
(def m {})
Define an initial map
Define the map
{circle:1, triangle:3, square:4}
ruby
shapes = {'circle'=>1, 'triangle'=>3, 'square'=>4}
shapes = Hash['circle', 1, 'triangle', 3, 'square', 4]
shapes = { :circle => 1, :triangle => 3, :square => 4 }
fantom
map := ["circle":1, "triangle":2, "square":4]
clojure
(def m '{circle 1 triangle 1 square 4})
Check if a key exists in a map
Given a map pets
{joe:cat,mary:turtle,bill:canary} print "ok" if an pet exists for "mary"
ruby
puts "ok" if map.has_key?('mary')
puts "ok" if map['mary'] # Only works if map entry can't be nil or false
fantom
map := ["joe":"cat", "mary":"turtle", "bill":"canary"]
if (map.containsKey("mary")) echo("ok")
if (map.containsKey("mary")) echo("ok")
clojure
(if (contains? '{joe cat mary turtle bill canary} 'mary)
(println "ok"))
(println "ok"))
Retrieve a value from a map
Given a map pets
{joe:cat,mary:turtle,bill:canary} print the pet for "joe" ("cat")
ruby
puts map['joe']
fantom
map := ["joe":"cat", "mary":"turtle", "bill":"canary"]
pet := map["joe"]
echo("pet=$pet")
pet := map["joe"]
echo("pet=$pet")
clojure
(def pets '{joe cat mary turtle bill canary})
(println (get pets 'joe))
(println (get pets 'joe))
Add an entry to a map
Given an empty pets map, add the mapping from
"rob" to "dog"
ruby
pets['rob']='dog'
fantom
map["rob"] = "dog"
clojure
(assoc {} 'rob 'dog)
Remove an entry from a map
Given a map pets
{joe:cat,mary:turtle,bill:canary} remove the mapping for "bill" and print "canary"
ruby
puts map.delete :bill
fantom
pet := map.remove("bill")
echo ("pet=$pet")
echo ("pet=$pet")
clojure
; Maps are immutable
; The following expression will return a new map without the 'bill key
(let [pets '{joe cat mary turtle bill canary}]
(println (get pets 'bill))
(dissoc pets 'bill))
; The following expression will return a new map without the 'bill key
(let [pets '{joe cat mary turtle bill canary}]
(println (get pets 'bill))
(dissoc pets 'bill))
Create a histogram map from a list
Given the list
[a,b,a,c,b,b], produce a map {a:2, b:3, c:1} which contains the count of each unique item in the list
ruby
histogram = {}
list.each { |item| histogram[item] = (histogram[item] || 0) +1 }
list.each { |item| histogram[item] = (histogram[item] || 0) +1 }
list = %w{a b a c b b}
histogram = list.each_with_object(Hash.new(0)) do |item, hash|
hash[item] += 1
end
p histogram # => {"a"=>2, "b"=>3, "c"=>1}
histogram = list.each_with_object(Hash.new(0)) do |item, hash|
hash[item] += 1
end
p histogram # => {"a"=>2, "b"=>3, "c"=>1}
list.inject(Hash.new(0)) {|h, item| h[item] += 1; h}
csharp
using System.Collections.Generic;
using System.Linq;
// This is a "functional" C# approach
// NOTE: In C# "maps" are of type Dictionary<Tkey, TValue>
// so our histogram map is of type Dictionary<object, int>
public class HistogramMap {
public Dictionary<object, int> FromList(List<object> list) {
// The "Aggregate" method works like "inject" in many other languages.
return list.Aggregate(
new Dictionary<object, int>(),
(map, obj) => {
// If this is the first time we've seen this obj, set the count to 0
if (!map.ContainsKey(obj)) map[obj] = 0;
// Increment the count
map[obj]++;
// Return the map for the next iteration.
// NOTE: This does NOT return from our "FromList" method
return map;
}
);
}
public static void Main() {
// Create our Histogram Map from a new list
var map = new HistogramMap().FromList(
new List<object>() { 'a', 'b', 'a', 'c', 'b', 'b' }
);
// This just prints the result
System.Console.WriteLine (
string.Join (", ",
// "Select" works like "map" or "collect" in many other languages
map.Select( kvp =>
string.Format("{0} : {1}", kvp.Key, kvp.Value)
).ToArray()
)
);
}
}
using System.Linq;
// This is a "functional" C# approach
// NOTE: In C# "maps" are of type Dictionary<Tkey, TValue>
// so our histogram map is of type Dictionary<object, int>
public class HistogramMap {
public Dictionary<object, int> FromList(List<object> list) {
// The "Aggregate" method works like "inject" in many other languages.
return list.Aggregate(
new Dictionary<object, int>(),
(map, obj) => {
// If this is the first time we've seen this obj, set the count to 0
if (!map.ContainsKey(obj)) map[obj] = 0;
// Increment the count
map[obj]++;
// Return the map for the next iteration.
// NOTE: This does NOT return from our "FromList" method
return map;
}
);
}
public static void Main() {
// Create our Histogram Map from a new list
var map = new HistogramMap().FromList(
new List<object>() { 'a', 'b', 'a', 'c', 'b', 'b' }
);
// This just prints the result
System.Console.WriteLine (
string.Join (", ",
// "Select" works like "map" or "collect" in many other languages
map.Select( kvp =>
string.Format("{0} : {1}", kvp.Key, kvp.Value)
).ToArray()
)
);
}
}
new[] {"a","b","a","c","b","b"}
.GroupBy(s => s)
.Select(s => new { Value = s.Key, Count = s.Count() })
.ToList()
.ForEach(e => Console.WriteLine("{0} : {1} ", e.Value, e.Count));
.GroupBy(s => s)
.Select(s => new { Value = s.Key, Count = s.Count() })
.ToList()
.ForEach(e => Console.WriteLine("{0} : {1} ", e.Value, e.Count));
fantom
list := ["a","b","a","c","b","b"]
map := [Str:Int][:]
list.each |Str s, Int i| { if(!map.containsKey(s)) map.add(s,1); else map[s] = ++map[s] }
echo (map)
map := [Str:Int][:]
list.each |Str s, Int i| { if(!map.containsKey(s)) map.add(s,1); else map[s] = ++map[s] }
echo (map)
clojure
(let [l '[a b a c b b]]
(loop [m {}
d (distinct l)]
(let [item (first d)]
(if (zero? (count d))
m
(recur
(assoc m
item
(count
(filter #(= item %) l)))
(rest d))))))
(loop [m {}
d (distinct l)]
(let [item (first d)]
(if (zero? (count d))
m
(recur
(assoc m
item
(count
(filter #(= item %) l)))
(rest d))))))
(->> [:a :b :a :c :b :b]
(group-by identity)
(reduce (fn [m e] (assoc m (first e) (count (second e)))) {}))
(group-by identity)
(reduce (fn [m e] (assoc m (first e) (count (second e)))) {}))
(reduce conj {} (for [[x xs] (group-by identity "abacbb")] [x (count xs)]))
(frequencies ["a","b","a","c","b","b"])
(frequencies '[a b a c b b])
Categorise a list
Given the list
[one, two, three, four, five] produce a map {3:[one, two], 4:[four, five], 5:[three]} which sorts elements into map entries based on their length
ruby
lengths = {}
list.each do |x|
len = x.size
lengths[len] = (lengths[len] || [])
lengths[len] << x
end
list.each do |x|
len = x.size
lengths[len] = (lengths[len] || [])
lengths[len] << x
end
lengths = list.group_by {|x| x.size}
list.inject({}) { |h,x| (h[x.size]||=[]) << x; h }
csharp
using System.Collections.Generic;
using System.Linq;
public class ListCategorizer {
public static void Main() {
var list = new List<string>() { "one", "two", "three", "four", "five" };
var categories = list.GroupBy(el => el.Length)
.ToDictionary( g => g.Key, // key
g => g.ToList() ); // value
}
}
using System.Linq;
public class ListCategorizer {
public static void Main() {
var list = new List<string>() { "one", "two", "three", "four", "five" };
var categories = list.GroupBy(el => el.Length)
.ToDictionary( g => g.Key, // key
g => g.ToList() ); // value
}
}
fantom
list := ["one", "two", "three", "four", "five"]
map := [Int:List][:]
list.each { List l := map[it.size] ?: [,]; map[it.size] = l.add(it) }
echo(map)
map := [Int:List][:]
list.each { List l := map[it.size] ?: [,]; map[it.size] = l.add(it) }
echo(map)
clojure
(loop [m {}
l ["one" "two" "three" "four" "five"]]
(if (zero? (count l))
m
(let [item (first l)
key (count item)]
(recur
(assoc m key (cons item (get m key [])))
(rest l)))))
l ["one" "two" "three" "four" "five"]]
(if (zero? (count l))
m
(let [item (first l)
key (count item)]
(recur
(assoc m key (cons item (get m key [])))
(rest l)))))
(group-by count ["one" "two" "three" "four" "five"])
